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Data integration technology News
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.
March 24, 2017
Blockchain data technology disruption may be in the offing. IDC's Stewart Bond says architecture at the core of controversial bitcoin may show a new path to data integrity.
March 08, 2017
Application profiling software from Pepperdata is built on LinkedIn's Dr. Elephant open source entry. A primary goal is to get more Hadoop and Spark applications into production.
February 06, 2017
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.
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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
Social media channels, web applications, sales and marketing systems and other sources are bursting with endless flows of consumer information pouring into corporate data reservoirs. The amount of data created annually, reports IDC, will reach a ... Continue Reading
Data preparation is the process of aggregating and structuring data so that it can be used in business intelligence and analytics applications. Continue Reading
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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
Data scientists building predictive models and machine learning algorithms often have to do more data preparation work upfront than is necessary in conventional analytics applications. Continue Reading
Increased automation of data pipelines and more flexibility for data scientists through self-service software are taking hold as big data deployments change data preparation practices. Continue Reading
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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
Organizations with big data environments are starting to prepare data for analysis before making it available to data scientists and other users, instead of leaving the work to them. Continue Reading
We don't need more databases, we need more meaning, according to OpsDataStore CEO Bernd Harzog, appearing on a podcast covering IT operations analytics trends. 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
Chartboost, which operates a platform for mobile games, turned to new cluster management software in an effort to overcome problems in controlling the use of its Hadoop processing resources. Continue Reading