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
Understand how to join multiple data sets and analyze disparate data with the Pig framework.
Understand the Hive framework
How to organize data into tables, perform transformations, and simplify complex queries with Hive.
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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Complement your strengths, work on your grey areas, and achieve and sustain industry leadership in your business in a short span of time! Allow us to empower you with learning and development solutions delivered using world class, globally recognized training methodology.
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Our purpose is to empower human capital through industry-accredited, nationally and internationally recognized courses to close the skill gap. We build value for professionals through our top trainers, current and on-demand content, certification through accredited bodies, localised delivery, and a robust technology platform.
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This is a knowledge-packed professional learning experience that includes a cutting-edge curriculum, real business projects and case studies, and tech-enabled education. Our training goes a long way towards helping you unlock lucrative career opportunities in the coveted fields of data analytics.
Big Data training gives both IT professionals and organizations a competitive advantage. With hands-on big data training from New Horizons Toronto, you can jumpstart your career or amplify your team’s capabilities.
This course is a survey of big data – the landscape, the technology behind it, business drivers and strategic possibilities. “Big data” is a hot buzzword, but most organizations are struggling to put it to practical use.
The big data course teaches aspiring data engineers how to scale ETL pipelines using Spark in the Azure cloud. According to the job market report published by WeCloudData, engineers with big data skills earn higher average salary.
If you are looking for a quick way to become a data analyst, look no further. This program will provide you with the skills and hands-on training you need to start a rewarding career in the data analytics industry.
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