Big Data has become a new buzz word today. Businesses are actively using real time data of millions ofconsumers to get actionable insightsinto customer’s behavior to provide them the personalized services. Big data help businesses to leverage data to enhance the overall efficiency of their business. This allows businesses to improve the engagement and retentionof their customers with their business.
Big Data can process huge volumes of data that cannot be managed with traditional database technologies. Due to the specific nature of big data, it is stored in a distributed file system architecture, which is easy to scale and effectively process and store massive amount of data.
Apache Hadoop holds a primary position in Big Data universe and is considered one of the best frameworks to implement Big Data because it is a fundamental general purpose platform for Big Data. It is open source and allows you to quicklyprocess and store huge amount of data.
It possesses the capabilities of an operating system, data platform and an application platform. It has a file system of its own and has its own fundamental capability to handle applications and control the resources that are used by those applications. In addition, uses YARN (Yet Another Resource Manager), which is a cluster management technology.
Some of the other characteristics, which makes Hadoop the best framework for Big Data implementation are:
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