March 06, 2020

Is It the Death of Hadoop?

Big Data had gone through several transformations through the years, growing into the phrase we identify it as today. From its first identified use on the back of Hadoop and MapReduce, a new age of Big Data has been ushered in with the spread of new technologies such as Kubernetes, Spark, and NoSQL databases.


These might not serve the exact same purpose as Hadoop individually, but they fill the same niche and do the same job with features the original platform designers never envisioned.

The multi-cloud architecture boom and increasing emphasis on real-time data may just mean the end of Big Data as we know it, and Hadoop with it.

A brief history of Big Data

The use of data for making business decisions can be traced back to ancient civilizations in Mesopotamia. However, the age of Big Data as we know it is only as old as 2005 when O’Reilly Media launched the phrase. It was used to describe the massive amounts of data that the world was beginning to produce on the internet.

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