This Sector Roadmap is focused on data integration (DI) selection for multiple/general purposes across the enterprise. We eliminated all DI products…
Read MoreResearch
William McKnight
William McKnight is a former Fortune 50 technology executive and database engineer. An Ernst & Young Entrepreneur of the Year finalist…
Learn MoreRequest for Information (RFI) Guide: Moving Analytic Workloads to the Cloud
Recent trends in information management see companies shifting their focus to, or entertaining a notion for a first-time use of, a…
Read MoreMoving Analytic Workloads to the Cloud: A Transition Guide
Recent trends in information management see companies shifting their focus to, or entertaining a notion for a first-time use of, a…
Read MoreCloud 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.
Read MoreApache Hadoop: Is one cluster enough?
Projects like Apache YARN expand the types of workloads for which Hadoop is a viable and compelling solution, leading practitioners to…
Read MorePushing big data to the executive edge
Getting big data to senior executives requires the business intelligence community to help them overcome reservations around the technology.
Read MoreReal-time marketing takes hold
Spurred by some spectacular successes, and some equally spectacular failures, real-time marketing is expanding beyond its roots as brand content synced…
Read MoreThe application-defined data center
Enterprises can use data centers and cloud computing together to meet the infrastructure needs of emerging applications and new requirements.
Read MoreBeyond SSDs: flash and performance-sensitive computing
Flash's balance between speed and cost opens provides opportunities for emerging big-data applications as well as applications that are otherwise input/output…
Read MoreHow enterprises will use the cloud for big data analytics
Enterprises are shifting big-data analytics projects to the cloud but compatibility, security, and performance concerns remain key blockers to adoption.
Read MoreMarket landscape: in-memory database technologies
The landscape of data solutions has been significantly disrupted in the last several years, on multiple fronts. Another such disruption is…
Read MoreIntelligence-aware threat detection and mitigation
In the era of big data, organizations must employ a combination of security analytics, intelligence-aware security controls, and automated response to…
Read MoreHow smart management of marketing tech can boost site ROI
Today’s marketing technology landscape is a highly complex labyrinth of platforms, applications, and APIs. To fully reap the benefits, though, IT…
Read More