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Overcoming the Initial Challenges of Big Data

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Joe Caserta is the founder of big data consulting company Caserta Concepts, which has worked with Liberty Mutual, Swiss Re and other large corporations. He believes that many organizations underestimate the complexities of moving from relational databases to Hadoop and other big data technologies. He says understanding exactly what technology can and cannot do is essential to the success of big data and deep analytic initiatives. In an interview with Information Management, Caserta discussed the initial challenges of big data and how to overcome them. He also shared some interesting thoughts about Hadoop and other popular big data initiatives.

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Comments (1)
Julie, very informative article. 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 quick and simple. 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
Posted by HAANA M | Thursday, July 10 2014 at 4:09PM ET
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