Big Data Meets BI: Beyond The Hype
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User Rank: Apprentice
11/2/2012 | 3:34:32 PM
re: Big Data Meets BI: Beyond The Hype
Stephen makes an interesting point; Industry has to constantly innovate and sell new stuff; .. and the latest is to capture unstructured data (from FB, Twitter and other social interaction) that can be correlated with products and services (big data analytics) and hopefully this correlation (interest) to drive the sales (yet to be done); I am hoping to see someone establishing this multichannel advertising spending model that can help me maximize the actual sales. Everything else is fun and games!
User Rank: Strategist
11/1/2012 | 1:43:07 PM
re: Big Data Meets BI: Beyond The Hype
Cindi, nice article. We are seeing an increase in businesses seeking specialized skills to help address challenges that arose with the era of big data. The HPCC Systems platform from LexisNexis helps to fill this gap by allowing data analysts themselves to own the complete data lifecycle. Designed by data scientists, ECL is a declarative programming language used to express data algorithms across the entire HPCC platform. Their built-in analytics libraries for Machine Learning and BI integration provide a complete integrated solution from data ingestion and data processing to data delivery. More at
User Rank: Apprentice
10/31/2012 | 2:34:51 PM
re: Big Data Meets BI: Beyond The Hype

You stated that Big Data is "more than Hadoop" but that's the closest you came to providing a definition. What is Big Data? In what sense is it different from data of the past? Why are features such as in-memory databases suddenly being called Big Data solutions? We've been querying "vast volumes of granular data" for many years, so what's changed to make this into something new called Big Data? We've been adding new sources of data constantly since the advent of computers, so what about today's new sources requires the name Big Data? How is what BI companies are doing today a qualitative departure from the past?

Stephen Few

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