Lokální instruktorem vedené Business Intelligence školení České republice.
Reference
Practical tasks
EduBroker
Kurz: Talend Open Studio for Data Integration
Exercises
EduBroker
Kurz: Talend Open Studio for Data Integration
Training adjust the training according to our needs and knowledge. He understood participants experience with Power BI.
Cristian Tudor - Gilbarco ACIS SRL
Kurz: Creating Dashboards Using Microsoft Power BI
It is exciting to learn a new product although it has similarity with MS Excel it is of course different in many aspects
Recep Köroglu - European Patent Office
Kurz: Tableau Fundamentals
exercises
Giorgos Savorgiannakis - European Patent Office
Kurz: Tableau Fundamentals
Dax
Kristian Paul Lugtu - SYKES ASIA INC
Kurz: Power BI
exercices
European Patent Office
Kurz: Tableau Fundamentals
NA
SYKES ASIA INC
Kurz: Power BI
Good pace and knowledge demostrated by trainer. Exercises and examples were relevant for our line of work.
Tania Crespo - Grafton Merchanting GB
Kurz: Creating Dashboards Using Microsoft Power BI
The DAX logic, very useful to know more about it
Illya Teideman - Grafton Merchanting GB
Kurz: Creating Dashboards Using Microsoft Power BI
The exercises were great, really engaging and very hands on which allowed more of the information to be absorbed
Rajiv Pattar - Grafton Merchanting GB
Kurz: Creating Dashboards Using Microsoft Power BI
personalized training for participants
EduBroker Sp. z o.o.
Kurz: QlikView for Developers
involvement
Volkswagen Poznan Sp. z o.o.
Kurz: Getting Started with Apache Superset
no rigid scheme
Bartłomiej Waraczyński - Volkswagen Poznan Sp. z o.o.
Kurz: Getting Started with Apache Superset
The way of transferring knowledge and translating issues.
Anna Julia Solås
Kurz: Power BI
Everything
Sykes Asia Inc.
Kurz: Power BI
training itself
John Denver Virtucio - Sykes Asia Inc.
Kurz: Power BI
was really helpful and was willing to listen and provide what was needed. Provided card for questions to help once we use with our own data
shazad Yasin - Grafton Merchanting GB Ltd
Kurz: Creating Dashboards Using Microsoft Power BI
Costas covered all of the key areas of Power BI. He was very willing to spend additional time focusing on areas that were key to our business.
Dominic Harte - Grafton Merchanting GB Ltd
Kurz: Creating Dashboards Using Microsoft Power BI
As I was the only delegate on my course, the trainer was able to pace accordingly which meant we could cover more ground on each day.
KNOWLEDGEPOOL GROUP LIMITED
Kurz: Creating Dashboards Using Microsoft Power BI
The visualisation power BI is able to create with such ease!
Tom Darley - Grafton Merchanting GB Ltd
Kurz: Creating Dashboards Using Microsoft Power BI
no comments
Polska Agencja Rozwoju Przedsiębiorczości
Kurz: JasperReports
Pracujte u tablo
SMART Project Rokicki Śliwka Sp.j.
Kurz: Tableau Fundamentals
Machine Translated
covered basics as well as more advanced features. Finished a bit ahead of scheduled which allowed some time for real world questions from participants
Philip Morris Products SA OC Division
Kurz: Power BI for Business Analysts
Relevant info and tips
Bandeira Adrien - Philip Morris Products SA OC Division
Kurz: Power BI for Business Analysts
The knowledge of trainor about the tool.
Kendrick Bacani - Thakral One Inc.
Kurz: Data analysis with Tableau
The exercises made sense and they were well prepared
Philip Morris Products SA OC Division
Kurz: Power BI for Business Analysts
Cvičení a cvičení na cvičení.
Thakral One Inc.
Kurz: Data analysis with Tableau
Machine Translated
The training is very informative and interactive in terms of the hands-on activities.
John Marnel San Pedro - Thakral One Inc.
Kurz: Data analysis with Tableau
The training is very informative and interactive in terms of the hands-on activities.
John Marnel San Pedro - Thakral One Inc.
Kurz: Data analysis with Tableau
Exercises
Verna Villo - Thakral One Inc.
Kurz: Data analysis with Tableau
All the information and details he shared about Tableau and the examples he showed us as well
Thakral One Inc.
