Security Testing Training
Big Data Hadoop | Cyber Security Service | Secure Application

Big Data Hadoop Training

Master the skills of programming large data using Hadoop, Hive, Pig, etc. Learn & Master Hadoop & Hadoop ecosystem like MapReduce, Yarn, Flume, Oozie, Impala, Zookeper through ourBig Data Training.

Key Features

  • This is a combo course which contains 4 courses of Hadoop:
    1. Hadoop Developer Training
    2. Hadoop Analyst Training
    3. Hadoop Administration Training
    4. Hadoop Testing Training
  • 90 hours of Lab Exercises
  • Secure Application Proprietary VM for Lifetime and free cloud access for 6 months for performing exercises.
  • 70% of extensive learning through Hands-on exercises , Project Work , Assignments and Quizzes
  • The training will prepare you for Cloudera Big Data Hadoop Certification: CCA Spark and Hadoop Developer, CCAH as well as learners can learn how to work with Hortonworks and MapR Distributions
  • Guidance to Resume Preparation and Job Assistance
  • Step -by- step Installation of Software
  • Course Completion Certificate from Secure Application

About Hadoop Training Course

It is an all-in-one Big Data and Hadoop course designed to give a 360-degree overview of Apache Hadoop Architecture and its implementation on real-time projects. The major topics of Big Data Certification training include Hadoop and its Ecosystem, Apache Hadoop Architecture, core concepts of Hadoop MapReduce and HDFS (Hadoop File system), Introduction to HBase Architecture, Hadoop Cluster Setup, Apache Hadoop Administration and Maintenance. The course further includes advanced modules like Flume, Oozie, Impala, Zookeeper, Hue, Hbase and Spark.

Learning Objectives

After completion of this bigdata and Hadoop training, you will be able to:

  • Gain in-depth understanding of Big Data and Hadoop concepts
  • Excel in the concepts of Hadoop big data architecture and Hadoop Distributed File System (HDFS)
  • Implement HBase and MapReduce Integration
  • Understand Apache Hadoop 2.7 Framework and Architecture
  • Design and develop applications of big data using Hadoop Ecosystem
  • Set up Hadoop infrastructure with single and multi-node clusters using Amazon ec2 (CDH4)
  • Deal with Hadoop component failures and discoveries
  • Learn to write complex Hadoop MapReduce programs in both MRv1 and Mrv2
  • Learn ETL connectivity with Hadoop big data, ETL tools, real-time case studies
  • Learn advanced big data technologies, write Hive and Apache Pig Scripts and work with Sqoop
  • Perform bigdata and analytics using Yarn
  • Monitor a Hadoop cluster and execute routine administration procedures
  • Schedule jobs through Oozie
  • Master Impala to work on real-time queries on Hadoop
  • Deal with Hadoop component failures and discoveries
  • Optimize Hadoop cluster for the best performance based on specific job requirements
  • Learn to work with complex, big data analytics tools in real-world applications and make use of Hadoop file System (like Google File System (GFS)
  • Derive insight into the field of Data Science and advanced data analytics
  • Gain insights into real-time processes happening in several big data companies
  • Work on a real-time project on Big Data Analytics and gain hands-on Big Data and Hadoop Project Experience
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