Data Warehousing Reports

Computer Weekly - 9 November 2021: How a cloud-first strategy helped save animals in the pandemic
sponsored by TechTarget ComputerWeekly.com
EZINE: In this week's Computer Weekly, we talk to the RSPCA about how its cloud-first strategy helped to save animals throughout the pandemic. Data warehouses have been part of the IT landscape for 30 years – but are they now old technology, and what's next? And we assess how Brexit has affected risk and resilience in the datacentre. Read the issue now.
Posted: 08 Nov 2021 | Published: 09 Nov 2021

TechTarget ComputerWeekly.com

Game Changing Performance with SAP In-Memory
sponsored by Cisco and SAP
EGUIDE: SAP HANA promises to be a game changer in the business intelligence (BI) and analytics space. However, some organizations remain skeptical of the benefits of investing in yet another technology to accelerate analytics. This e-guide puts those doubts to rest with an in-depth look at how to build a business case for in-memory computing and SAP HANA.
Posted: 30 Apr 2014 | Published: 30 Apr 2014

Cisco and SAP

Discover How Big Data Hadoop Solutions Compare
sponsored by IBM
WHITE PAPER: Find out how 9 different big data Hadoop solutions compare to one another, and learn about the various vendors and differentiated features of each option.
Posted: 03 Jul 2014 | Published: 27 Feb 2014

IBM

The Technology of the Business Data Lake
sponsored by Pivotal
WHITE PAPER: This white paper discusses an approach other than enterprise data warehouses (EDWs) to meet organizations reporting and operational needs.
Posted: 05 May 2014 | Published: 31 Dec 2013

Pivotal

Use Analytics to Innovate and Lead in Today's Banking Environment
sponsored by IBM
WHITE PAPER: Banks are bringing together big data projects, transactional processing, data warehousing and analytic tooling. Find out how IBM DB2 for z/OS and DB2 Analytics Accelerator in an IBM zEnterprise environment can help.
Posted: 22 Apr 2014 | Published: 31 Mar 2014

IBM

TechTarget Solution Spotlight: Big Data Challenges & Pitfalls
sponsored by IBM
EGUIDE: Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
Posted: 05 Dec 2014 | Published: 05 Dec 2014

IBM

Buyer's Guide: Hadoop Offers Economical Options for Managing Big Data
sponsored by TechTarget Data Management
EBOOK: There's more to Hadoop than meets the eye. Along with its core components, there are a whole slew of related software tools packaged by vendors into commercial Hadoop distributions. In this expert Hadoop software tool buyer's guide, learn about features and functionalities, and economical options for managing and analyzing big data in Hadoop.
Posted: 20 Jan 2016 | Published: 20 Jan 2016

TechTarget Data Management

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

The Next Wave of Data Management : Is Big Data The New Normal?
sponsored by Talend
WHITE PAPER: The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
Posted: 28 Jul 2014 | Published: 28 Jul 2014

Talend

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