Advanced analytics software News
March 30, 2016
In big data analytics, some want stronger data privacy regulations, while others want the government out of the picture.
March 24, 2016
The Strata + Hadoop World conference focuses on big data management and analytics technologies, in particular the Hadoop distributed processing framework and Spark processing engine.
February 19, 2016
This year's Magic Quadrant report from Gartner on business intelligence and analytics platforms reflects a shifting market for BI reporting tools and includes some big changes in its vendor rankings.
December 28, 2015
In 2015, APIs for IBM's Watson system were front and center as a means to bring cognitive computing applications to a broader corporate audience.
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Edge analytics applies algorithms to data at the point of collection in order to trigger actions and determine what should be sent back to a central data repository and what should be discarded. Continue Reading
When assessing the reality behind today's AI technology, businesses need to think about how it can perform in specific tasks rather than hoping for a do-it-all tool. Continue Reading
Smart manufacturing is a strategy for managing manufacturing operations that leverages sensor data to better understand and plan the production process. Continue Reading
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By examining the key characteristics presented here -- along with the top Hadoop distributions -- you can determine which subscription is right for your organization. Continue Reading
Organizations with big data environments are turning to SQL-on-Hadoop software to speed up analytical queries and data integration jobs -- and eliminate the need to program in MapReduce. Continue Reading
Cloudera distribution including Apache Hadoop provides an analytics platform and the latest open source technologies to store, process, discover, model and serve large amounts of data. Continue Reading
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When it comes to building a data science team, businesses should expect to find workers from a variety of backgrounds rather than holding out for a unicorn. Continue Reading
Using the cloud for machine learning might be the best way to get the technology off the ground in some organizations. Continue Reading
Big data technologies are giving machine learning methods a shot at wider adoption. But for users, the road to successful deployments involves new IT infrastructure -- and some schooling. Continue Reading
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Once upon a time not too long ago, when the term big data was born and bandied about, most companies viewed using big data as just a pipe dream. The processing demands, data storage needs and associated costs to integrate BI big data analytics ... Continue Reading
Analytics opportunities are booming, and surveys show big data projects are growing as well. In the new big data world, that should be exciting news for data scientists and business analysts itching to come up with ways to use all of the information... Continue Reading
The piles of data gathered from business intelligence and analytics tools is of little use to BI, data management and IT teams if they don't have a good way to visualize the data. To put data to effective use, IT teams need to construct an ... Continue Reading