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March 06, 2015
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What Makes a Big Data Project Successful?

“Start with the business problem!” That’s Sanjay’s advice when it comes to building a successful Big Data solution. For those of you who have missed the first part of this video series, Sanjay Krishnamurthi, SVP and Chief Technology Officer at Informatica, and Shaun Connolly, Vice President Corporate Strategy at Hortonworks, address a number of hot Big Data topics throughout a series of nine videos.

Today, they talk about how Big Data projects need to be driven by the business and how IT solutions and frameworks such as Hadoop have to be integrated with the rest of the data systems. For instance, Hadoop augments and complements Data Warehouses by providing a very cost efficient way to build infinite history. From there, possibilities are truly endless. Some of the most innovative companies are already leveraging data to transform their business and differentiate themselves through data enrichment, predictive analytics and comprehensive views of their customers. They do not discard data, because throwing away data would be like throwing away dollar bills. Of course, not all data needs to go into the Data Warehouse, as it is not feasible or needed.

“Hadoop provides a platform that technically and economically makes sense,” says Shaun Connolly.

At the end of the day, it’s about going from a reactive-type of business to a predictive, data-driven organization.​

Watch the Second Part of the Series (register once, watch them all)

Go back to the first part of the series.


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