Big Data Fails: How to Avoid Them - InformationWeek

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Big Data Fails: How to Avoid Them
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HM
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HM,
User Rank: Moderator
10/13/2015 | 6:18:26 PM
HPCC Systems
Jessica, very informative approach when tackling Big Data. With the explosion of big data, companies are faced with data challenges in three different areas. First, you know the type of results you want from your data but it's computationally difficult to obtain. Second, you know the questions to ask but struggle with the answers and need to do data mining to help find those answers. And third is in the area of data exploration where you need to reveal the unknowns and look through the data for patterns and hidden relationships. The open source HPCC Systems big data processing platform can help companies with these challenges by deriving insights from massive data sets quickly and simply. Designed by data scientists, it is a complete integrated solution from data ingestion and data processing to data delivery. Their built-in Machine Learning Library and Matrix processing algorithms can assist with business intelligence and predictive analytics. More at http://hpccsystems.com
pfretty494
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pfretty494,
User Rank: Moderator
10/5/2015 | 1:37:29 PM
Business case
It all needs to start with a business case. Without a solid business case, a big data strategy will struggle to ever gain the stakeholder support needed to find success. This is especially true if the organization has any hopes of taking big data beyond the "project" classification into a true way of operating. Peter Fretty, IDG blogger working on behalf of SAS
batye
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batye,
User Rank: Ninja
10/4/2015 | 2:37:10 AM
interesting to know
interesting to know, thank you for sharing... I learn a lot, thank you...


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