Jesse Anderson
DECEMBER 12, 2022
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.
Ascend.io
FEBRUARY 15, 2023
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.
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Ascend.io
FEBRUARY 15, 2023
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.
Cloudera
SEPTEMBER 24, 2021
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.
Rockset
AUGUST 11, 2020
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.
Knowledge Hut
JUNE 30, 2023
It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. Author Name: Vincent Rainardi Year of Release: 2007 Goodreads Rating: 3.89/5 Key Benefits and Takeaways: Learn the core concepts of big data systems.
Rockset
AUGUST 10, 2020
Traditional BI had its Renaissance moments with the advent of Big Data technologies such as Hadoop, and then cloud data lakes and warehouses have brought everyone to the Modern era. I saw this happen first hand at facebook from 2007 to 2015.
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