2004 BI Big Data 
ProjectPro
JUNE 6, 2015
Business Intelligence (BI) combines human knowledge, technologies like distributed computing, and Artificial Intelligence, and big data analytics to augment business decisions for driving enterprise’s success. It replaced its traditional BI structure by integrating big data and Hadoop."-April
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. So in this piece, I’ll give my take on the evolution of the cloud data platform, starting way back from my days at Google.
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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. So in this piece, I’ll give my take on the evolution of the cloud data platform, starting way back from my days at Google.
Knowledge Hut
DECEMBER 26, 2023
What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. The average salary of a Data Engineer at Google is $127,100.
Cloudera
DECEMBER 12, 2018
It kind of was interesting to me that there were these big internet companies in the valley running this platform or a variation thereof of, based on Google research papers. Let’s talk about big data and Apache Impala. Say, circa 2004 when I started at Oracle. So, that sounds like a long pathway to get here.
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