Resources

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NewData 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, ...

Gartner Research Note: Use Embedded Analytics to Extend the Reach and Benefits of Business Analytics

Type: Analyst Research

Product: Business Analytics, Embedded Analytics

Business users are starting to expect business analytics to be embedded in business process applications. We explain how BA leaders can ensure that embedded analytic capabilities include the range of analytic styles required by business process owners and business users.

TDWI Best Practices Report: Next-Generation Analytics and Platforms

Type: Whitepaper

Product: Business Analytics, Big Data Analytics

This TDWI Best Practices Report focuses on how organizations can and do 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: Finance & Insurance

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.

Hadoop Application Architectures

Type: eBook

Product: Data Integration, Big Data Analytics

Read this eBook for expert guidance on architecting end-to-end data management solutions with Apache Hadoop. This content will take you through architectural considerations necessary to build a complete tailored application based on your data integration use case. 

Ventana Research: Big Data Integration Report

Type: Analyst Research

Product: Data Integration, Big Data Analytics

Read this executive summary to learn how organizations are using big data integration or how they plan to use it as well as an assessment of more general aspects of data integration and technologies that big data requires.

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