Intro To Big Data And Hadoop

Instructor-led training in Intro To Big Data And Hadoop. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.

beginner
16–24 hours Live online (VILT) beginner
Live online (VILT)
Hands-on labs
Assignments & projects
Completion certificate

Overview

This course provides a comprehensive introduction to Big Data concepts and the Hadoop ecosystem, highlighting their significance in today's data-driven world. You'll explore how organizations leverage Big Data technologies to gain insights and improve decision-making.

What you'll learn

  • You will be able to define Big Data and its characteristics.
  • You will be able to explain the components of the Hadoop ecosystem.
  • You will be able to set up a basic Hadoop environment.
  • You will be able to perform data storage and processing using HDFS and MapReduce.
  • You will be able to utilize tools like Hive and Pig for data analysis.
  • You will be able to understand the importance of data governance and security in Big Data.

Curriculum

7 modules · outline is indicative and can be tailored to your team.

1Introduction to Big Data
  • What is Big Data?
  • Characteristics of Big Data
  • The importance of Big Data in business
2Overview of the Hadoop Ecosystem
  • Introduction to Hadoop
  • Components of Hadoop: HDFS, MapReduce, YARN
  • Hadoop vs. Traditional Data Processing
3Setting Up Hadoop
  • Installing Hadoop
  • Configuring Hadoop Environment
  • Running a sample Hadoop application
4Data Storage and Processing with HDFS
  • Understanding HDFS architecture
  • Data replication and fault tolerance
  • Basic HDFS commands
5MapReduce Fundamentals
  • Understanding the MapReduce framework
  • Writing your first MapReduce program
  • Debugging MapReduce applications
6Data Analysis with Hive and Pig
  • Introduction to Hive and its architecture
  • Writing HiveQL queries
  • Overview of Apache Pig and its scripting language
7Data Governance and Security
  • Understanding data governance principles
  • Security challenges in Big Data
  • Best practices for securing Hadoop environments

Prerequisites

No prior experience required.

Who should attend

This course is ideal for beginners looking to understand Big Data and Hadoop fundamentals.

Certification

On completing this course you receive a Skilvi course-completion certificate.

Frequently asked questions

What is the delivery format of the course?

The course is delivered live online, allowing for real-time interaction with the instructor.

How long is the course?

The course typically spans over 4 weeks, with weekly sessions lasting 2 hours each.

Will I receive a certificate upon completion?

Yes, participants will receive an Skilvi course-completion certificate.

Are exam vouchers included?

Exam vouchers are available through authorized channels on request.

What are the prerequisites for this course?

No prior experience required.

Intro To Big Data And Hadoop

Pricing on request

  • Live online (VILT)
  • 16–24 hours
  • Hands-on labs & assignments
  • Skilvi completion certificate