Big data management tools News
August 10, 2017
Information Builders has released a free developer version of its big data integration platform, which could potentially help channel companies take on Hadoop projects.
April 19, 2017
It used to be the Hadoop Summit, but the strategic focus at Hortonworks the enterprise-ready open source Apache Hadoop provider, has evolved. So, this year it was renamed DataWorks Summit. The ...
February 15, 2017
The Komprise data plane sits out of band to return adaptive file analytics on data and metadata. The update supports unlimited linear scaling of Komprise VMs across a unified grid.
October 10, 2016
SAP's acquisition of Altiscale expands its big-data-as-a-service footprint; Attunity automates data integration for SAP data and big data platforms with Replicate for SAP.
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The days when relational databases were the answer to almost every data management question have given way to a more varied environment, which has pros and cons for IT teams. Continue Reading
Big data has made big waves in the cloud market, with top vendors rushing to offer services. Discover what technologies are out there, and learn best practices to manage them. Continue Reading
Big data architectures typically involve multiple processing platforms. In this essential guide, you'll find information and advice on managing Hadoop, Spark and other big data technologies. Continue Reading
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AWS literally drove its data migration service onto the market, rolling Snowball onto the stage at its annual conference. But Snowball's use doesn't meet hype -- at least not yet. Continue Reading
Expert Dan Sullivan examines the HawkEye AP platform, a big data security analytics product from Hexis Cyber Solutions that can parse hundreds of different data formats. Continue Reading
The build vs. buy decision is a fluid one, as open source big data tools proliferate. This edition of the Talking Data podcast looks at the new quandary. Continue Reading
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NoSQL databases provide alternatives to relational software for managing pools of big data. But prospective buyers need to discern between the various types of NoSQL technologies. Continue Reading
Effective metadata management processes can prevent analytics teams working in data lakes from creating inconsistencies that skew the results of big data analytics applications. Continue Reading
It's time for big data systems to prove their business value, consultant Andy Hayler says. He also sees growing roles for IoT, the cloud and machine learning in the data management process. 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 software were just too great for most organizations to even consider. But that’s all changing. The benefits and competitive advantages afforded by big data analytics are no longer limited to big companies with big budgets.
In this special edition of Business Information, David Loshin walks readers through the buying process for big data analytics tools. In his first feature, Loshin writes that companies of all sizes now have greater access to big data platforms. Analytics tools are less expensive and easier to use now, to the point where even mainstream business users can manage massive amounts of BI data from multiple sources, make predictions and prescribe solutions.
But before investing in a BI big data analytics tool, Loshin advises companies to do some self-reflection. It’s not just about the applications; it’s also about a company’s mindset and culture, as Loshin explains in his second feature.
The decision-making process can be tedious, complex and time-consuming. Look to Loshin's third feature for advice on how to match your company's buying criteria with the right BI big data analytics product. Continue Reading
Moving big data can cause network strain, leading some businesses to turn to the enterprise data hub. Continue Reading
By investing in new technology, a research consortium avoids the big headache caused by big data in transit. Continue Reading