Remove 2007 Remove Big Data Remove Hadoop Remove Programming Language
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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.

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

Data Engineering with Python Data Engineering with Python" equips learners with the skills they need to get started with data engineering using the powerful Python programming language. Acquire first-hand experience in learning Python packages for data processing and analysis.

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

ProjectPro

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? Table of Contents Kafka vs. RabbitMQ - An Overview What is RabbitMQ?

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RocksDB Is Eating the Database World

Rockset

While traditional RDBMS databases served well the data storage and data processing needs of the enterprise world from their commercial inception in the late 1970s until the dotcom era, the large amounts of data processed by the new applications—and the speed at which this data needs to be processed—required a new approach.