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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August 08, 2018
08
Aug'18
Confluent Platform 5.0 aims to mainstream Kafka streaming
Confluent Platform updates seek to bring data streaming with Apache Kafka to a wider audience. A new GUI and user-defined functions are part of the 5.0 release.
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July 27, 2018
27
Jul'18
BigQuery ML moves machine learning into Google BigQuery
Google is enabling BigQuery users to build SQL-based machine learning models inside the cloud data warehouse via a BigQuery ML technology now out in beta.
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July 25, 2018
25
Jul'18
Qlik-Podium acquisition aims to boost BI data management
With its acquisition of Podium Data, Qlik seeks to amplify its enterprise BI data management capabilities and raise the level of competition with Tableau and Power BI.
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July 19, 2018
19
Jul'18
Data analytics in government efforts lack structure
Data analytics in government agencies lack organization, focusing on immediate problems instead of attacking underlying causes without a unified strategy or system.
Big data analytics Get Started
Bring yourself up to speed with our introductory content
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Labeled data brings machine learning applications to life
The types of data being collected for analytics use are increasing, but traditional structured data is a good match for machine learning. Gartner's Svetlana Sicular explains why. Continue Reading
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GPU cloud tools take complexity out of machine learning infrastructure
While talk of AI on GPUs is abuzz, actually building a machine learning infrastructure remains a dark art. A startup's PaaS is looking to automate parts of the process. Continue Reading
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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
Evaluate Big data analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Reddit and the aspiring data scientist
For amateur data scientists, Reddit provides the opportunity to post about personal projects, chat with like-minded people and get free advice from a large community. Continue Reading
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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
Manage Big data analytics
Learn to apply best practices and optimize your operations.
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Four challenges to successful predictive analytics models
Analyzing customer interactions to create a predictive analytics model isn't foolproof. Expert David Loshin shares four factors that could stymie your efforts. Continue Reading
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Reskilling the analytics team: Math, science and creativity
Technical skills are a must for data scientists. But to make analytics teams successful, they also need to think creatively, work in harmony and be good communicators. 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
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