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Brief History of Data Engineering

Jesse Anderson

Doug Cutting took those papers and created Apache Hadoop in 2005. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL. We lacked a scalable pub/sub system.

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Apache Hadoop turns 10: The Rise and Glory of Hadoop

ProjectPro

It is difficult to believe that the first Hadoop cluster was put into production at Yahoo, 10 years ago, on January 28 th , 2006. Ten years ago nobody was aware that an open source technology, like Apache Hadoop will fire a revolution in the world of big data. Happy Birthday Hadoop With more than 1.7

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Kafka vs RabbitMQ - A Head-to-Head Comparison for 2023

ProjectPro

So, if you want to find the answer to the question - Should I use RabbitMQ vs. Kafka, then we suggest you get an in-depth understanding of the two messaging systems before you decide on a message broker for your next big data project. This fail-safe model comes directly from the world of Big-Data Distributed systems architecture like Hadoop.

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RocksDB Is Eating the Database World

Rockset

During his time at Facebook, in the context of the MyRocks project, a fork of MySQL that replaces InnoDB with RocksDB as MySQL’s storage engine, Mark Callaghan performed extensive and rigorous performance measurements to compare MySQL performance on InnoDB vs on RocksDB. RocksDB offers a key-value API, available for C++, C and Java.