Apache Spark MLlib Training in Paris

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn

Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

A lot of practical examples, different ways to approach the same problem, and sometimes not so obvious tricks how to improve the current solution

Rafał - Nordea

Course - Apache Spark MLlib

Exercises and exchanges during questions/answers

Antoine - Physiobotic

Course - Scaling Data Pipelines with Spark NLP

Machine Translated

The good humor, support and skills of the trainer.

Oumayma - Physiobotic

Course - Scaling Data Pipelines with Spark NLP

Machine Translated

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

Course - Big Data Analytics in Health

Sufficient hands on, trainer is knowledgable

Chris Tan

Course - A Practical Introduction to Stream Processing

very interactive...

Richard Langford

Course - SMACK Stack for Data Science

Commitment and willingness to explain secondary topics.

Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.

Course - Apache Spark Fundamentals

Machine Translated

The trainer's practical experience, not coloring the discussed solution, but also not introducing a negative connotation. I feel that the trainer is preparing me for real and practical use of the tool - these valuable details are usually not found in books.

Krzysztof Miodek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.

Course - Apache Spark Fundamentals

Machine Translated

Having hands on session / assignments

Poornima Chenthamarakshan - Intelligent Medical Objects

Course - Apache Spark in the Cloud

1. Right balance between high level concepts and technical details. 2. Andras is very knowledgeable about his teaching. 3. Exercise

Steven Wu - Intelligent Medical Objects

Course - Apache Spark in the Cloud

Doing similar exercises different ways really help understanding what each component (Hadoop/Spark, standalone/cluster) can do on its own and together. It gave me ideas on how I should test my application on my local machine when I develop vs when it is deployed on a cluster.

Thomas Carcaud - IT Frankfurt GmbH

Course - 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

Course - Spark for Developers

Ernesto did a great job explaining the high level concepts of using Spark and its various modules.

Michael Nemerouf

Course - Spark for Developers

The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.

Raul Mihail Rat - Accenture Industrial SS

Course - Python, Spark, and Hadoop for Big Data

I liked that it managed to lay the foundations of the topic and go to some quite advanced exercises. Also provided easy ways to write/test the code.

Ionut Goga - Accenture Industrial SS

Course - Python, Spark, and Hadoop for Big Data