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Why Learn Big Data Analytics?

Big Data analytics is the process of gathering, managing, and analyzing large sets of data (Big Data) to uncover patterns and other useful information.  These patterns are a minefield of information and analysing them provide several insights that can be used by organizations to make business decisions. This analysis is essential for large organizations like Facebook who manage over a billion users every day, and use the data collected to help provide a better user experience.  

Similarly, LinkedIn provides its users with millions of personalized suggestions on a regular basis. LinkedIn does it with the help of components like HDFS features and MapReduce in Big Data Analytics. Big Data has thus become an indispensable part of technology and our lives; and big data analyses provides solutions that are quick and require reduced effort to generate. It is no wonder then that big data has spread like wild fire and so have the solutions for its analyses.

According to a recent McKinsey report the demand for ‘Big Data’ professionals could outpace the supply by 50 to 60 percent in the coming years, and U.S.-based companies will be looking to hire over 1.5 million managers and big data analysts with expertise on how big data can be applied. Big Data investments have also sky rocketed, with several top profile companies spending their resources on Big Data related research and hiring big data analysts to change their technology landscape.

An IBM listing states that the demand for data science and analytics is expected to grow from 3,64,000 to nearly 27,20,000 by 2020. According to a recent study done by Forrester, companies only analyze about 12% of the data at their disposal. 88% of the data is ignored, mainly due to the lack of analytics and repressive data silos. Imagine the market share of big data if all companies start analysing 100% of the data available to them. Hence the conclusion is that there is no time like now to start investing in a career in big data. It is paramount that developers upskill themselves with analytical skills and get ready to take a share of the big data career pie.

Benefits

Big data analytics certification is growing in demand and is most relevant in data science today than in other fields. The field of data analytics is new and there are not enough professionals with the right skills. Hence, the credibility of big data analytics certification promises many growth opportunities for organizations as well as individuals in the booming field of data science.

Many big companies like Google, Apple, Adobe, and so on are investing in Big Data. Let’s take a look at the benefits of Big Data that organizations and individuals are experiencing:

Benefits for Individuals
Benefits for Organizations

WHAT YOU WILL LEARN

1. Understand the Fundamentals

Learn the basics of Apache Hadoop & data ETL, ingestion, and processing with Hadoop tools.

2. Learn Pig framework

Understand how to join multiple data sets and analyze disparate data with the Pig framework.

3. Understand the Hive framework

How to organize data into tables, perform transformations, and simplify complex queries with Hive.

4. Perform Real-time analysis

How to perform real-time interactive analyses on huge data sets stored in HDFS using SQL with Impala.

5. Choose the best tool

How to pick the best tool in Hadoop, achieve interoperability, and manage repetitive workflows.

5. Choose the best tool

How to pick the best tool in Hadoop, achieve interoperability, and manage repetitive workflows.

1. Understand the Fundamentals

Learn the basics of Apache Hadoop & data ETL, ingestion, and processing with Hadoop tools.

2. Learn Pig framework

Understand how to join multiple data sets and analyze disparate data with the Pig framework.

3. Understand the Hive framework

How to organize data into tables, perform transformations, and simplify complex queries with Hive.

4. Perform Real-time analysis

How to perform real-time interactive analyses on huge data sets stored in HDFS using SQL with Impala.

5. Choose the best tool

How to pick the best tool in Hadoop, achieve interoperability, and manage repetitive workflows.

1. Understand the Fundamentals

Learn the basics of Apache Hadoop & data ETL, ingestion, and processing with Hadoop tools.

Prerequisites

There are no specific prerequisites required to learn Big Data.