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

Apache Hadoop* Framework Spotlight: Apache Hive*
sponsored by Intel
WHITE PAPER: This brief resource examines the true value of Apache Hive, a SQL engine for the Apache Hadoop framework. Inside, learn how Hive's facilities for data and metadata management are impacting the existing warehouse infrastructure and driving business success.
Posted: 29 May 2013 | Published: 31 Mar 2013

Intel

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

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

Creating An Integrated BI And Data Warehousing Architecture For Effective Management Of Analytical Workloads
sponsored by Teradata
PRESENTATION TRANSCRIPT: Traditional business intelligence (BI) tools no longer cut it in the era of big data analytics as workloads and data requests continue to grow in complexity. Attend this exclusive webcast to learn the benefits of leveraging an integrated BI and data warehouse architecture to meet the increasingly-complex demands of the modern enterprise.
Posted: 18 Oct 2012 | Published: 18 Oct 2012

Teradata

Measuring The Total Economic Impact Of IBM InfoSphere Information Server
sponsored by IBM
WHITE PAPER: IBM commissioned Forrester Consulting to examine the total economic impact and potential ROI enterprises may realize by deploying IBM InfoSphere Information Server. Read on to learn the findings of this study and find out what the total economic impact of IBM Infosphere Information Server.
Posted: 24 Feb 2011 | Published: 24 Feb 2011

IBM

Data Quality Considerations in Master Data Management Structure
sponsored by Pitney Bowes Group 1 Software
WHITE PAPER: This white paper discusses the challenges, solutions and importance of data management consolidation within an organization.
Posted: 13 Sep 2011 | Published: 13 Sep 2011

Pitney Bowes Group 1 Software

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

Hadoop Deployments: Maximizing Efficiency for Big Data Analytics
sponsored by IBM
EGUIDE: Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.
Posted: 28 Jul 2016 | Published: 26 Jul 2016

IBM