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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. Some people blamed the technologies.

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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

Hadoop 40
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Evolution of the Cloud Data Platform: From Google to Ascend

Ascend.io

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. Becoming subconsciously data-first In 2007, my two colleagues and I left Google and started Ooyala.

Cloud 52
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Evolution of the Cloud Data Platform: From Google to Ascend

Ascend.io

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. Becoming subconsciously data-first In 2007, my two colleagues and I left Google and started Ooyala.

Cloud 52
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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

The Dawn of Telco Big Data: 2007-2012. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. Let’s examine how we got here.

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Analytics-on-the-fly: from batch to real-time user engagement

Rockset

It was the winter of 2007 when I logged into my newly created Facebook account for the very first time and I was amazed to see Facebook immediately show me three of my friends with whom I had lost touch since elementary school. Then things started to become more real-time.

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Hands-On Introduction to Delta Lake with (py)Spark

Towards Data Science

Data architecture is the set of practices, technologies, and services that meet the data demand of a given organization, both technical (speed, volume, frequency, availability) and non-technical (business rules, compliance with data legislation) needs. The proposal is simple — “Trow everything you have here inside and worry later”.