article thumbnail

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.

article thumbnail

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
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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
article thumbnail

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
article thumbnail

Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

The Dawn of Telco Big Data: 2007-2012. At the same time, centralised big data functions increasingly invested in Hadoop based architectures, in part to move away from proprietary and expensive software, but also in part to engage with what was emerging as a horizontal industry standard technology. Let’s examine how we got here.

article thumbnail

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.

Hadoop 52
article thumbnail

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

Towards Data Science

The main player in the context of the first data lakes was Hadoop, a distributed file system, with MapReduce, a processing paradigm built over the idea of minimal data movement and high parallelism. The proposal is simple — “Trow everything you have here inside and worry later”. The implementation 0.