Data analytics

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Data analytics News

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.
June 14, 2018 14 Jun'18
Quantum computing applications creep forward

Tech vendors and users are moving forward on quantum computing tools and research. While still futuristic, developments bear watching, Forrester's Brian Hopkins says.
June 13, 2018 13 Jun'18
Tableau acquisition of MIT AI startup aims at smarter BI software

Tableau acquires AI startup Empirical Systems in a plan to provide users with automated data modeling capabilities and enable broader BI and analytics applications.
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.

Bring yourself up to speed with our introductory content

What goes into a customer analytics data integration framework

Customer data integration is a minefield for IT teams to navigate. But incorporating a set of core technical functions into an integration architecture can ease the process. Continue Reading
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
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

Weigh the pros and cons of technologies, products and projects you are considering.

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
AP uses data collaboration platform to spread data journalism

Data journalism reporters need tools that deliver quick context for stories on deadline. A data collaboration platform from data.world helps the Associated Press meet such needs. Continue Reading
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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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
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
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

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Combination of blockchain and AI makes models more transparent

Blockchain technology could play an important role in helping enterprises develop more explainable AI applications, something that is frequently lacking today. Continue Reading
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
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