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BigData Hadoop Training

Tekslate · Live Oak, TX · Today
Human ResourcesInternship

Course Overview

Take your career to the next level by becoming a skilled CCA Spark and Hadoop Developer. This can happen by enrolling into Tekslate’s Big Data Hadoop training, where you will become an expert in working with Big Data and Hadoop ecosystem tools such as YARN, MapReduce, HDFS, Hive, Pig, HBase, Spark, Flume, Sqoop, etc., through practical executions and real-time examples. Our training is designed by industry-expert trainers according to latest developments of Hadoop and learning them is essential for clearing the CCA Spark and Hadoop Developer (CCA175) Exam.

Course Highlights

  • 30 Hrs Instructor Led Training
  • Self-paced Videos
  • 20 Hrs Project & Exercises
  • Certification
  • Job Assistance
  • Flexible Schedule
  • Lifetime Free Upgrade
  • Mentor Support

Training Options

Self Paced Learning: 15 Hrs of Pre-recorded videos e-learning content, Life-time LMS Access, 100% Practical Approach, Labs and Practicals included, Watch & Learn at your own pace.

Online Classroom: 30 Hrs of Instructor-Led Live Training, Doubts solving with Trainers.

Course Content

  • Hadoop Installation And Setup
  • Introduction to Big Data Hadoop and Understanding HDFS and MapReduce
  • Deep Dive in MapReduce
  • Introduction to Hive
  • Advanced Hive and Impala

Projects

Course practical oriented projects and use-cases will help you experience how the skills learned will solve real-time problems. At least two projects. Assisted lab setup to practice skills.

Certification

Upon completion of the training you'll be provided a course completion certificate which adds weightage to your resume and increases your chances of getting hired. Benefits include Certification Assistance and Certification Sample Questions.

Course Objectives

  • Master the fundamentals of Hadoop and Big Data and its features.
  • Gain knowledge on how to use HDFS, and MapReduce frameworks.
  • Gain knowledge of various tools of Hadoop ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase.
  • Work with Pig and Hive to perform ETL operations and data analytics.
  • Perform Partitioning, Bucketing, and Indexing in Hive.
  • Understand Apache Spark and its Ecosystem.
  • Implement real-world Big Data Analytics projects in various verticals.

Who Should Attend

  • Software Developers and Architects
  • Analytics Professionals
  • Senior IT professionals
  • Testing and Mainframe Professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Aspirants who are looking to build a career in Big Data analytics.

Prerequisites

There are no specific prerequisites for learning this course. Anyone who is looking to build a career in this domain can join this training. Having prior knowledge of Core Java, and SQL will be helpful but not mandatory.

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