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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.
Data integration technology Get Started
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Data preparation is the process of gathering, combining, structuring and organizing data so it can be analyzed as part of data visualization, analytics and machine learning applications. Continue Reading
The mysteries once associated with coding and application development are gradually giving way to the forces of market demand for speed and simplicity. No sooner did we get somewhat comfortable with DevOps and what it means that a new wrinkle... Continue Reading
Data integration is the process of retrieving data from multiple source systems and combining it in such a way that it can yield consistent, comprehensive, current and correct information for business reporting and analysis. Continue Reading
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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
Predictive models help Jewelry Television's on-air hosts sell its wares, thanks to data integration and preparation processes that funnel a mix of data into the analytics applications. Continue Reading
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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
The data preparation process is becoming harder to manage effectively, especially for big data analytics applications involving large amounts of data from a variety of sources. Continue Reading
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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
Choosing the right ETL tool for your data integration requirements can be a challenge. Here's a rundown on what to look for in ETL software and potential vendors to consider. Continue Reading