Thursday, June 4, 2015

Is Big Data just a Hype, Deep Dive into Big Data

Watch the exclusive recording of Big Data Session conducted By DataFlair





Are you Ready to Migrate your Career in the Latest upcoming Technology Big Data

Understand how Big Data is the Biggest Buzz Word of the Industry

What is Big Data

Big data is a buzzword, or catch-phrase, used to describe a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques.

What leaders say About Big Data:

Big Data is the new Oil
 - Gartner

Hadoop will grow at CAGR of 58%, will reach $50 billion by 2020
 - Experfy

Big Data market will be growing 6 times faster than the overall IT market
 - IDC

Why learn Big Data?

It is no secret that the data content in the world is growing exponentially. For last two decades, IT communities have been grappling with the issue of managing the glut of data. Google has been at the forefront of this problem and came up with a framework which is now widely known as Big Data & Hadoop. This framework fundamentally changes the traditional approaches – which are no longer coping with the volumes of data being generated today.

This video Tutorial covers Following Topics:

 - Why Big Data is biggest Buzz Word
 - Basics of Big Data & Hadoop
 - Essence of Big Data (volume, velocity, variety, veracity of Big Data)
 - Problems with conventional systems like RDBMS and OS file-system
 - Introduction of Hadoop & Hadoop ecosystem
 - Real time Hadoop use cases
 - Future of Hadoop & Careers in Hadoop
 - Job Roles in Hadoop like: Hadoop Analyst, Hadoop Developer, Hadoop Admin, Hadoop Architect etc.
 - How DataFlair will help you in making your career in Big Data.




Are you Ready to Migrate your Career in the Latest upcoming Technology Big Data


Big Data Hadoop Tutorial For Beginners

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.

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.