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Use Analytics to Innovate and Lead in Today's Banking Environment
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Which SSD type deserves your data?
Flash storage has built up quite the reputation for being fast. And when it comes to data analytics, SSDs don’t disappoint because solid-state technology can perform analytics on big data more efficiently. However, there’s a bit of a catch.
In this guide, storage expert – Phil Goodwin – discusses how flash storage technology is only advantageous in certain types of environments. Discover which kind of SSD deployment is best designed for your environment’s big data needs.
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Spark Muscles Into Big Data Processing
It comes as no great surprise that the Apache Spark architecture has been horning in on the batch processing domain once controlled by Hadoop's MapReduce. But that's only part of the story. With data processing, streaming and machine learning capabilities on its résumé, the open source engine is learning to get along entirely without Hadoop in certain applications. In fact, one industry analyst cautiously sees a day when Spark could declare total independence, potentially bust up Hadoop cluster dominance and link separately with other Apache technologies.
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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Data governance 101: Creating a framework
In order to become more data-driven, businesses need to think more strategically about governing the data they’re looking to be driven by.
As a result, implementing an effective data governance plan comes down to not only picking the right tools but coordinating multiple business units, getting them involved, and possibly rethinking your operating model.
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.
