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Cloud Analytic Databases 2017
The cloud is proving immensely useful to providing elastic, measurable, on-demand, self-service resources to organizations. The uptake in 2016 has been…
Read MoreSelecting a Platform for Big Data
This report serves end-user companies seeking to step into the world of Hadoop, move an existing Hadoop strategy into profitability or production…
Read MoreThe Benefits and Challenges of Personal Analytics
Blending data, content, and context for individual business analytics allows enterprise IT to fully align decisions with corporate strategy.
Read MoreExtending Hadoop Towards the Data Lake
Early adopters of the data lake are integrating Hadoop into current workflows and addressing challenges around the cleanliness, validity, and protection…
Read MoreHandling Omnistructured Data with a Unified Platform
Organizations must increasingly integrate and process data of all shapes and sizes, so handling structured data alone is no longer enough.
Read MoreEmbedded Analytics in the Self-Service BI Enterprise
Modern reporting solutions are based on individual empowerment, providing users the tools to design their own reports, configure dashboards, and explore…
Read MoreSector Roadmap: Hadoop/Data Warehouse Interoperability
With virtually every Hadoop distribution vendor offering SQL-on-Hadoop solutions, the key factor in the market is now the integration between Hadoop…
Read MoreReal-time Metrics for Improved Business Operations and Agility
The value of leveraging real-time operational metrics for data has proven itself, but finding the most useful approach towards applying it…
Read MoreCustomer Targeting: Beyond Demographics and “Likes”
Real-time data analytics and programmatic ad buying and selling are becoming more critical to brand marketers as they refocus more of…
Read MoreOutlook: Media and consumer tech in 2015
In 2015 expect the payoff for video ad tech to begin, sharp growth for OTT, and more legal battles for net…
Read MoreOutlook: Big data and analytics in 2015
The year 2015 will be one in which data and analytics technologies become more standardized, more broadly adopted, and more successful.
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