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Showing 1 - 10 of 11 pages tagged with: Hortonworks
Vizient Cuts Costs and Improves Member Services Using Denodo Data Virtualization
Vizient is the largest member owned healthcare company in the US, delivering industry-leading supply chain management services and clinical improvement services to its members.They grapple with more than 1 billion detailed line item spend data, 110 million detailed patient records, 9 million products with 100 million cross-references, and 110,000 non-acute care customers, submitted each month.The Sales Operations team needed various types of reporting, such as opportunities, leads and member-related reports. Additionally, they needed to analyze opportunity-to-outcome, member-to-product and...
Powering Self Service Business Intelligence with Hadoop and Data Virtualization
 A Webinar with Hortonworks and DenodoVizient needed a unified view of their accounting and financial data marts to enable business users to discover the information they need in a self-service manner and to be able to provide excellent service to their members. Vizient selected Hortonworks Big Data Platform and Denodo Data Virtualization Platform so that they can unify their distributed data sets in a data lake, and at the same time provide an abstraction for end users for easy self-serviceable information access.During this webinar, you will learn:1) The role, use, and benefits of...
Modern, Agile Data Architecture for IoT/ Streaming Analytics
The Internet-of-Things is further evolving to Internet-of-Anything. Organizations are empowering business users with actionable intelligence derived from, data-in-motion, data-at-rest, and enterprise applications. But integrating the data across all of the data sources requires a modern, agile data architecture.In this presentation, the Director of Product Marketing at Hortonworks, Anna Yong will present:The different types of data – in motion, at rest, and in enterprise appsHow to build a modern, agile data architecture to deliver actionable intelligenceCustomer use cases and best practices....
Core Components of Fast Data Strategy – Big Data and Data Virtualization
Implementing a Fast Data Strategy requires many technologies including data virtualization, big data, BI, cloud, and so on. In this interactive panel, experts from Forrester, Autodesk, and Hortonworks debate how these technologies come together to deliver tangible business value. Hear market analysis from Forrester, real-time implementation from Autodesk, and big data use from Hortonworks.
Fast Data Strategy Virtual Summit 2016
Choose from over 20 sessions on customer case studies, education on data virtualization, and technical deep-dives filled with presentations, panels, and demos. Walk away with practical knowledge about embedding fast data strategy within your IT projects. Become a friend of the business by providing faster insights and enabling rapid decision-making.
World’s First Fast Data Strategy Conference
20+ Sessions to Accelerate your Fast Data Strategy for BI, Cloud and Big Data
Democratizing Big Data Using Data Virtualization
Guest Speakers and Experts from Forrester Research, Hortonworks, and Denodo Discuss Three Ways to be SuccessfulAfter attending the Strata 2015 conference, Forrester Research analyst Noel Yuhanna co-authored the report “Critical Big Data Insight From Strata 2015" Forrester Research, Inc., May 29, 2015, which stated “[Business] managers as well as data and technology professionals are all enthralled with the promise of big data [but] disillusioned with its complexity.” Big data vendors are innovating rapidly, but how are you keeping up with them? Here is your chance to hear from Noel about the...
Cookbook: 62-Page Special Report: Managing Data Warehouse Offloading with Big Data
The definitive guide to leveraging big data and data virtualization to reduce your data warehouse operational costs.Operating a data warehouse is expensive. Therefore, companies are choosing to partially off-load historical data onto cheaper Hadoop stores such as Cloudera and Hortonworks as natural solutions to drive costs down. However, introducing Hadoop to an existing data warehouse creates new problems with no simple way to bridge the gap—there are two data stores in place with very different modes of access, protocols, data formats, and performance and security capabilities. These data...
Hadoop and Data Virtualization - A Case Study by Vizient
Simplified Data Management with Hadoop and Data VirtualizationLearn how Vizient simplified data management and enabled faster data discovery with Hadoop and Data Virtualization.
The Hybrid Data Warehouse: Modern Data Architecture with Apache and Hadoop
Apache Hadoop didn’t disrupt the data center, the data did.Shortly after Corporate IT functions within enterprises adopted large-scale systems to manage data, the Enterprise Data Warehouse (EDW) emerged as the logical home of all enterprise data. Today, every enterprise has a data warehouse that serves to model and capture the essence of the business from their enterprise systems.This paper, presented by Hortonworks and Denodo, discusses Apache Hadoop, its capabilities as a data platform and how it supports Hybrid Data Warehouse, in combination with data virtualization, to deliver a single...