Big Data investments have also skyrocketed, with several top-profile companies spending their resources on Big Data-related research and hiring big data analysts to change their technology landscape.
DurationBig Data analytics is the process of gathering, managing, and analyzing large sets of data to uncover patterns and other useful information. These patterns are a minefield of information, and analysing them provides several insights that can be used by organizations to make business decisions.
This analysis is essential for large organizations like Facebook, which manage over a billion users every day and use the collected data 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 analysis provides solutions that are quick and require reduced effort to generate. It is no wonder then that big data has spread like wildfire 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 skyrocketed, 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 started 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 more 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.
An individual with Big Data analytics skills can make decisions more effectively
Based on the IBM survey, the Big Data analytics job market is expected to grow by 15% in the year 2020
According to Glassdoor, Big Data Engineers are earning an average of $116,591 per year.
An individual with Big Data skills can earn a better salary, have better career growth, and have more chances of getting hired by top companies
Big Data allows organizations to understand consumer needs and make informed decisions
Big data tools can identify efficient ways of doing business through sentiment analysis
Businesses can get ahead of the competition by better understanding market conditions
With big data analytics, organizations understand ongoing trends and develop products accordingly.
Understand the Fundamentals
Learn the basics of Apache Hadoop and data ETL, ingestion, and processing with Hadoop tools.
Learn Pig framework
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Understand the Hive framework
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Perform Real-time analysis
How to perform real-time interactive analyses on huge data sets stored in HDFS using SQL with Impala.
Choose the best tool
How to pick the best tool in Hadoop, achieve interoperability, and manage repetitive workflows.
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