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Data integration technology News
September 28, 2017
The Strata conference in New York saw big data platform vendor MapR Technologies update MapR-DB, its NoSQL database engine, to better perform in real-time analytics applications.
September 26, 2017
ETL jobs -- once the sole province of IT -- take on a new form as data wrangling and self-service gain greater traction with business users of analytics.
August 10, 2017
Information Builders has released a free developer version of its big data integration platform, which could potentially help channel companies take on Hadoop projects.
April 14, 2017
Software containers encapsulate complexity and ease deployment, two traits that are helping to elicit growing interest in using them as part of big data systems.
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Customer data integration is a minefield for IT teams to navigate. But incorporating a set of core technical functions into an integration architecture can ease the process. Continue Reading
To create a cloud payment processing system, Global Payments first had to deploy a data lake in the Google Cloud. Getting quick user feedback was another early step. Continue Reading
Master data management (MDM) is a comprehensive method of enabling an enterprise to link all of its critical data to a common point of reference. Continue Reading
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A hospital population health officer and vendor CEO detail their views about payer-provider partnerships. One key aspect is the ability to boost customer service efforts. Continue Reading
Understanding the data integration process is central to self-service BI and data architecture design, consultant Rick Sherman says in an end-of-year look at data management trends. Continue Reading
AWS, Google and Azure all offer services to manage Docker containers. The key to success is to select a container orchestration tool that integrates with your cloud deployment. Continue Reading
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Most companies don't have a shortage of data, but it's often stored in siloed systems or inconsistent formats -- problems that data integration programs need to address. Continue Reading
Today, analytics work is about speed. That means rapidly building clusters and transforming and querying data. Learn how users are streamlining digital business. Continue Reading
Changes in data management processes -- including self-service data preparation, data lakes and real-time analytics -- create a new landscape in companies, according to analyst Matt Aslett. Continue Reading
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Data integration processes that aren't managed properly can create inconsistent data in BI and analytics applications. Here are some steps to avoid that problem. Continue Reading
Moving relational data into Hadoop isn't a slam dunk. To avert programming complexities, a major Texas university turned to commercial tools to stock its Hadoop data lake. Continue Reading
Real-time big data analytics calls for changes in the way data systems are built. Some of the pressing challenges are discussed in this edition of the Talking Data podcast. Continue Reading