Data Cleansing Software Reports

Automated Business Intelligence: Delivering Real Business Value, Quickly, Easily, and Affordably
sponsored by Birst
WHITE PAPER: This White Paper explores how traditional approaches fall short, what the automated solution and its benefits look like, how the on-demand delivery model best represents the integrated stack necessary for automation, and how the automated, on-demand model brings the benefits of BI to a far broader audience than ever before.
Posted: 19 Jun 2009 | Published: 19 Jun 2009

Birst

BI Without a Data Warehouse? An Effective Strategy for Midsize Companies
sponsored by IBM
WEBCAST: In this webcast, you’ll learn about a new generation of business intelligence (BI) solutions designed to take on reporting, analysis, dashboarding, scorecarding, planning, budgeting and forecasting projects while remaining affordable.
Posted: 03 Jun 2010 | Premiered: Jun 29, 2010, 11:00 EDT (15:00 GMT)

IBM

How Pink OTC Markets Cuts Reporting Time and Operating Costs with a Market Data Warehouse Built on Vertica and Syncsort
sponsored by Vertica Systems
WHITE PAPER: Learn how Pink OTC Market Inc., the third largest U.S. equity trading marketing place,  built a highly available and reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
Posted: 16 Jul 2010 | Published: 16 Jul 2010

Vertica Systems

E-Guide: Data Warehousing for Growing Data Volumes
sponsored by Dell EMC and Microsoft
EGUIDE: With an influx of big data flooding businesses everywhere, the data warehousing landscape is changing rapidly. To learn more about the latest trends and advances in the big data management and data warehousing market, as well as steps you should take before investing in new technologies, review this expert e-guide now.
Posted: 27 Jun 2012 | Published: 27 Jun 2012

Dell EMC and Microsoft

5 Steps to Offload Your Data Warehouse With Hadoop
sponsored by Syncsort
EBOOK: This guide offers expert advice to help you get started with offloading your EDW to Hadoop. Follow these 5 steps to overcome some of the biggest challenges & learn best practices for freeing up your EDW to do the work it was meant to do: provide the insights you need through high-performance analytics and fast user queries.
Posted: 18 Feb 2014 | Published: 18 Feb 2014

Syncsort

Extreme Warehouse Speed for Fast Business Decisions
sponsored by IBM
WHITE PAPER: This e-book explores how forward-looking organizations like yours are using extremely rapid, highly effective analysis of data to change the way they make decisions – enabling them to predict shifts in business and proactively adjust for better business outcomes.
Posted: 03 Sep 2013 | Published: 31 Dec 2012

IBM

Windows Flash Array
sponsored by Violin Memory
PRODUCT OVERVIEW: Find out how your organization can utilize one product that offers superior performance and economics without having to change your existing IT resources.
Posted: 21 Oct 2014 | Published: 31 Jul 2014

Violin Memory

The Case for Log Management Warehousing – An ESG Analyst Brief
sponsored by Hewlett Packard Enterprise
ANALYST BRIEF: As log management and analysis needs evolve, legacy products can’t scale, accommodate uncommon log file formats, or provide the right level of real-time or historical analysis. These requirements are driving a transition to a new model called log management warehousing.
Posted: 23 Mar 2010 | Published: 23 Mar 2010

Hewlett Packard Enterprise

eGuide: Should you take the road to SAP HANA?
sponsored by SAP America, Inc.
EGUIDE: Read this expert e-guide to uncover important points to consider about SAP's much-hyped, latest innovation, HANA, including ROI calculations, relevant use cases, best practices for use with ERP software, required skills for deployment, and more.
Posted: 02 Apr 2013 | Published: 02 Apr 2013

SAP America, Inc.

IBM: What we learned from data marts and consolidation
sponsored by IBM
INFORMATION CENTER: This blog post takes a closer look at data marts and how data warehouses evolved from them. Learn about the pros and cons of this technology as well as trends to expect for the future.
Posted: 26 Jul 2011 | Published: 18 Apr 2011

IBM