Apache Spark and Scala for Cassandra Professionals

Apache Cassandra is the most powerful NoSQL database.

Apache Spark is the best analytics engine for large–scale data processing.

It is very challenging for Apache Cassandra Database Administrators to learn a new language and a new analytics engine.

In this course we will start with the basics of Scala Language.

We will download and install Scala on CentOS Linux server.

We will understand what is Scala REPL (Read–Evaluate–Print–Loop).

We will discuss about Scala Variables, Data Types, var and val.

We will understand why these new technologies are using Immutable objects.

We will learn how to use for loop and foreach along with print and println.

We will understand how to use Apache Spark for various use cases along with Apache Cassandra use cases.

We will learn how to download and configure Apache Spark to build a cluster.

We will understand the configuration files for Spark Master and Spark Workers.

We will discuss about Spark Driver, Worker, Executor and Tasks.

We will learn how to start and stop Spark Master and Spark Workers.

We will use spark–shell to read data from CSV formatted files.

We will use spark–shell for operations such as count, take, foreach, print & println.

We will learn about filter, contains and map and reduce.