About Big Data and Hadoop –
Big data means really a big data, it is a collection of large datasets that cannot be processed using traditional computing techniques. Hadoop comes handy when we deal with such an enormous amount of data. It gives us the capability to deal with the complexities of high volume, velocity, and variety of data.
This course will help you understand what goes behind the processing of huge volumes of data as the industry switches over from Excel-based analytics to real-time analytics. This course will also cover the different tools like Pig, Scoop, HDFS, Hive, Spark, Map Reduce etc in order to understand the technical architecture behind Big Data processing.
Why learn Big Data and Hadoop
With the multiple times of Data growth in these modern days, Big Data and Hadoop is the buzz word to handle the same. There is a huge shortage of these skills in market and industry is keenly looking for such professionals that are trained and certified in this skill.
Who should take this course
This course is designed for CXO’s, data analysts, business intelligence specialists, developers, system architects, database administrators and any other who wants to know about Big Data. Prior technical knowledge is not mandatory.
About the Instructor
The instructor is a certified Big Data Hadoop Developer who has worked on multiple real-time Hadoop projects.
Course Objectives –
This is a hands-on course and covers the following topics –
Essentials of Big Data and why it’s being used for everything Data.
Introduction to Hadoop and its architecture.
Joining multiple data sets and analyzing disparate data with Pig.
Data Storage using HDFS.
Organizing data into tables, performing transformations, and simplifying complex queries with Hive.
Map Reduce and Real-time use cases of it.
Basics of Spark.
Use cases and Industry-wide adoption.
Are you ready? Let’s get started!