Introduction to Spark & Use Cases

Spark is a programming model for doing large-scale data analysis in parallel, without focusing on the details of distributed computing; the same program you write for one computer will also work across many computers.

Spark builds on the MapReduce framework by providing an interactive environment that has a more general set of functions for manipulating data efficiently in-memory. The result is a highly scalable way of quickly exploring large data sets interactively.

This session will cover: An introduction to the Apache Spark, Spark Streaming, Spark SQL and discussion some real time Use Cases using Spark.