Transact SQL Advanced Training Course

This instructor-led, live training in Czech Republic (online or onsite) targets intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.

By the end of this training, participants will be able to:

• Perform advanced querying techniques using unions, subqueries, and complex joins.
• Add, update, and delete data, tables, views, and indexes with precision.
• Ensure data integrity through transactions and manipulate database structures.
• Create and manage databases efficiently for robust data storage and retrieval.

AI for SQL refers to the application of artificial intelligence and large language models (LLMs) to automate, optimize, and enhance the generation, execution, and interpretation of SQL queries within enterprise data environments.

This instructor-led live training, available online or onsite, is designed for intermediate-level data engineers and technical leads looking to integrate AI capabilities into their SQL workflows. The course enables natural language querying, intelligent optimization, and automated data analysis.

Upon completion of this training, participants will be able to:

• Integrate LLMs such as GPT, DeepSeek, LLaMA, Qwen, and Mistral into SQL environments.
• Develop natural-language-to-SQL pipelines for conversational data access.
• Implement AI-driven query optimization and error detection mechanisms.
• Design secure, auditable AI-SQL workflows suitable for enterprise use.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to arrange details.

This instructor-led live training (online or on-site) targets intermediate database administrators, SQL developers, and data analysts seeking to improve their SQL skills through the mastery of Analytic Functions.

By the conclusion of this training, participants will be able to:

• Understand the concept and importance of Analytic Functions.
• Apply various Analytic Functions to solve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimize queries for better performance using Analytic Functions.

 SQL Database Management and Design equips practitioners with advanced techniques for building relational databases from foundational queries to schema design. Covers core principles of SQL query commands, union operations, aggregation functions, and entity relationship modeling. Examines proven methods for multi-table joins, transaction management, and ACID properties. Helps professionals normalize tables, optimize data selection, and design robust database architectures for reliable information systems.

This course provides a comprehensive understanding of how to use SQL across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining multiple tables, participants will learn to shift data analysis tasks from MS Excel directly to the database layer. This approach not only streamlines analysis but also supports the development of any IT system that relies on relational databases.

SQL is the standard language for accessing and manipulating databases.

This instructor-led live training, available both online and onsite, is designed for beginners who want to learn how to understand and use SQL for data querying and reporting.

Upon completion of this training, participants will be able to:

• Grasp the structure of relational databases.
• Write fundamental SQL statements to retrieve, filter, and sort data.
• Utilize aggregate functions to summarize data.
• Perform basic joins across multiple tables.

Training Format

• Interactive lectures and discussions.
• Ample exercises and practice sessions.
• Practical implementation in a live lab environment.

Customization Options

• To request a customized version of this course, please contact us to make arrangements.

This instructor-led, live training in Czech Republic (online or onsite) targets beginner to intermediate-level data analysts, database professionals, and software developers who aim to master SQL for effective database management.

Upon completion of this training, participants will be able to:

• Comprehend and utilize core SQL commands and queries.
• Create and modify tables and databases.
• Employ SQL to sort, filter, and summarize data.
• Execute more complex operations, including joins, subqueries, and set operations.
• Apply intermediate techniques such as indexes, views, stored procedures, and triggers.

This instructor-led, live training in Czech Republic (online or onsite) is aimed at beginners, programmers, and database administrators who wish to learn or improve their SQL development skills and knowledge.

By the end of this training, participants will be able to install, create, manage, manipulate, and monitor databases using SQL and database management systems.

SQL is a standardized language used to query, manipulate, and manage data within relational database systems.

This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level users who wish to build efficient SQL queries and work confidently with relational databases.

By the end of this training, participants will gain the skills to:

• Construct SQL queries to retrieve, filter, and sort data.
• Manipulate data using insert, update, and delete operations.
• Create joins, subqueries, and aggregated reports.
• Apply advanced SQL techniques for real-world data analysis.

Format of the Course

• Instructor-led lectures combined with guided discussions.
• Hands-on query building and practical exercises.
• Live-lab demonstrations using real datasets.

Course Customization Options

• If you require a tailored SQL program for your organization, please contact us to arrange.

This SQL training program is designed for individuals seeking to develop the essential skills required to extract, analyze, and report on data from any database system. Participants will learn:

• how to construct SQL queries
• the concept of relational databases and their practical applications
• the definition of relations and methods for establishing them
• the fundamental structure of data
• key distinctions between SQL dialects (Oracle, T-SQL, ANSI)
• practical techniques for effective query writing

This course focuses on generic ANSI SQL, which is compatible with a wide range of database systems, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.

SQL serves as a robust language designed for managing and analyzing structured data within relational databases.

This instructor-led, live training—available either online or on-site—is tailored for intermediate-level professionals aiming to enhance their SQL capabilities, particularly regarding complex queries, data manipulation, and performance optimization.

Upon completing this training, participants will be capable of: 

• Constructing complex SQL queries that utilize advanced joins and subqueries. 
• Manipulating data effectively through INSERT, UPDATE, and DELETE operations. 
• Leveraging window functions for sophisticated analytics. 
• Optimizing queries to achieve superior performance.

Course Format

• Interactive lectures accompanied by discussions. 
• Extensive exercises and practical application. 
• Hands-on implementation within a live laboratory environment. 

Customization Options

• To request bespoke training for this course, please reach out to us to make arrangements. 

Developing efficient SQL queries for Microsoft SQL Server forms the cornerstone of every enterprise data pipeline. This course explores fundamental techniques, beginning with relational database models and advancing through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Participants will learn to navigate multi-table joins, set operators, DML operations, and transaction control to reliably extract and manipulate business intelligence datasets.

SSAS (SQL Server Analysis Services) is a data mining and online analytical processing (OLAP) solution within Microsoft SQL Server, designed to analyze data across various databases, tables, and files. The semantic models created by SSAS are utilized by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools.

In this instructor-led live training (available onsite or remotely), participants will learn how to leverage SSAS to analyze large datasets within databases and data warehouses.

By the conclusion of this training, participants will be able to:

• Install and configure SSAS
• Understand the relationships 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
• Extensive 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.

This instructor-led, live training in Czech Republic (online or onsite) is designed for beginner-level data professionals who wish to learn how to design, implement, and manage SSIS packages for data integration and transformation tasks.

Upon completing this training, participants will be able to:

• Understand the architecture and components of SSIS.
• Design and implement ETL processes using SSIS.
• Use SSIS tools to develop, deploy, and manage data integration solutions.
• Troubleshoot and optimize SSIS packages for performance and reliability.

SQL Server Integration Services (SSIS) is a component of Microsoft SQL Server that provides a platform for data integration and workflow applications. It is used for data migration, warehousing, and transformation tasks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals and developers who wish to focus on designing advanced SSIS data flows, transformations, and managing Slowly Changing Dimensions (SCD) for data warehousing scenarios.

By the end of this training, participants will be able to:

• Design and implement robust data flows using SSIS.
• Work with a variety of data sources, destinations, and transformations.
• Implement Slowly Changing Dimensions (SCD) for handling historical data changes.
• Deploy, execute, and troubleshoot SSIS packages effectively.

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.