iHUB | Коворкинг | Нур-Султан
Subcategories (3)
Explore Our Courses
Administration of Apache Spark
35 HoursBig Data Analytics in Health
21 HoursHadoop and Spark for Administrators
35 HoursApache Spark for .NET Developers
21 HoursSMACK Stack for Data Science
14 HoursApache Spark Fundamentals
21 HoursApache Spark in the Cloud
21 HoursSpark for Developers
21 HoursApache Spark Streaming with Scala
21 HoursApache Spark SQL
7 HoursApache Spark MLlib
35 HoursIntroduction to Graph Computing
28 HoursLast Updated:
Testimonials (14)
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
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
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
Aurelia-Adriana - Allianz Services Romania
Course - Python and Spark for Big Data (PySpark)
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
very interactive...
Richard Langford
Course - SMACK Stack for Data Science
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - A Practical Introduction to Stream Processing
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
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
This is one of the best hands-on with exercises programming courses I have ever taken.