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Case Study: Banca Carige unlocks the growth potential of big data

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3 steps to meet today's data challenges

Today’s data is complex, unstructured, and constantly moving at a rapid rate. It isn’t enough to know that data is big. In the new world of always-on data, you need to reimagine your relationship to data to improve the bottom line.

This resource lays out the 3 steps to transform your organization in order to meet today’s data challenges. Learn how to awaken your data, discover hidden value, and deploy your data-driven insights into processes or products. 

These are also closely related to: "Case Study: Banca Carige unlocks the growth potential of big data"

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    In order to become more data-driven, businesses need to think more strategically about governing the data they’re looking to be driven by.

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    In this expert e-guide, we explore how to create an enterprise data governance framework. Uncover some strategic best practices for big data governance so that you can boost data quality and prevent critical inconsistencies. 

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    In this three-part handbook, senior news writer Jack Vaughan examines the distinct advantages the Apache Spark architecture has over MapReduce. Also highlighted is how Spark's ability to process and analyze streaming data is helping detect fraudulent activities at a major banking and credit-card company. Next, Spark 2.0's upcoming upgrades to analytics speed, machine learning libraries, SQL support and stream processing are detailed. To close, Vaughan and senior news writer Ed Burns look at combining Spark and NoSQL databases in operational analytics applications, which could help broaden the use of both technologies.

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