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NewBig Data Refinery: Distilling Value for User-Driven Analytics

Type: Webinar

Product: Data Integration, Big Data Analytics

Join the Bloor Group and Pentaho as they discuss big data best practices for the self-service, intelligent enterprise. You’ll see how to enable users to blend, enrich and explore clean, governed datasets, and how well-governed data orchestration, along with pragmatic design patterns, can ...

Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective

Type: Analyst Research

Product: Business Analytics, Big Data Analytics, Embedded Analytics

More and more enterprise organizations are increasingly turning to Hadoop, both as a data platform that accommodates exploding data volumes, and a computational platform for business analytics that enables data-driven business decisions. But As Hadoop enters into a wider range of use cases, ...

NewMarket Overview: Big Data Integration

Type: Analyst Research

Product: Data Integration, Embedded Analytics

Your Big Data Strategy Is Not Complete Without Big Data Integration. This market overview from Forrester Research (December 2014) provides an overview of the challenges,benefits, and strategic utility of big data integration projects. You’ll see how big data integration saves money, ...

Data Management for the Internet of Things

Type: Analyst Research

Product: Business Analytics, Data Integration, Big Data Analytics

As new machines, sensors, and connected devices come online every day, organizations are forced to embark on new IOT initiatives to extract insights from ever-increasing data volumes. This research report from the Aberdeen Group examines the current state of data management and details the ...

2015 Gartner Magic Quadrant for Business Intelligence and Analytics Platforms

Type: Analyst Research

Product: Business Analytics, Data Integration, Embedded Analytics

In the 2015 Magic Quadrant, Gartner defines business intelligence and analytics as a software platform that delivers 13 capabilities across three categories: enable, produce, and consume. Vendors are also assessed for the support of the following four main use cases: centralized BI provisioning, ...

TDWI Best Practices Report: Next-Generation Analytics and Platforms

Type: Analyst Research

Product: Business Analytics, Big Data Analytics

This TDWI Best Practices Report focuses on how organizations can use next-generation analytics. It provides in-depth analysis of current strategies and future trends for next-generation analytics across both organizational and technical dimensions, including organizational culture, ...

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Type: eBook

Product: Data Integration, Big Data Analytics, Embedded Analytics

This eBook from O’Reilly Media will help you navigate the diverse and fast-changing landscape of technologies for processing and storing data (NoSQL, big data, MapReduce, etc). It looks at examples of successful data systems and discusses their key algorithms, basic principles, and the ...

Field Guide to Hadoop

Type: eBook

Product: Data Integration, Big Data Analytics

This book helps you understand the components of the Hadoop ecosystem and how they relate to each other. The two chapters in this preview edition covers core technologies and database systems, and provides sample code and links to tutorials for each.

Bloor Group, Beyond Discovery: Visualization at the Point of Impact

Type: Webinar

Product: Business Analytics, Embedded Analytics

Watch this episode of The Bloor Group's Briefing Room for an explanation why feeding quality, governed data into an effective visualization experience is important. It also discusses how embedded analytics can help create the right user experience for data and deliver powerful data visualization ...

Build a Streamlined Data Refinery

Type: Whitepaper

Product: Data Integration, Big Data Analytics

Industry: Government - Fed & Local

This short paper discusses how organizations can benefit from a Streamlined Data Refinery Architecture, which represents a flexible way to automate delivery of information to large numbers of users for a variety of big data analytics purposes.