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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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Big data architectures are complicating the data integration process for more and more IT teams, driving them to hit the gas on efforts to expand their integration capabilities. Continue Reading
Effective metadata management processes can prevent analytics teams working in data lakes from creating inconsistencies that skew the results of big data analytics applications. Continue Reading
The growing use of the cloud, big data and data from outside sources has complicated data integration, making the addition of data streaming and broader connectivity a must. Continue Reading
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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
Count Paxata among startups set to apply machine learning to problems of big data preparation. Continue Reading