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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Staff Pick: The Rising Need for Analytics Accuracy
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Big data analytics News
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June 18, 2018
18
Jun'18
Hortonworks cloud options grow via Google, Microsoft, IBM
Hortonworks now supports Google Cloud Storage and has also broadened cloud deals with Microsoft and IBM, aiming to increase cloud uses of its big data platform.
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May 30, 2018
30
May'18
New data science platforms aim to be workflow, collaboration hubs
Oracle's acquisition of DataScience.com is shining a spotlight on workbench-style platforms designed to centralize advanced analytics work by teams of data scientists.
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May 03, 2018
03
May'18
Qlik readies new Qlik Sense features for cloud, AI, big data
Self-service BI vendor Qlik is beginning to add a promised set of advanced functionality to its Qlik Sense software, but the features will be delivered in stages.
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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.
Big data analytics Get Started
Bring yourself up to speed with our introductory content
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Google Cloud data lake fuels cloud payment processing flow
To create a cloud payment processing system, Global Payments first had to deploy a data lake in the Google Cloud. Getting quick user feedback was another early step. Continue Reading
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text mining (text analytics)
Text mining is the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data. Continue Reading
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Hadoop
Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems. 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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Starburst finds new worlds to conquer with SQL query engine
Relational databases may have hit a wall of late, but the SQL query engine seems poised for wider growth. Starburst, a retro startup of sorts, is among those looking to take it wider still. Continue Reading
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GPU databases bring greater parallelism to big data processing
GPU databases offer a new way to process data. 451 Research analyst James Curtis discusses where they fit in big data applications, particularly for parallel processing. Continue Reading
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Data scientist vs. business analyst: What's the difference?
Data science and business analyst roles differ in that data scientists must deep dive into data and come up with unique business solutions -- but the distinctions don't end there. 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