Lokální instruktorem vedené GraphX školení České republice.
Reference
Richard is very calm and methodical, with an analytical insight - exactly the qualities needed to present this sort of course
Kieran Mac Kenna
Kurz: Spark for Developers
Applicable scenarios and cases
zhaopeng liu - Fmr
Kurz: Spark for Developers
case analysis
国栋 张
Kurz: Spark for Developers
all parts of this session
Eric Han - Fmr
Kurz: Spark for Developers
We know know a lot more about the whole environment
John Kidd
Kurz: Spark for Developers
The trainer made the class interesting and entertaining which helps quite a bit with all day trainings
Ryan Speelman
Kurz: Spark for Developers
I think the trainer had an excellent style of combining humor and real life stories to make the subjects at hand very approachable. I would highly recommend this professor in the future.
Kurz: Spark for Developers
Ernesto did a great job explaining the high level concepts of using Spark and it's various modules.
Michael Nemerouf
Kurz: Spark for Developers
I liked the methodology expected by Jorge
Experian Colombia S.A
Kurz: Spark for Developers
Richard was very willing to digress when we wanted to ask semi-related questions about things not on the syllabus. Explanations were clear and he was up front about caveats in any advice he gave us.
ARM Limited
Kurz: Spark for Developers
The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.
Safar Alqahtani - Elm Information Security
Kurz: Big Data Analytics in Health
Small group (4 trainees) and we could progress together. Also the trainer could so help everybody.
ICE International Copyright Enterprise Germany GmbH
Kurz: Spark for Developers
Ajay was very friendly, helpful and also knowledgable about the topic he was discussing.
Biniam Guulay - ICE International Copyright Enterprise Germany GmbH
Kurz: Spark for Developers
The lab exercises. Applying the theory from the first day in subsequent days.
Dell
Kurz: A Practical Introduction to Stream Processing
The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.
Kurz: A Practical Introduction to Stream Processing
I think the trainer had an excellent style of combining humor and real life stories to make the subjects at hand very approachable. I would highly recommend this professor in the future.
Kurz: Spark for Developers
The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.
Kurz: A Practical Introduction to Stream Processing
GraphX Návrh Školení
In this instructor-led, live training, participants will learn about the technology offerings and implementation approaches for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using a Graph Computing (also known as Graph Analytics) approach. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments.
By the end of this training, participants will be able to:
- Understand how graph data is persisted and traversed.
- Select the best framework for a given task (from graph databases to batch processing frameworks.)
- Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel.
- View real-world big data problems in terms of graphs, processes and traversals.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
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