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Hadoop and data analytics

 

Hadoop and data analytics

Do you need to store massive amounts of data? Then you need a software framework capable of functioning as a big data warehouse and possessing enormous processing powers. Enter Hadoop and its data analytics and data warehouse capacity. Hadoop is the perfect data warehouse but it is so much more. Hadoop and data analytics are perfectly suited for each other as Hadoop crunches big data like there is no tomorrow, being capable of handling virtually limitless number of tasks or jobs simultaneously.

 

Moreover, Hadoop data analytics are protected against hardware failure. If one Hadoop data analytics node goes down, jobs are automatically shifted to other Hadoop data analytics nodes to ensure that the distributed computing does not fail. Multiple copies of all data are automatically stored in the Hadoop data warehouse.

 

Hadoop and data warehouse

 

In the early days of the internet search engines and indexes became a necessity to help locate relevant information via text based searches. Incredibly, in these early days humans returned the search results. But that was obviously no long term solution for a web expanding from a few dozen academic connections to millions of pages. Automation was needed and search engines capable of handling big data became the dominant feature of the world wide web.

 

The Hadoop data analytics engine is the stepchild of one of these search engines, an open source engine called Nutch. Nutch was a contemporary of Google and never really took off, but the distributed computing and processing portion of the project, the big data processor Hadoop, was developed independently. In 2008, Yahoo  released the Hadoop data analytics engine as freeware.

 

It’s greatest advantage? That unlike other relational databases the Hadoop data warehouse does not require you to preprocess data before storing it. The Hadoop data warehouse can store as much data as you need and you can process it with Hadoop’s data analytics later on whenever is convenient.  

Big data Hadoop

Hadoop has unparalleled data analytics capabilities, being capable of storing and processing huge amounts of data, rapidly. The computing model processes of the Hadoop big data warehouse processes big data superfast. In fact, the more Hadoop data analytics computing you use, the more processing power you have.

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