Introduction to Apache Spark with Hands-on session - In Memory Map-Reduce

Details
Apache Spark has made a buzz in the industry with its superior performance (100 times faster than Hadoop Map-Reduce).
In this meetup, we are planning to cover a basic overview/need, use-cases, why important for data-scientist/machine learning developers (iterative algorithms) with examples.
Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala and Python, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.
Agenda:
- Brief Introduction
- Installation
- Brief Introduction about MLib, GraphX, and Spark Streaming
- Hands-on sessions - Installation, Few examples, and a small case study.
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Please read the pre-requisites for hands-on here on the below link.
https://www.meetup.com/Hyderabad-Programming-Geeks-Group/messages/boards/thread/47020022
Contact No: Rahul - +91-9908599937

Introduction to Apache Spark with Hands-on session - In Memory Map-Reduce