Big Data and Hadoop for Beginners - with Hands-on!

BY
Udemy

Learn the fundamentals and considerations involved with big data using Hadoop, HDFS, and other tools.

Lavel

Beginner

Mode

Online

Fees

₹ 449 1999

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Hadoop is a free and open-source framework. Apache provides it to analyze and visualize huge amounts of data. Hadoop is implemented in Java and is presently used by companies like Facebook, Google, LinkedIn, and Twitter. Big Data and Hadoop for Beginners - with Hands-on Certification is a course developed by Andalib Ansari - Big Data Architect and made available by Udemy for learners who want to learn the fundamental and advanced concepts of big data and Hadoop.

Big Data and Hadoop for Beginners - with Hands-on online training is a 3-hour program that includes 2 articles and 7 downloadable resources to help learners comprehend the intricate architecture of Hadoop and its components, as well as guide them in the correct direction to begin working with Hadoop and its elements. Big Data and Hadoop for Beginners - with Hands-on online course covers big data analytics, HDFS, data pipelines, sample queries, data lakes, data sets, Hive, and Pig, as well as provides an understanding of the big data market, job roles, technology trends, Hadoop history, and Hadoop ecosystem.

The highlights

  • Certificate of completion
  • Self-paced course
  • 3 hours of pre-recorded video content
  • 2 articles
  • 7 downloadable resources

Program offerings

  • Online course
  • Learning resources
  • 30-day money-back guarantee
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 449  ₹1,999
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of big data

After completing the Big Data and Hadoop for Beginners - with Hands-on online certification, learners will master the fundamentals of Hadoop and big data for big data analytics. Learners will explore various technology trends, salary trends, principles of the big data market, and different job roles in big data. In this Hadoop course, learners will study concepts involved with modern data architecture like data lake as well as will acquire knowledge of the strategies involved with data sets, data pipelines, scripts, and sample queries. In this Hadoop certification, learners will also study methodologies involved with HDFS, Pig, MapReduce, and Hive.

The syllabus

Welcome to the Course

  • Welcome to the Course

Big Data at a Glance

  • Introduction to Big Data
  • Job Roles in Big Data
  • Salary Analysis
  • Technology Trends in the Market
  • Advice for Big Data Beginners

Getting Started with Hadoop

  • Introduction to Hadoop
  • Hadoop Ecosystem
  • Hadoop 1.x vs Hadoop 2.x
  • ETL vs ELT
  • Different Hadoop Vendors
  • Hadoop Installation
  • Managing HDFS from Command Line
  • Hadoop on Cloud

Getting Started with Hive

  • Introduction to Hive
  • Hive Architecture
  • Hive Data Model
  • File Formats in Hive (Text, Parquet, RCFile, ORC)
  • SQL vs HQL
  • UDF & UDAF in Hive
  • Hive Demo

Getting Started with Pig

  • Introduction to Pig
  • Pig Architecture
  • Pig Data Model
  • How Pig Latin Works
  • SQL vs PIG
  • UDF in Pig
  • Pig Demo

Use Cases

  • Designing Data Pipeline using Pig and Hive
  • Data Lake

Practice

  • Practice-1: Analyzing Taxi Trips Data
  • Practice-2: Designing Hive UDF

Instructors

Mr Andalib Ansari
Big Data Architect
Freelancer

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