Big data analytics
Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions.. See complete definition.
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BI Self-Service Tool Comparison
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Big data analytics News
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October 04, 2018
04
Oct'18
Cloudera-Hortonworks merger narrows Hadoop users' options
Hadoop users will have fewer choices as big data rivals Cloudera and Hortonworks unite. But the new company may be more competitive with AWS and Google.
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September 26, 2018
26
Sep'18
Mining equipment maker uses BI on Hadoop to dig for data
BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people.
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September 13, 2018
13
Sep'18
Containers key for Hortonworks alliance on big data hybrid
Hortonworks is joining with Red Hat and IBM to work together on a hybrid big data architecture format that will run using containers both in the cloud and on premises.
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September 12, 2018
12
Sep'18
Using visualizations and analytics in media content
By using the best mass media BI practices, from data visualization to measuring metrics, companies like Condé Nast and Comcast are attracting consumers and raising revenues.
Big data analytics Get Started
Bring yourself up to speed with our introductory content
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AI for analytics augments and bolsters business intelligence
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big data analytics
Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make... Continue Reading
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data sampling
Data sampling is a statistical analysis technique used to select, manipulate and analyze a representative subset of data points to identify patterns and trends in the larger data set being examined. 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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Cloud buoys data microservices -- for on-premises systems, too
Data in a microservices architecture is percolating anew. This news analysis looks at IBM Cloud Private for Data and other means to harmonize data in public and private locations. Continue Reading
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Augmented analytics reveals the hidden side of things
The rise of augmented analytics empowers businesses to find correlations in data that might very well be the critical difference in operational efficiency and cost savings. Continue Reading
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5 trends driving the big data evolution
The speedy evolution of big data technologies is connected to five trends, including practical applications of machine learning and cheap, abundantly available compute resources. Continue Reading
Manage Big data analytics
Learn to apply best practices and optimize your operations.
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UCSD graduates to advanced analytics with SAP HANA platform
The University of California, San Diego implemented an SAP HANA platform that uses advanced analytics and machine learning to run operations and help students graduate on time. Continue Reading
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Data science teams use business ties to boost data knowledge
To ensure that advanced analytics applications are relevant to business operations, data scientists are collaborating with workers who are experts on business data. Continue Reading
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Big data platform broadens place in analytics architecture
Big data platforms stumbled a bit getting out of the prototyping stage. But a view from the Strata Data Conference in New York sees broader use in the offing. 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