Big Data Analytics and Courses

Big data is data sets that are so voluminous and complex that traditional data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, Data Analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are five dimensions to big data known as Volume, Variety, Velocity and the recently added Veracity and Value.

Big Data Hadoop

Analytics is the discovery, interpretation, and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. In the industry of commercial analytics software, an emphasis has emerged on solving the challenges of analyzing massive, complex data sets, often when such data is in a constant state of change. Such data sets are commonly referred to as big data.

In analytics, Technogeeks Provides Hadoop Big data with spark + NO SQL Database like H-BASE. The course which Technogeeks offers is totally practically oriented will provide you 2 live projects and 5 pocs . The components which Technogeeks covers is like a pig, hive, hue, HDFS, flume,sqoop, yarn, oozie, MapReduce, and spark. All the trainers are IT Professionals. Technogeeks provides placement assistance and a lot of job opportunities, provides an experience of real-time scenarios.

In analytics Technogeeks offers Data Science by Spark and Scala, By python, By statistics, R programming language. Lot of things Technogeeks offers in that program like 2 live projects, 5 POCs, Resume preparation, Interview mock session, Job openings, Certification assistance.

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R programming language is an awesome programming language for data analysts, especially for people just started in IT. Studying Data Analytics is very beneficial for present and for future as well.Studying Data Analytics can open a wider world for you no matter what your role is. A basic understanding of it allows you to see the bigger picture and predict issues, trends, and habits- and these skills can enhance any organization. Telecom, Retail, Healthcare, Insurance, Automotive, Commerce, Banks, Sports, Pharma, Manufacturing, Mobile world every industry needs Data analytics engineer or Data Scientist. A market is quite good in India or in abroad as well.