30 Hours of Live Instructor-Led Training
24 Hours of Hands-On Big Data Practice
Complete 3 Projects in Real-World Sectors
Learn Hadoop, MapReduce, HDFS, Pig, and Hive
80 Hours of MCQs and Assignments for Mastery
Free Access to 100+ E-Learning Courses
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 are 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 storage 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 to manage such situations and handle big data. Based on data produced by Wanted analytics it was found 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.
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 organizational and individual levels.
Undergoing training in Hadoop and big data is quite advantageous to the individual in this data-driven world:
Training in Big Data and Hadoop has certain organizational benefits as well:
Given the ease with which it allows you to make sense of huge volumes of data and leverage frameworks to transform the same into actionable insights, training and certification courses for Hadoop & Big Data are in great demand in the field of data science.