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Tactical Data Warehouse Development

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Tactical Data Warehouse Development Reports
 
Vitria VIA IoT Analytics Platform Overview
sponsored by Vitria Technology, Inc.
VIDEO: This brief webcast examines Vitria and their real-time IoT analytics platform. Learn how to generate faster insights to drive smarter decision-making and bolster IoT business strategies, predictive analytics, data visualizations, and more.
Posted: 07 Jul 2017 | Premiered: 07 Jul 2017

Vitria Technology, Inc.

Harnessing the Value of Big Data Analytics
sponsored by Teradata
WHITE PAPER: Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.
Posted: 29 Jan 2014 | Published: 29 Jan 2014

Teradata

BI Trends and Strategies E-Zine Issue 8
sponsored by SearchBusinessAnalytics
EGUIDE: Organizations are carving out small slices of their DWs and databases where scientists and analysts can manipulate and analyze data sets. The intent of the data sandbox is to separate experimentation from the production database environment. Read this edition of BI Trends and Strategies to learn about the many benefits of using data sandboxes.
Posted: 03 Aug 2012 | Published: 01 Aug 2012

SearchBusinessAnalytics

Webcast: 5 Game Changing Use Cases for Big Data
sponsored by IBM
WEBCAST: This webcast counts down five essential use cases for big data that can help your organization gain a competitive advantage and fuel success. Tune in today to learn more.
Posted: 09 Sep 2013 | Premiered: Aug 23, 2013

IBM

Best Practices for Implementing a High-Performance Data Warehouse
sponsored by SAS
WHITE PAPER: There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information.  Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.
Posted: 11 Apr 2013 | Published: 31 Dec 2012

SAS

Big Data Challenges and Pitfalls
sponsored by HP & Intel®
EGUIDE: This E-Guide examines key big data challenges and offers real-world strategies and advice for dealing with big data. In addition, examine typical pitfalls you may encounter during the data warehousing process.
Posted: 07 Dec 2012 | Published: 07 Dec 2012

HP & Intel®

Deliver Better Results Across the Data Management Lifecycle: HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse
sponsored by HP
WHITE PAPER: The following whitepaper outlines the important steps to consider when implementing a diversified data management strategy.
Posted: 18 Oct 2013 | Published: 18 Oct 2013

HP

Best practices in Oracle Data Warehousing
sponsored by ParAccel
EGUIDE: With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.
Posted: 17 Jan 2013 | Published: 10 Jan 2013

ParAccel

Enabling an Agile Data Warehouse with Automation
sponsored by Attunity
WEBCAST: Watch this webinar to learn how to overcome the limitations of traditional data warehouses with modern technology, which can enable you to automate and accelerate routine IT tasks associated with designing, creating, populating, and managing data warehouses and data marts.
Posted: 05 May 2016 | Premiered: Mar 10, 2016

Attunity

Big Data Era: Embrace Speed & Simplicity in your Data Warehouse for a Competitive Edge
sponsored by IBM
WHITE PAPER: This white paper provides insight into what modern data warehouses need to accomplish to be relevant. Learn how adapting old technologies to manage new challenges is inadequate, and how you can manage big data simply and at low cost, while simultaneously processing advanced analytics at the speed of business.
Posted: 28 Apr 2016 | Published: 31 May 2014

IBM
 
 
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