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Preparing a database strategy for Big Data
Turning big data from a curse into a blessing for your organization requires a strategic approach – but just what are the database challenges and opportunities introduced by big data?
In this expert e-guide, find key insights and tactics to help you prepare a database strategy for big data, and learn about the potential value of massively parallel processing (MPP). Read on to learn more today.
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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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Generating business value from Big Data
In the buy vs. build debate in data warehousing, it’s become common opinion that it’s much easier to buy packaged systems, even if some modest amount of integration is required, than it is to build from the ground up. The pendulum is swinging back in the direction of build, however, for high-end, challenging applications integrating business intelligence (BI) data with other information such as Internet clickstream and social networking data.
Why this shift? Access this expert resource today to learn the drivers that are creating this new trend. Learn the essentials you need to know about data warehousing in the big data era. And as a bonus, enjoy an excerpt of expert Wayne Eckerson’s most recent book Secrets of Analytical Leaders: Insights from Information Insiders.
