Big data analysis technology
Some of the exemplary use cases are as follows: Business users are able to make a precise analysis of the data and the key early indicators from this analysis can mean fortunes for the business. Big data analytics is the process of examining this large amount of different data types, or big data, in an effort to uncover hidden patterns, unknown correlations and other useful information.īig data analysis allows market analysts, researchers and business users to develop deep insights from the available data, resulting in numerous business advantages.
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With the advancements of these different data analysis technologies to analyze the big data, there are many different school of thoughts about which Hadoop data analysis technology should be used when and which could be efficient.Ī well-executed big data analysis provides the possibility to uncover hidden markets, discover unfulfilled customer demands and cost reduction opportunities and drive game-changing, significant improvements in everything from telecommunication efficiencies and surgical or medical treatments, to social media campaigns and related digital marketing promotions.īig data is mostly generated from social media websites, sensors, devices, video/audio, networks, log files and web, and much of it is generated in real time and on a very large scale. While Hadoop provides the ability to store this large scale data on HDFS (Hadoop Distributed File System), there are multiple solutions available in the market for analyzing this huge data like MapReduce, Pig and Hive. Hadoop is undoubtedly the preferred choice for such a requirement due to its key characteristics of being reliable, flexible, economical, and a scalable solution. from all different sources, there is a huge demand to efficiently store, process and analyze this large amount of data to make it usable.
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Since data is being generated in very huge volumes with great velocity in all multi-structured formats like images, videos, weblogs, sensor data, etc. With rapid innovations, frequent evolutions of technologies and a rapidly growing internet population, systems and enterprises are generating huge amounts of data to the tune of terabytes and even petabytes of information.