Kurz: Data analysis with Tableau
Způsob, jakým si je jistý, že každý praktikant rozumí každému procesu.
Thakral One Inc.
Kurz: Data analysis with Tableau
Machine Translated
Karthik speaks very clear and provides good examples. He tackled end-to-end things about Tableau and make sure that everyone understands the lesson.
Carmela Ursua - American Power Conversion
Kurz: Tableau Fundamentals
The course outline itself is structured very well. Even those who don't have idea with the subject can still follow.
Ian Benedict Almeida - American Power Conversion
Kurz: Tableau Fundamentals
The exercises, because we can already apply what have been taught to us.
American Power Conversion
Kurz: Tableau Fundamentals
all aspect with the introduction of connecting R programming and mySQL
Ailene Gonzaga - American Power Conversion
Kurz: Tableau Fundamentals
Přednášející velmi pečlivě vysvětlil každé vydání a oslavy
Beata Baran - HSBC Service Delivery (Polska) Sp. z o.o.
Kurz: Tableau Advanced
Machine Translated
New knowledge about SOAP and Rest API.
Total Access Communication Public Company Limited
Kurz: Talend Open Studio for Data Integration
It Good for many exercise.
Gun Thepinjai - Total Access Communication Public Company Limited
Kurz: Talend Open Studio for Data Integration
the flexibility and the expertise of the trainer and I got more interested in working with tableau
Mori Saed-Samii - Payolution
Kurz: Tableau Fundamentals
It is very much practice related. I was able to use Tableau right away!
Rainer Koch - Payolution
Kurz: Tableau Fundamentals
Business Intelligence Podkategorie
Business Intelligence Návrh Školení
Název školení
Doba trvání
Přehled
Název školení
Doba trvání
Přehled
35 hodin
Přehled
Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information.
High-value government solutions will be created from a mashup of the most disruptive technologies:
- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.
But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.
The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.
The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.
Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).
Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
High-value government solutions will be created from a mashup of the most disruptive technologies:
- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.
But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.
The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.
The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.
Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).
Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
7 hodin
Přehled
Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.
This instructor-led, live training (onsite or remote) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard.
By the end of this training, participants will be able to:
- Design beautiful and efficient dashboards following the critical rules.
- Choose the right charts based on the kind of data for display.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard.
By the end of this training, participants will be able to:
- Design beautiful and efficient dashboards following the critical rules.
- Choose the right charts based on the kind of data for display.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
28 hodin
Přehled
Talend Open Studio for Data Integration is an open-source data integration product used to combine, convert and update data in various locations across a business.
In this instructor-led, live training, participants will learn how to use the Talend ETL tool to carry out data transformation, data extraction, and connectivity with Hadoop, Hive, and Pig.
By the end of this training, participants will be able to
- Explain the concepts behind ETL (Extract, Transform, Load) and propagation.
- Define ETL methods and ETL tools to connect with Hadoop.
- Efficiently amass, retrieve, digest, consume, transform and shape big data in accordance to business requirements.
- Upload to and extract large records from Hadoop (optional), Hive (optional), and NoSQL databases.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to use the Talend ETL tool to carry out data transformation, data extraction, and connectivity with Hadoop, Hive, and Pig.
By the end of this training, participants will be able to
- Explain the concepts behind ETL (Extract, Transform, Load) and propagation.
- Define ETL methods and ETL tools to connect with Hadoop.
- Efficiently amass, retrieve, digest, consume, transform and shape big data in accordance to business requirements.
- Upload to and extract large records from Hadoop (optional), Hive (optional), and NoSQL databases.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
14 hodin
Přehled
Tableau helps people see and understand data.
14 hodin
Přehled
Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.
In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.
By the end of this training, participants will be able to:
- Integrate Tableau and Python using TabPy API
- Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
- Developers
- Data scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.
By the end of this training, participants will be able to:
- Integrate Tableau and Python using TabPy API
- Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
- Developers
- Data scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
21 hodin
Přehled
Tableau is a business intelligence and data visualization software. Tableau offers a wide array of developer tools and APIs for integration, customization, automation, and extension of Tableau features for organization-specific needs.
In this instructor-led, live training, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.
By the end of this training, participants will be able to:
- Install and configure Tableau (Desktop, Server, Online.)
