Master-Apache-Spark

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, 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

Course Outline

1. An overview of the architecture of Apache Spark.
2. RDD transformations and actions
3. Spark SQL
4. Develop Apache Spark 2.0 applications with PySpark
5. Advanced techniques to optimize and tune Apache Spark jobs
6. Spark on Amazon's Elastic MapReduce service
7. Big data ecosystem overview
8. Datasets and DataFrames
9. Analyze structured and semi-structured data
10. broadcast variables and accumulators
11. Best practices of working with Apache Spark in the field.
12. Big data ecosystem overview.