big data basic

Course Features

Skill level:

Beginner

Duration:

 3 Months

Projects:

 Yes

Practical Ratio:

 30 : 70

Assessments:

 Yes

Quizzes:

 Yes

Course Details

This course is designed to equip participants with the much-needed skills sets to gain momentum in the field of the Big Data. It will be a mix of classroom lectures & hands-on practical session on Cloudera Hadoop distribution covering development frameworks of Big Data that includes Map Reduce, HDFS, ApacheHive, ApacheSqoop, Impala, Pig etc. The course will cover detailed explanation of each frameworks including self-assessments & industry use cases. The course would give you a steep edge in the Analytics world with a lot of career opportunities

Prerequisite

Language: Basic knowledge of SQL & Unix commands & knowledge of any programming language.

Course Outcome

At the end of the course, you should be able to :

  • Perform Data Analytics on Big Data sets
  • Import Data from RDBMS to HDFS
  • Equip with basics of Hadoop Framework like Hive ,Pig, Map Reduce
  • Ability to clear Big Data Certifications – CCA 159.
  • Create Hive Tables to store data in HDFS.

Curriculum

  • What is Big Data
  • History of Big Data
  • Hadoop & its Features
  • Introduction to MapReduce
  • Combiner & Partitioner
  • Hadoop 2.0 MapReduce Architecture
  • Yarn
  • HDFS
  • Introduction to hive
  • Hive Architecture & Components
  • Hive Data Types & Data Models
  • Hive File Formats
  • Partitions & Buckets,
  • Hive Tables (Managed Tables & External Tables),
  • Importing Data Querying Data
  • Querying Data
  • Hive Joins
  • Hive vs Impala
  • Introduction to Pig
  • Map Reduce vs Pig
  • Map Reduce vs Pig
  • Pig Data Types
  • Pig components
  • Sqoop
  • Sqoop Import
  • Sqoop Emport