Data Engineering Data Engineering

Data Engineering

Data Engineering

Course Provider

Data Engineering

Course Highlights:

  • Fundamental and practical knowledge of Hadoop architecture and HDFS.
  • Joint co-branded participation certificate by FutureSkills Prime & Jigsaw Manipal
  • How to store, analyze and get insight from the huge volume of data, how Hadoop distributed file storage works, various components of Hadoop
  • MongoDB terminologies, Architecture, Key features, and Indexing
  • Schema design
  • Challenges with RDBMS
  • Types of NoSQL database
  • Certificate by Jigsaw Manipal on course completion
  • Joint co-branded participation certificate by FutureSkills Prime & Jigsaw Manipal
  • Eligible for GOVT. OF INDIA Incentives
  • Job Roles:
    • Data Engineer

What will you learn in Data Engineering course?

In this course, you will learn the data storage type, different types of data, various analytical methods using a variety of tools, data warehousing, data manipulation, Hadoop for Big Data, HDFS, MapReduce program to process the data which gives a clear understanding of Big Data Engineering.

Data Engineering

  • skill-type-icon Skill Type
    Emerging Tech
  • domain-icon Domain
    Big Data Analytics
  • course-category-icon Course Category
    Deepskilling Course
  • certified-earned-icon Certificate Earned Joint Co-Branded Participation Certificate
  • course-covered-icon Course Covered under GoI Incentive
    Yes
    • cost-white-icon Course Price
      INR 12,000
      + 18% GST
    • duration-white-icon Course Duration
      36 Hours
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Why you should take Data Engineering course?

  • Introduction to Big Data technologies
  • Challenges in the real-world data
  • How to store, analyze and get insight from the huge volume of data
  • How Hadoop distributed file storage works
  • Various components of Hadoop
  • MongoDB terminologies
  • Architecture
  • Key features and Indexing
  • Schema design
  • Challenges with RDBMS
  • Types of NoSQL database
  • Get introduced to Spark concepts and set up the environment
  • A good understanding of RDD and working knowledge of RDD operations
  • Participants will have an overview of Spark architecture
  • Concepts of performance tuning
  • Job submission and Job management

Who should take Data Engineering course?

All IT people who want to switch to data Engineering

Curriculum

  • Hadoop - History Architecture
  • Hadoop Components HDFS Architecture
  • HDFS Operations
  • Hands-on Exercises on Jigsaw Lab
  • MapReduce Concept
  • MapReduce Architecture, YARN MapReduce Internals Hands-on Exercises, Introduction to Spark and Set up, Spark Ecosystem and Abstractions, Programming in Scala, Sark Properties & Use Cases, Basics of RDD Operations
  • Transformations in RDD
  • Actions in RDD
  • Advanced RDD Operations RDD Persistence, Overview of Shared Variables - Accumulators, Job Submission & Execution, Performance Tuning, Job Scheduling and Management

Tools you will learn in Data Engineering course

  • Big data
  • Hadoop
  • Data analytics
  • Data engineers
  • Hive
  • SQL
  • Data
  • HDFS
  • MapReduce
  • YARN
  • HBase
  • Sqoop
  • NoSQL
  • Big data developer
  • Data engineering
  • Datatypes
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