Big Data Analyst

In the daily run of business, transactions take place in huge numbers that are not always arranged and sometimes it is not very easy to draw conclusions out of such data. There are many tricks, techniques and skills that when learnt by a person makes data analysis very easy. Such time saving methods can be learnt by joining a data analytics training course.

About the course: The data analytics training course is highly focused on teaching students how breakdown and analyze complex data using pig, HIVE and YARN.

This course teaches students how to use HIVE to analyze, optimize and store data. It teaches students how to use various other softwares that make analysis of complex data very easy and convenient. By the end of this syllabus the students will know process, analyze and interpret complex data very easily.

Prerequisites:

This course requires students to have basic knowledge of handling and categorizing data. Other than that, this course teaches students the fundamental skills needed to breakdown complex data and asks for no experience.

Target Students:

All professionals working in the management firms who have lots of back logs of work left and lack time management. People who usually run late and mostly behind deadlines can also join this course.

Big Data Training Course Outline:

• Module 1: Big Data Basics
• Understanding Hadoop fundamentals
• Introduction to Pig
• Basic data analysis with Pig
• Processing Complex data with Pig
• Multi Dataset operations with Pig
• Module 2: Optimising Data
• Pig troubleshooting and Optimization
• Introduction to Hive and Impala
• Quering with Hive and Impala
• Data Management
• Data Storage and Performance
• Module 3: Analysis of Data
• Relational Data Analysis
• Working with Impala
• Analyzing Complex Data and Text with Hive
• Hive Optimization
• Module 4: Tools for Data Analysis
• Extending Hive
• Choosing the Best Tool for the Job
• Use cases
• Calculate Best possible location
• Analyzing mp3 files