Big data analytics
Big data analytics is the process of examining large and varied data sets -- i.e., big data -- to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.. See complete definition.
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Big data analytics News
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April 17, 2018
17
Apr'18
Teradata applies time series analytics tools to IoT data
Data warehouse pioneer Teradata looks to ease IoT data analysis with capabilities that address skills gaps on time series analytics techniques, which are coming more to the fore.
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April 02, 2018
02
Apr'18
Nvidia, Pure Storage FlashBlade lift 'AIRI' infrastructure
Pure Storage AIRI is AI-ready infrastructure that integrates Pure's all-flash FlashBlade NAND storage blades and four Nvidia DGX-1 artificial intelligence supercomputers.
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March 30, 2018
30
Mar'18
Oracle Autonomous Database debut heralds new cloud hopes
It wasn't the first in the cloud computing space, but Oracle is all in now. Key to the effort is a new Autonomous Database service, initially available for data warehousing uses.
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March 23, 2018
23
Mar'18
Cambridge Analytica-Facebook case shows need for ethical data mining
Ethical data collection practices are becoming even more important, as cases like Cambridge Analytica's misuse of Facebook data challenge consumer trust in enterprise analytics.
Big data analytics Get Started
Bring yourself up to speed with our introductory content
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Apache Hadoop YARN
Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading
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Humans and AI tools go hand in hand in analytics applications
Companies are keeping data analysts and other workers in the loop with AI applications to check the results generated by automated algorithms for accuracy, relevance and missing info. Continue Reading
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U-SQL
U-SQL is a Microsoft query language that combines a declarative SQL-like syntax with C# programming, enabling it to be used to process both structured and unstructured data in big data environments. Continue Reading
Evaluate Big data analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Kubernetes gains momentum in big data implementation process
Big data vendors and users are looking to Kubernetes-managed containers to help accelerate system and application deployments and enable more flexible use of computing resources. Continue Reading
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AI functionality limited today but could be a game-changer
Limited AI capabilities could soon give way to technology that is truly transformative for enterprises, surpassing the overhyped functionality that we see today. Continue Reading
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Hype surrounding AI technologies nears atomic proportions
Amid the infiltration of artificial intelligence into business and society, spawning fears from some of Armageddon, humankind's greatest AI threat may very well come from within. Continue Reading
Manage Big data analytics
Learn to apply best practices and optimize your operations.
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IT teams take big data security issues into their own hands
Data security needs to be addressed upfront in deployments of big data systems -- and users are likely to find they have to build some security capabilities themselves. Continue Reading
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Information architecture applied to big data streaming, AI
New technologies challenge data professionals, but taking a step back helps with hurdles. In this interview, consultant William McKnight takes a measured look at data streaming, GDPR and AI. Continue Reading
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Cloud workloads, data lakes challenge information architecture
Data management options are expanding; cloud workloads are an example. That means changing your approach to information architecture, says data management expert William McKnight. Continue Reading
Problem Solve Big data analytics Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Kubernetes container orchestration gets big data star turn
The new thing in big data is Kubernetes container orchestration. While it's still early, there are signs of activity, which are cited in this edition of the Talking Data podcast. Continue Reading
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Seven steps to a successful data lake implementation
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
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Panera meets big data challenge of lunchtime operations
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