- Understand the fundamentals of developing with Tableau.
- Create and publish data visualizations and interactions with Tableau.
- Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.
By the end of this training, participants will be able to:
- Install and configure Tableau (Desktop, Server, Online.)
- Understand the fundamentals of developing with Tableau.
- Create and publish data visualizations and interactions with Tableau.
- Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
14 hodin
Přehled
This is a Tableau user beginners course; it is intended for anyone who is looking to work with data and is designed to help you use the main functions in Tableau.
During the course you will be able to:
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
- Represent your data using the following visualization types:
- Cross tabs
- Geographic maps
- Heat maps
- Tree maps
- Pie charts and bar charts
- Dual axis and combined charts with different mark types
- Highlight Tables
- Scatter Plots
- Build dashboards to share visualizations.
During the course you will be able to:
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
- Represent your data using the following visualization types:
- Cross tabs
- Geographic maps
- Heat maps
- Tree maps
- Pie charts and bar charts
- Dual axis and combined charts with different mark types
- Highlight Tables
- Scatter Plots
- Build dashboards to share visualizations.
14 hodin
Přehled
This instructor-led, live training (onsite or remote) is aimed at data analysts and data scientists who wish to explore, organize, and visualize data using Apache Superset.
By the end of this training, participants will be able to:
- Install and configure Apache Superset.
- Combine data from different databases.
- Visualize large datasets.
- Create and share complex dashboards.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This training is based on the latest version of Apache Superset.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Apache Superset, please visit: https://superset.incubator.apache.org
By the end of this training, participants will be able to:
- Install and configure Apache Superset.
- Combine data from different databases.
- Visualize large datasets.
- Create and share complex dashboards.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This training is based on the latest version of Apache Superset.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Apache Superset, please visit: https://superset.incubator.apache.org
14 hodin
Přehled
SSAS (SQL Server Analysis Services), is a Microsoft SQL Server transactional processing (OLAP) and data mining tool for analyzing data across multiple databases, tables or files. The semantic data models provided by SSAS are used by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools.
In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses.
By the end of this training, participants will be able to:
- Install and configure SSAS
- Understand the relationship between SSAS, SSIS, and SSRS
- Apply multidimensional data modeling to extract business insights from data
- Design OLAP (Online Analytical Processing) cubes
- Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language
- Deploy real-world BI solutions using SSAS
Audience
- BI (Business Intelligence) professionals
- Data Analysts
- Database and data warehousing professionals
Format of the Course
- Interactive lecture and discussion
- Lots of exercises and practice
- Hands-on implementation in a live-lab environment
Course Customization Options
- This training is based on the latest version of Microsoft SQL Server and SSAS.
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses.
By the end of this training, participants will be able to:
- Install and configure SSAS
- Understand the relationship between SSAS, SSIS, and SSRS
- Apply multidimensional data modeling to extract business insights from data
- Design OLAP (Online Analytical Processing) cubes
- Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language
- Deploy real-world BI solutions using SSAS
Audience
- BI (Business Intelligence) professionals
- Data Analysts
- Database and data warehousing professionals
Format of the Course
- Interactive lecture and discussion
- Lots of exercises and practice
- Hands-on implementation in a live-lab environment
Course Customization Options
- This training is based on the latest version of Microsoft SQL Server and SSAS.
- To request a customized training for this course, please contact us to arrange.
14 hodin
Přehled
Splunk is a software platform used for searching, analyzing and visualizing machine-generated big data.
This instructor-led, live training (onsite or remote) is aimed at business managers and business analysts who wish to search, analyze, and visualize data using Splunk.
By the end of this training, participants will be able to:
- Install and configure Splunk.
- Collect and index all kinds of machine data.
- Implement real-time search, analysis and visualization of large datasets.
- Create and share complex dashboards and reports.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This training is based on the latest version of Splunk.
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at business managers and business analysts who wish to search, analyze, and visualize data using Splunk.
By the end of this training, participants will be able to:
- Install and configure Splunk.
- Collect and index all kinds of machine data.
- Implement real-time search, analysis and visualization of large datasets.
- Create and share complex dashboards and reports.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This training is based on the latest version of Splunk.
- To request a customized training for this course, please contact us to arrange.
14 hodin
Přehled
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.
In this instructor-led, live training, participants will learn how to start developing with QlikView.
