Tactical Data Warehouse Development Reports

MicroScope – July 2022: The slow march to Windows 11
sponsored by MicroScope
EZINE: It's taken a while, but the latest Microsoft OS is having an impact – read all about the journey to Windows 11, as well as the uptake of co-innovation and co-creation strategies in the channel, and Broadcom's acquisition of VMware
Posted: 30 Jun 2022 | Published: 01 Jul 2022

MicroScope

E-Book: Top Data Integration Trends and Best Practices
sponsored by IBM
EBOOK: Data integration software is now much more than just extract, transform and load tools – it encompasses a wide range of platforms and technologies. Read this e-book to learn about the trends and emerging best practices that are shaping the data integration process at leading-edge organizations.
Posted: 02 Dec 2010 | Published: 02 Dec 2010

IBM

The Future of Data Warehousing Infrastructure and Architectures
sponsored by IBM
EGUIDE: This e-guide examines how a shift from traditional data warehousing (DW) appliances to an infrastructure that combines traditional DWs with big data technologies offers new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos.
Posted: 13 Jul 2016 | Published: 11 Jul 2016

IBM

Developing a strategy for and implementing real time BI and analytics
sponsored by Birst
EGUIDE: Read this expert E-Guide and learn how to gain a stronger understanding of your customers and business as well as how to excel in today’s competitive market with real-time business intelligence (BI).
Posted: 12 Mar 2012 | Published: 09 Mar 2012

Birst

Data Warehousing Is Improved By Integrating Big Data Capabilities
sponsored by IBM
EGUIDE: Both big data and data warehousing systems experience increased performance when they work together. In this expert e-guide, uncover the importance of data warehouses' storage and organization abilities, and learn how they can be combined with the increased analytics power of big data systems to provide improved insights.
Posted: 20 Oct 2016 | Published: 20 Oct 2016

IBM

New Data Warehousing Strategies for Big Data
sponsored by HP & Intel®
EGUIDE: High-volume unstructured data has its own set of characteristics that often make it too difficult for traditional standalone and relational databases to process.  As a result, a major shift in big data warehousing is taking place, and this expert e-guide will cover how to be successful in tackling the challenges of new warehousing strategies.
Posted: 12 Mar 2013 | Published: 12 Mar 2013

HP & Intel®

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®

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

Driving information-led business innovation with IBM InfoSphere Information Server
sponsored by IBM
WHITE PAPER: This white paper identifies a shift in corporate thinking about the value of trusted information to the organization and outlines reasons why this shift is occurring. It explores common information integration challenges and outlines a list of key characteristics needed for an effective information integration solution.
Posted: 21 Nov 2011 | Published: 21 Nov 2011

IBM

Solution Spotlight: The Future of Data Warehousing Infrastructure and Architectures
sponsored by IBM
EGUIDE: This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos.
Posted: 22 May 2014 | Published: 22 May 2014

IBM