What you'll learn

Master the concepts of HDFS
Understand Hadoop 2.x Architecture
Understand Spark and its Ecosystem
Implement Spark operations on Spark Shell
Understand the role of Spark RDD
Work with RDD in Spark
Understand Spark SQL and it's architecture
Understand messaging system like Kafka and its components
Integrate Kafka with real time streaming
Understand Graph and Spark GraphX

Requirements

There are no such prerequisites for this Spark and Scala Training Course. However, prior knowledge of Core Java and SQL will be helpful but is not at all mandatory.

Description

Apache Spark 2.0 Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This course would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination. You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDDs, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib. This course is an integral part of a Big Data Developer's Career path. It will also encompass the fundamental concepts such as GraphX, SparkSQL, messaging system like Kafka, etc.

Who this course is for:

Developers and Architects
BI /ETL/DW Professionals
Senior IT Professionals
Testing Professionals
Mainframe Professionals
Freshers
Big Data Enthusiasts
Software Architects, Engineers and Developers
Data Scientists and Analytics Professionals