Big Data Hadoop & Spark Training

  • The Hadoop certification will help you learn how to distribute, store, and process data in a Hadoop cluster
  • After completing this course, you can easily write, configure, and deploy Apache Spark applications on a Hadoop cluster
  • Learn how to use the Spark shell for interactive data analysis
Overview
Course Objectives
Course Outline
Key Features
Who should attend

Overview

Big Data Hadoop & Spark training course is designed by industry experts and gives in-depth knowledge in big data framework using Hadoop tools (like HDFS, YARN, among others) and Spark software. This bootcamp training is a stepping stone for the learners who are willing to work on various big data projects.

This course will offer the most excellent practice environment for the real-world issues faced by Hadoop developers, With Big Data being the buzzword, Hadoop certification and skills are being sought by companies across the globe. Big Data Analytics is a priority for many large organizations, and it helps them improve performance.

Course Objectives

  • The Hadoop certification will help you learn how to distribute, store, and process data in a Hadoop cluster
  • After completing this course, you can easily write, configure, and deploy Apache Spark applications on a Hadoop cluster
  • Learn how to use the Spark shell for interactive data analysis
  • Use Spark Streaming to process a live data stream
  • Find out ways to process and query structured data using Spark SQL
  • This Hadoop course will help you use Flume and Kafka to ingest data for Spark Streaming.

Course Outline

  • Introduction to Big data and Hadoop Ecosystem
  • HDFS and Hadoop Architecture
  • MapReduce and Sqoop
  • Basics of Impala and Hive
  • Working with Impala and Hive
  • Type of Data Formats
  • Advance HIVE concept and Data File Partitioning
  • Apache Flume and HBase
  • Apache Pig
  • Basics of Apache Spark
  • RDDs in Spark
  • Implementation of Spark Applications
  • Spark Parallel Processing
  • Spark RDD optimization techniques
  • Spark Algorithm
  • Spark SQL

Key Features

Who should attend

  • 24 hours of instructor-led training
  • Course Materials
  • Course Completion Certificate
  • 100% Money Back Guarantee
  • Flexibility to choose classes
  • Post training Support
  • 24 PDUs
  • Self-paced learning content
  • 5 real-life industry projects using Hadoop and Spark
  • Training by certified Hadoop and Spark experts
  • 10% discount on any Online Course
  • Software Developers, Project Managers
  • Software Architects
  • ETL and Data Warehousing Professionals
  • Data Engineers
  • Data Analysts & Business Intelligence Professionals
  • DBAs and DB professionals
  • Senior IT Professionals
  • Testing professionals
  • Mainframe professionals
  • Graduates willing to build a career in Big Data Field