By the end of this training, participants will be able to:
- Install and configure QlikView
- Transform data from various sources through QlikView scripting
- Build data models with QlikView
Audience
- Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to start developing with QlikView.
By the end of this training, participants will be able to:
- Install and configure QlikView
- Transform data from various sources through QlikView scripting
- Build data models with QlikView
Audience
- Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
7 hodin
Přehled
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.
In this instructor-led, live training, participants will learn how to use QlikView to support decision making in their organization.
By the end of this training, participants will be able to:
- Install and configure QlikView
- Analyze and display data using QliKView
- Use data discoveries from QlikView to support decision making
Audience
- Managers
- Business users
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to use QlikView to support decision making in their organization.
By the end of this training, participants will be able to:
- Install and configure QlikView
- Analyze and display data using QliKView
- Use data discoveries from QlikView to support decision making
Audience
- Managers
- Business users
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
28 hodin
Přehled
Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.
In this instructor-led, live training, participants will learn how to use Power BI to develop custom software solutions for the Power BI and Azure platforms.
By the end of this training, participants will be able to:
- Configure real-time dashboards.
- Create custom visualizations.
- Integrate rich analytics into existing applications.
- Embed interactive reports and visuals into existing applications.
- Access data from within an application.
- Master Power BI Portal, Desktop, Embedded and Rest API.
- Integrate R Scripts into Power BI Desktop.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to use Power BI to develop custom software solutions for the Power BI and Azure platforms.
By the end of this training, participants will be able to:
- Configure real-time dashboards.
- Create custom visualizations.
- Integrate rich analytics into existing applications.
- Embed interactive reports and visuals into existing applications.
- Access data from within an application.
- Master Power BI Portal, Desktop, Embedded and Rest API.
- Integrate R Scripts into Power BI Desktop.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
21 hodin
Přehled
Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.
In this instructor-led, live training (onsite or remote), participants will learn how to use Microsoft Power BI to analyze and visualize data using a series of sample data sets.
By the end of this training, participants will be able to:
- Create visually compelling dashboards that provide valuable insights into data.
- Obtain and integrate data from multiple data sources.
- Build and share visualizations with team members.
- Adjust data with Power BI Desktop.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This training is based on the latest version of Splunk.
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training (onsite or remote), participants will learn how to use Microsoft Power BI to analyze and visualize data using a series of sample data sets.
By the end of this training, participants will be able to:
- Create visually compelling dashboards that provide valuable insights into data.
- Obtain and integrate data from multiple data sources.
- Build and share visualizations with team members.
- Adjust data with Power BI Desktop.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This training is based on the latest version of Splunk.
- To request a customized training for this course, please contact us to arrange.
35 hodin
Přehled
Overview
Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month.
Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.
With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.)
This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.
Course objectives
Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:
- Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
- How Big Data analytic differs from legacy data analytic
- In-house justification of Big Data -Telco perspective
- Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
- How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
- Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
- Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
- Network failure and service failure analytics from Network meta-data and IPDR
- Financial analysis-fraud, wastage and ROI estimation from sales and operational data
- Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
- Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
- Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization
Target Audience
- Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
- Business Analysts in Telco
- CFO office managers/analysts
- Operational managers
- QA managers
Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month.
Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.
With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.)
This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.
Course objectives
Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:
- Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
- How Big Data analytic differs from legacy data analytic
- In-house justification of Big Data -Telco perspective
- Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
- How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
- Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
- Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
- Network failure and service failure analytics from Network meta-data and IPDR
- Financial analysis-fraud, wastage and ROI estimation from sales and operational data
- Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
- Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
- Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization
Target Audience
- Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
- Business Analysts in Telco
- CFO office managers/analysts
- Operational managers
- QA managers
7 hodin
Přehled
Microsoft Excel je nejoblíbenější software pro obchodní analýzu, reporting a strategii na světě. Power BI je nástroj business intelligence pro vizualizaci dat na provozní úrovni podnikání.
Tento instruktorem vedený živý trénink (na místě nebo na dálku) je zaměřen na analytiky dat, kteří se chtějí naučit techniky pro přípravu dat v Excel a poté je vizualizovat v Power BI .
Na konci tohoto školení budou účastníci schopni:
- Porozumět principům analýzy dat, cílům analýzy dat a přístupům k analýze dat.
