Course Outline
Introduction
- Apache Spark vs Hadoop MapReduce
Overview of Apache Spark Features and Architecture
Choosing a Programming Language
Setting up Apache Spark
Creating a Sample Application
Choosing the Data Set
Running Data Analysis on the Data
Processing of Structured Data with Spark SQL
Processing Streaming Data with Spark Streaming
Integrating Apache Spark with 3rd Part Machine Learning Tools
Using Apache Spark for Graph Processing
Optimizing Apache Spark
Troubleshooting
Summary and Conclusion
Requirements
- Experience with the Linux command line
- A general understanding of data processing
- Programming experience with Java, Scala, Python, or R
Audience
- Developers
Testimonials (5)
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
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
Get to learn spark streaming , databricks and aws redshift
Lim Meng Tee - Jobstreet.com Shared Services Sdn. Bhd.
Course - Apache Spark in the Cloud
practice tasks