Big Data and Hadoop Training Course
Get future-ready, understand how to harness the power locked in Big Data using Hadoop
- Get a deeper knowledge of various Big Data frameworks
- Hands-on learning on Big data Analytics with Hadoop
- Projects related to banking, governmental sectors, e-commerce websites, etc
- Learn to extract information with Hadoop MapReduce using HDFS, Pig, Hive, etc.
- Upgrade your career in the field of Big data
- Get Free E-learning Access to 100+ courses
Overview
DEMAND FOR ANALYZING BIG DATA WITH HADOOP
At the crux of data analysis is the ability to decipher raw data, process it and arrive at meaningful and actionable insights that can shape business strategies. According to the latest research, nearly 2.5 quintillion bytes of data is created every day, and the number is slowly edging upwards. The storage and processing power needed to handle these large volumes of data cannot be handled in an efficient manner with traditional frameworks and platforms. So, there arose a need to explore distributed storages and parallel processing operations in order to understand and make sense of these large volumes of data or big data. Hadoop by Apache provides the much-needed power that is required to manage such situations to handle Big Data. Based on data produced by Wanted analytics it was found out that the top five industries hiring Big Data related expertise include Professional, Scientific and Technical Services (25%), Information Technology (17%), Manufacturing (15%), Finance and Insurance (9%) and Retail Trade (8%).
Simply put, big data would be the problem and Hadoop would be one of the solutions leveraged to make sense of it. With the inclusion of a much needed HDFS component, the distributed storage problem is taken care of while the MapReduce component optimizes parallel data processing. According to Gartner data, nearly 26% of the analysts are leveraging Hadoop in their daily tasks which makes it imperative to learn the platform and stay ahead of the curve. In addition to its ability to handle concurrent tasks, Hadoop is scalable and cost-effective as well, making the lives of analysts much easier than before.
Benefits of earning Hadoop skills in Big Data Analysis
With most businesses facing a data deluge, the Hadoop platform helps in processing these large volumes of data in a rapid manner, thereby offering numerous benefits at both the organization and individual level.
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