2004 BI Data Analytics 
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.
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Cloudera
DECEMBER 12, 2018
Say, circa 2004 when I started at Oracle. Oracle used to have a group of customers that had the largest amounts of data, and that group of customers had a nickname called the Oracle Terabyte Club. So if you had a terabyte or more of data in your Oracle data warehouse, you were a big customer in 2004.
ProjectPro
JUNE 6, 2015
How can business intelligence scale and analyse the growing data heap? 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. So what is BI? So what is BI?
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. Let us now understand the basic responsibilities of a Data engineer.
Expert insights. Personalized for you.
52 
Let's personalize your content