- Pro komplexní výpočty použijte vzorce DAX v Power BI .
- Vytvářejte a používejte vizualizace a grafy pro konkrétní případy analýzy.
- Importujte pomocí Power View a přesuňte se z Power BI založeného na Excel na nezávislý Power BI .
Formát kurzu
- Interaktivní přednáška a diskuse.
- Spousta cvičení a cvičení.
- Praktická implementace v prostředí živé laboratoře.
Možnosti přizpůsobení kurzu
- Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás a domluvte se.
Tento instruktorem vedený živý trénink (na místě nebo na dálku) je zaměřen na analytiky dat, kteří se chtějí naučit techniky pro přípravu dat v Excel a poté je vizualizovat v Power BI .
Na konci tohoto školení budou účastníci schopni:
- Porozumět principům analýzy dat, cílům analýzy dat a přístupům k analýze dat.
- Pro komplexní výpočty použijte vzorce DAX v Power BI .
- Vytvářejte a používejte vizualizace a grafy pro konkrétní případy analýzy.
- Importujte pomocí Power View a přesuňte se z Power BI založeného na Excel na nezávislý Power BI .
Formát kurzu
- Interaktivní přednáška a diskuse.
- Spousta cvičení a cvičení.
- Praktická implementace v prostředí živé laboratoře.
Možnosti přizpůsobení kurzu
- Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás a domluvte se.
35 hodin
Přehled
Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another.
In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.
By the end of this training, participants will be able to:
- Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation
- Implement industrial big data storage and processing solutions for data analysis
- Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation
Audience
- Law Enforcement specialists with a technical background
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.
By the end of this training, participants will be able to:
- Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation
- Implement industrial big data storage and processing solutions for data analysis
- Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation
Audience
- Law Enforcement specialists with a technical background
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
35 hodin
Přehled
Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi.
This instructor-led, live training (onsite or remote) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.
By the end of this training, participants will be able to:
- Install and configure Power BI.
- Evaluate the various data solutions offered by cloud providers such as Azure.
- Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
- Apply tools and techniques to clean data in preparation for analysis.
- Build reporting and analytics solutions based on on-premise as well as cloud data.
- Integrate data analytics solutions with a data warehouse.
- Mitigate data security risks and ensure data privacy.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.
By the end of this training, participants will be able to:
- Install and configure Power BI.
- Evaluate the various data solutions offered by cloud providers such as Azure.
- Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
- Apply tools and techniques to clean data in preparation for analysis.
- Build reporting and analytics solutions based on on-premise as well as cloud data.
- Integrate data analytics solutions with a data warehouse.
- Mitigate data security risks and ensure data privacy.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 hodin
Přehled
Dashbuilder is an open-source web application for visually creating business dashboards and reports.
In this instructor-led, live training, participants will learn how to create business dashboards and reports using Dashbuilder.
By the end of this training, participants will be able to:
- Visual configure and personalize dashboards using drag-and-drop
- Create different types of visualizations using charting libraries
- Define interactive report tables
- Create and edit inline KPIs (Key Performance Indicators)
- Customize the look and feel of metric displayers
Audience
- Managers
- Analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to create business dashboards and reports using Dashbuilder.
By the end of this training, participants will be able to:
- Visual configure and personalize dashboards using drag-and-drop
- Create different types of visualizations using charting libraries
- Define interactive report tables
- Create and edit inline KPIs (Key Performance Indicators)
- Customize the look and feel of metric displayers
Audience
- Managers
- Analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
7 hodin
Přehled
Dashbuilder is an open-source web application for visually creating business dashboards and reports.
In this instructor-led, live training, participants will learn set up, configure, integrate and deploy Dashbuilder.
By the end of this training, participants will be able to:
- Extract data from heterogeneous sources such as JDBC databases and text files
- Use connectors to connect to third-party systems and platforms such as jBPM
- Configure roles, permissions and access controls for users
- Deploy Dashbuilder to a live production environment
Audience
- Developers
- IT and system architects
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn set up, configure, integrate and deploy Dashbuilder.
By the end of this training, participants will be able to:
- Extract data from heterogeneous sources such as JDBC databases and text files
- Use connectors to connect to third-party systems and platforms such as jBPM
- Configure roles, permissions and access controls for users
- Deploy Dashbuilder to a live production environment
Audience
- Developers
- IT and system architects
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
14 hodin
Přehled
Datameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion.
