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NewWhat's new in Pentaho 5.4 - Future-Proofing the Data-Driven Enterprise

Type: Video

Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics

Pentaho 5.4 expands on a foundation of big data innovation by providing powerful and flexible new functionality to address the ongoing explosion in enterprise data volume and diversity, as well as movement toward cloud-based data environments at massive scale. Join Pentaho for this exciting ...

NewThe Next Big Thing in Big Data

Type: Video

Product: Big Data Analytics

James Dixon has a unique perspective on the big data space - he coined the term "data lake." In this webinar the Big Data Maverick talks big data - watch to learn more about the technology landscape and evolving use cases. 

NewEnabling Governed Data Discovery

Type: Analyst Research

Product: Business Analytics, Big Data Analytics

Today, the need for self-service data discovery is making data governance a charged topic. As business-driven data discovery emerges as a fundamental need, the ability to ensure that data and analytics are trustworthy and protected becomes both more difficult and more imperative.

This ...

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 ...

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.