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Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘datawarehouse’. Created as on-premise servers, the early datawarehouses were built to perform on just a gigabyte scale. Bigdata and data warehousing.
2006: Amazon spearheads the cloud initiative, drops EC2 and S3 into the market. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. Hadoop was developed in 2006. Fact: IBM built the world’s first datawarehouse in the 1980’s.
It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, BigData, Cloud). Most of the data management moved to back-end servers, e.g., databases.
That team delivered the first production cluster in 2006 and continued to improve it in the years that followed. In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a bigdata platform built on Hadoop to the enterprise market. It staffed up a team to drive Hadoop forward, and hired Doug.
By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of bigdata.
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