In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources.
By the end of this training, participants will be able to:
- Create, curate, and interactively explore an enterprise data lake
- Access business intelligence data warehouses, transactional databases and other analytic stores
- Use a spreadsheet user-interface to design end-to-end data processing pipelines
- Access pre-built functions to explore complex data relationships
- Use drag-and-drop wizards to visualize data and create dashboards
- Use tables, charts, graphs, and maps to analyze query results
Audience
- Data analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources.
By the end of this training, participants will be able to:
- Create, curate, and interactively explore an enterprise data lake
- Access business intelligence data warehouses, transactional databases and other analytic stores
- Use a spreadsheet user-interface to design end-to-end data processing pipelines
- Access pre-built functions to explore complex data relationships
- Use drag-and-drop wizards to visualize data and create dashboards
- Use tables, charts, graphs, and maps to analyze query results
Audience
- Data analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
21 hodin
Přehled
Apache Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo.
In this instructor-led, live course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.
Format of the Course
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
In this instructor-led, live course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.
Format of the Course
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
14 hodin
Přehled
Hotjar je nástroj, který odhaluje interakci a chování uživatelů. Díky službě Hotjar mohou vývojáři sledovat a zlepšovat uživatelské prostředí tím, že pochopí provoz uživatelů webových stránek a návštěvníků.
Toto školení vedené instruktory (na místě nebo na dálku) je zaměřeno na vývojáře webu, kteří chtějí odhalit interakci a chování uživatelů s Hotjarem.
Na konci tohoto školení budou účastníci schopni:
- Výzkum a profilové interakce uživatelů ve webové aplikaci.
- Získejte lepší porozumění uživatelům webových stránek a návštěvníkům, abyste zvýšili počet konverzí.
- Využijte a aplikujte nahrávky Hotjar vhodným způsobem, abyste odstranili chyby v designu webu a / nebo funkčnosti.
Formát kurzu
- Interaktivní přednáška a diskuse.
- Spousta cvičení a cvičení.
- Praktická implementace v prostředí živé laboratoře.
Možnosti přizpůsobení kurzu
- Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás a domluvte se.
Toto školení vedené instruktory (na místě nebo na dálku) je zaměřeno na vývojáře webu, kteří chtějí odhalit interakci a chování uživatelů s Hotjarem.
Na konci tohoto školení budou účastníci schopni:
- Výzkum a profilové interakce uživatelů ve webové aplikaci.
- Získejte lepší porozumění uživatelům webových stránek a návštěvníkům, abyste zvýšili počet konverzí.
- Využijte a aplikujte nahrávky Hotjar vhodným způsobem, abyste odstranili chyby v designu webu a / nebo funkčnosti.
Formát kurzu
- Interaktivní přednáška a diskuse.
- Spousta cvičení a cvičení.
- Praktická implementace v prostředí živé laboratoře.
Možnosti přizpůsobení kurzu
- Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás a domluvte se.
14 hodin
Přehled
About the Course:
Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop.
Audience:
This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads.
At Course Completion
Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.
- Power BI
- Power BI Desktop
- Working with CSV, TXT, and Excel Worksheets
- Connecting to Databases
- Merging, Grouping, Summarizing, and Calculating Data
- Reporting
- Power BI Online
Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop.
Audience:
This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads.
At Course Completion
Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.
- Power BI
- Power BI Desktop
- Working with CSV, TXT, and Excel Worksheets
- Connecting to Databases
- Merging, Grouping, Summarizing, and Calculating Data
- Reporting
- Power BI Online
14 hodin
Přehled
Informatica je softwarová společnost, která poskytuje produkty pro zřízení a údržbu procesů ETL. Procesy ETL zahrnují extrahování dat ze zdroje, jejich transformaci a načítání do cílového datového skladu.
Toto školení vedené instruktorem (na místě nebo na dálku) je zaměřeno na správce systému, kteří chtějí spravovat prostředí Informatica.
Na konci tohoto školení budou účastníci schopni:
- Vytvářejte mapování, úkoly a pracovní postupy pomocí aplikace PowerCenter.
- Udržujte migraci úložiště a externí systémy pro správu verzí.
- Import a / nebo export na úrovni metadat.
