Big Data Analytics in Health

  21 hours

Hadoop and Spark for Administrators

  35 hours

Apache Spark for .NET Developers

  21 hours

Apache Spark Fundamentals

  21 hours

Apache Spark in the Cloud

  21 hours

Spark for Developers

  21 hours

Python, Spark, and Hadoop for Big Data

  21 hours

Apache Spark SQL

  7 hours

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

  21 hours

Apache Spark MLlib

  35 hours

Alluxio: Unifying Disparate Storage Systems

  7 hours

Introduction to Graph Computing

  28 hours

Hortonworks Data Platform (HDP) for Administrators

  21 hours

A Practical Introduction to Stream Processing

  21 hours

Magellan: Geospatial Analytics on Spark

  14 hours

SMACK Stack for Data Science

  14 hours

Scaling Data Pipelines with Spark NLP

  14 hours

Python and Spark for Big Data (PySpark)

  21 hours

Apache Spark Streaming with Scala

  21 hours

Richard is very calm and methodical, with an analytic insight - exactly the qualities needed to present this sort of course.

Kieran Mac Kenna [Spark for Developers]

We know a lot more about the whole environment.

John Kidd [Spark for Developers]

The trainer made the class interesting and entertaining which helps quite a bit with all day training.

Ryan Speelman [Spark for Developers]

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

Michael Nemerouf [Spark for Developers]

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

Laura Kahn [Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP]

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 [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 [Big Data Analytics in Health]

practice tasks

Pawel Kozikowski - GE Medical Systems Polska Sp. Zoo [Python and Spark for Big Data (PySpark)]

Small group (4 trainees) and we could progress together. Also the trainer could so help everybody.

- ICE International Copyright Enterprise Germany GmbH [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 [Spark for Developers]

The lab exercises. Applying the theory from the first day in subsequent days.

- Dell [A Practical Introduction to Stream Processing]

* Organization * Trainer's expertise with the subject

- ENGIE- 101 Arch Street [Python and Spark for Big Data (PySpark)]

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 [Spark for Developers]

The lessons were taught in a Jupyter notebook. The topics were structured with a logical sequence and naturally helped develop the session from the easier parts to the more complex. I'm already an advanced user of Python with background in Machine Learning, so found the course easier to follow than, possibly, some of my classmates that took the training course. I appreciate that some of the most elementary concepts were skipped and that he focused on the most substantial matters.

Angela DeLaMora - ADT, LLC [Python and Spark for Big Data (PySpark)]

NA

DBS [Python and Spark for Big Data (PySpark)]

hands on Training..

Abraham Thomas - PPL [Python and Spark for Big Data (PySpark)]

individual attention.

ARCHANA ANILKUMAR - PPL [Python and Spark for Big Data (PySpark)]

get to learn spark streaming , databricks and aws redshift

Lim Meng Tee - Jobstreet.com Shared Services Sdn. Bhd. [Apache Spark in the Cloud]

The content and the knowledge .

Jobstreet.com Shared Services Sdn. Bhd. [Apache Spark in the Cloud]

It was very informative. I've had very little experience with Spark before and so far this course has provided a very good introduction to the subject.

Intelligent Medical Objects [Apache Spark in the Cloud]

It was great to get an understanding of what is going on under the hood of Spark. Knowing what's going on under the hood helps to better understand why your code is or is not doing what you expect it to do. A lot of the training was hands on which is always great and the section on optimizations was exceptionally relevant to my current work which was nice.

Intelligent Medical Objects [Apache Spark in the Cloud]

This is a great class! I most appreciate that Andras explains very clearly what Spark is all about, where it came from, and what problems it is able to solve. Much better than other introductions I've seen that just dive into how to use it. Andras has a deep knowledge of the topic and explains things very well.

Intelligent Medical Objects [Apache Spark in the Cloud]

The live examples that were given and showed the basic aspects of Spark.

Intelligent Medical Objects [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 [Apache Spark in the Cloud]

Having hands on session / assignments

Poornima Chenthamarakshan - Intelligent Medical Objects [Apache Spark in the Cloud]

Trainer adjusted the training slightly based on audience request , so throw some light on few diff topics that we have requested

Intelligent Medical Objects [Apache Spark in the Cloud]

His pace, was great. I loved the fact he went into theory too so that I understand WHY i would do the things he is asking.

Intelligent Medical Objects [Apache Spark in the Cloud]

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.

  [Spark for Developers]

This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.

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

The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.

  [A Practical Introduction to Stream Processing]





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