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Big data management News
February 16, 2018
MongoDB is taking a deeper step into SQL-style processing waters with a 4.0 update that brings increased support for ACID-compliant transactions to its NoSQL database.
January 03, 2018
Is this the post-Hadoop era? Not in the eyes of Hadoop 3.0 backers, who see the latest update to the big data framework succeeding in machine learning applications and cloud systems.
October 09, 2017
The Equifax Struts breakdown forms the backdrop for the Oracle machine learning and analytics moves considered in this Talking Data podcast.
October 05, 2017
At the Strata conference in New York, IT managers detailed steps they're taking to improve data quality in their big data environments in order to help ensure analytics accuracy.
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Data lakes pose technology deployment and data management challenges that can leave analytics users high and dry if the implementation process isn't handled properly. Continue Reading
Hadoop data lakes offer a new home for legacy data that still has analytical value. There are different ways to convert it for use in Hadoop depending on your analytics needs. Continue Reading
AI and IoT will alter the data management landscape in 2018, according to analyst James Kobielus. AI will need regular updates, and DevOps will become more prevalent as a result. 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
Quantum mechanics was discovered 100 years ago. Now, as technology based on it emerges from labs, IT vendors are setting their sights on quantum computing and analytics applications. Continue Reading
As part of its Big Data Cloud Service, Oracle provides a set of internal and external tools designed to help users efficiently deploy and manage Hadoop-based big data systems. Continue Reading
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Data catalog software from Alation helped San Diego's chief data officer open up the city's data to residents, as well as city planners and other government workers. Continue Reading
As GPU deep learning becomes more common, data managers will have to navigate several new layers of complexity in their quest to build or buy suitable data infrastructure. Continue Reading
To help make big data analytics applications more effective, IT teams need to augment conventional data quality processes with measures aimed at improving the usability of data. Continue Reading
Problem Solve Big data management Issues
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Flooding a Hadoop cluster with data that isn't organized and managed properly can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
In the era of more and more digital orders, Panera Bread encountered big data challenges that led the restaurant chain to deploy a new cluster architecture with Hadoop, Spark and other technologies. Continue Reading
Data management teams are asking more questions about data security, Gartner analyst Merv Adrian says in a Q&A. But new factors are complicating the process of securing databases, he adds. Continue Reading