Tactical Data Warehouse Development Reports

IBM Informix in hybrid workload environments (Bloor Research)
sponsored by IBM
WHITE PAPER: This white paper from Bloor Research examines how IBM's database Informix can be used in a hybrid transactional/analytics environment or for data warehousing applications in today's big data world.
Posted: 11 Dec 2013 | Published: 31 Aug 2012

IBM

Research report: SAP's Business Suite on Hana Will Significantly Impact SAP Users
sponsored by Hewlett-Packard Enterprise
WHITE PAPER: The following report from Gartner Research Inc. explores in detail the implications that face the business and its leaders in regards to the shift. Find out the various impacts of SAP HANA as well as top recommendations to make this transition as smooth as possible.
Posted: 13 Mar 2014 | Published: 13 Mar 2014

Hewlett-Packard Enterprise

Break the “Add More Nodes” Cycle: IBM Netezza data warehouse appliances allow your data infrastructure to scale
sponsored by IBM
WHITE PAPER: Data warehouse appliances have transformed the DW with a platform designed to deliver optimal price and performance with extreme simplicity. This paper outlines the IBM Netezza data warehouse appliance and how it offers extreme time to value, agility and ability to grow with new workloads, cost reduction of ongoing maintenance and more.
Posted: 05 Apr 2012 | Published: 14 Dec 2011

IBM

Data warehouse augmentation: the queryable data store
sponsored by IBM
WHITE PAPER: This white paper highlights how organizations can leverage big data to solve business challenges. It focuses on query-able data warehouses as a way to reduce costs and gain business insights. Discover how you can free up your data warehouse from processes slowing it down and disrupting revenue goals.
Posted: 06 May 2014 | Published: 31 Dec 2013

IBM

Expert tips, predictions and best practices for big data technology
sponsored by MarkLogic
EGUIDE: In this E-Guide, readers will learn the challenges big data poses for traditional analytics approaches, and best practices for success with this still emerging discipline.
Posted: 14 Mar 2012 | Published: 14 Mar 2012

MarkLogic

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

7 must-have capabilities of big data DBMS
sponsored by IBM
WHITE PAPER: Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
Posted: 07 Apr 2014 | Published: 28 Feb 2014

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

Own your process, own your information, own your business with SOA
sponsored by IBM
WHITE PAPER: This white paper details why building in business process management, information management and SOA governance across the enterprise is critical to SOA success. It also presents real-world examples of IBM customers that have done so and are now reaping the benefits of SOA, including service reuse, business agility and business transformation.
Posted: 07 Jul 2011 | Published: 01 Dec 2010

IBM

Presentation Transcript: Five Reasons to Offload Analytics from Your Data Warehouse
sponsored by ParAccel
PRESENTATION TRANSCRIPT: Traditional data warehouse infrastructure struggles to keep up with the expanding demand for a wide and changing variety of analytic workloads.  The result is growing frustration as end-users are forced to use sample data, aggregate data and even restricted in their access to information in standalone or enterprise data warehouses.
Posted: 06 Dec 2011 | Published: 06 Dec 2011

ParAccel