Formát kurzu
- Interaktivní přednáška a diskuse.
- Spousta cvičení a cvičení.
- Praktická implementace v prostředí živé laboratoře.
Možnosti přizpůsobení kurzu
- Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás a domluvte se.
Toto školení vedené instruktorem (na místě nebo na dálku) je zaměřeno na správce systému, kteří chtějí spravovat prostředí Informatica.
Na konci tohoto školení budou účastníci schopni:
- Vytvářejte mapování, úkoly a pracovní postupy pomocí aplikace PowerCenter.
- Udržujte migraci úložiště a externí systémy pro správu verzí.
- Import a / nebo export na úrovni metadat.
Formát kurzu
- Interaktivní přednáška a diskuse.
- Spousta cvičení a cvičení.
- Praktická implementace v prostředí živé laboratoře.
Možnosti přizpůsobení kurzu
- Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás a domluvte se.
7 hodin
Přehled
IRIS je systém ECM (Enterprise Content Management). Pomocí IRIS mohou uživatelé automatizovat klasifikaci dokumentů a sběr dat.
Tento instruktor, živý trénink (na pracovišti nebo vzdáleně), je zaměřen na manažery obsahu, kteří chtějí optimalizovat a aktualizovat obsah společnosti pomocí IRIS.
Na konci tohoto školení budou účastníci moci:
- Zdokonalte obchodní sestavy pomocí protokolu IRISXtract.
- Použití funkce IRISPowerscan k automatickému souboru dokumentů
- Zpracování nákupních objednávek, závazků, automatizace extrakce e-mailů a dalších souborů pomocí balíčků řešení
Formát kurzu
- Interaktivní přednáška a diskuse.
- Hodně cvičení a cviku.
- Praktická implementace v prostředí živé laboratoře.
Možnosti přizpůsobení kurzu
- Chcete-li požádat o vlastní školení pro tento kurz, kontaktujte nás prosím.
Tento instruktor, živý trénink (na pracovišti nebo vzdáleně), je zaměřen na manažery obsahu, kteří chtějí optimalizovat a aktualizovat obsah společnosti pomocí IRIS.
Na konci tohoto školení budou účastníci moci:
- Zdokonalte obchodní sestavy pomocí protokolu IRISXtract.
- Použití funkce IRISPowerscan k automatickému souboru dokumentů
- Zpracování nákupních objednávek, závazků, automatizace extrakce e-mailů a dalších souborů pomocí balíčků řešení
Formát kurzu
- Interaktivní přednáška a diskuse.
- Hodně cvičení a cviku.
- Praktická implementace v prostředí živé laboratoře.
Možnosti přizpůsobení kurzu
- Chcete-li požádat o vlastní školení pro tento kurz, kontaktujte nás prosím.
14 hodin
Přehled
JasperReports is an open-source reporting library that can be embedded into any Java application.
JasperReports Server is a Java EE web application with advanced reporting capabilities, including scheduling and permissions.
In this instructor-led, live training, participants will learn to use JasperReports to view and interact with business data as well as create and design reports and dashboards that are viewable on phones and tablets.
By the end of this training, participants will be able to:
- Set up and configure a JasperSoft ETL project
- Design and run an ETL job
- Use iReport to generate charts, images, sub-reports, and cross tabs
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
JasperReports Server is a Java EE web application with advanced reporting capabilities, including scheduling and permissions.
In this instructor-led, live training, participants will learn to use JasperReports to view and interact with business data as well as create and design reports and dashboards that are viewable on phones and tablets.
By the end of this training, participants will be able to:
- Set up and configure a JasperSoft ETL project
- Design and run an ETL job
- Use iReport to generate charts, images, sub-reports, and cross tabs
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Ostatní regiony
Ostatní země
Konzultace
Víkendové Business Intelligence kurzy, Večerní Business Intelligence školení, Business Intelligence přijímač, Business Intelligence vedené školitelem, Víkendové Business Intelligence školení, Večerní Business Intelligence kurzy, Business Intelligence koučování, Business Intelligence lektor, Business Intelligence školitel, Business Intelligence počítačová školení, Business Intelligence počítačové kurzy , Business Intelligence kurzy, Business Intelligence školení, Business Intelligence on-site, Business Intelligence uzavřená školení, Business Intelligence individuální školení
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