Why learn Big Data Hadoop?
We create 2.5 quintillion bytes of data every day. So much that 90% of the data in the world today has been created in the last two years alone (Source: IBM). These extremely large datasets are hard to deal with using legacy systems such as RDBMS as data exceed the storage and processing capacity of database. The legacy systems are becoming obsolete.
According to Gartner: “Big Data is new Oil”. Big Data is all about finding the needle of value in a haystack of Structured, Semi-structured and Un-structured data. Hadoop (the Solution of All Big Data Problems) has become the most important component in the data stack, which enables rapid processing of data at petabyte scale. Hadoop is expected to be at the core of more than half of all analytics software within the next two years.
According to Gartner: “Big Data is new Oil”. Big Data is all about finding the needle of value in a haystack of Structured, Semi-structured and Un-structured data. Hadoop (the Solution of All Big Data Problems) has become the most important component in the data stack, which enables rapid processing of data at petabyte scale. Hadoop is expected to be at the core of more than half of all analytics software within the next two years.
Watch the exclusive recording of Big Data Live Session
In this tutorial, you will be gaining knowledge on:
- Basics of Big Data & Hadoop
- Introduction to Big Data
- Why Big Data
- Essence of Big Data-volume, velocity, variety, veracity
- Problems with conventional systems like RDBMS and OS file-system
- Introduction of Hadoop
- Introduction of Map-Reduce and HDFS
- Real time Hadoop use cases
- Introduction of Hadoop ecosystem
- Future of Hadoop
- Careers in Hadoop
- Job Roles in Hadoop like: Hadoop Analyst, Hadoop Developer, Hadoop Admin, etc.
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