The ‘Prologue to Big Data Analytics and Hadoop’ is a perfect course bundle for people who need to comprehend the essential ideas of Big Data and Hadoop. On finishing this course, participants will have the capacity to decipher what goes behind the preparing of enormous volumes of information as the business changes over from exceeding expectations based examination to an ongoing investigation.
The course concentrates on the fundamentals of Big Data and Hadoop. It additionally gives an outline of the business dispersions of Hadoop and also the segments of the Hadoop environment.
- Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.
- Gartner defines Big Data as high volume, velocity, and variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.
- According to IBM, 80% of data captured today is unstructured, from sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals, to name a few. All of this unstructured data is Big Data.
- Organizations are discovering that important predictions can be made by sorting through and analyzing Big Data.
- Hadoop is the core platform for structuring Big Data and solves the problem of formatting it for subsequent analytics purposes. Hadoop uses a distributed computing architecture consisting of multiple servers using commodity hardware, making it relatively inexpensive to scale and support extremely large data stores.
- However, Hadoop is not without its challenges…
There are no prerequisites required to learn this course,
What will we get after the course?
Certificate of Training, Lifetime Access to LMS & Job assistance
Course Objective Summary
Introduction to Big Data and Hadoop
How Map-Reduce Works
Map Reduce Types and Formats
Understanding the Cluster
Let's talk Map Reduce
Developing the Map Reduce Application
Map Reduce Features
Hive and PIG