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Datawarehousing Reports
 
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

The Path to Payoff on Big Data Analytics
sponsored by SearchBusinessAnalytics
EBOOK: Before you can hope to reap the benefits of big data initiatives, it's important to strategize and plan -- the earlier, the better. In this exclusive guide, learn more about analytic deployments that can help you manage their big data quickly and easily to gain actionable insights.
Posted: 25 Apr 2014 | Published: 25 Apr 2014

SearchBusinessAnalytics

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

Cognos: BI: IBM Cognos Data Manager - Data integration for the last mile to BI
sponsored by IBM
WHITE PAPER: This white paper explores the major challenges associated with integrating data and the key processes and factors associated with developing a conformed, dimensional data warehouse solution.
Posted: 26 Feb 2015 | Published: 26 Feb 2015

IBM

Preparing Your Data Architecture for Big Data Analytics
sponsored by Hewlett-Packard Enterprise
EGUIDE: While big data can provide actionable insights to drive business value, your enterprise can't experience those benefits without the right data architecture in place first. In this e-guide, analytics expert Lyndsay Wise reveals the 4 crucial factors to keep in mind before embarking on a big data project.
Posted: 25 May 2016 | Published: 16 May 2016

Hewlett-Packard Enterprise

Building a Trusted SAP HANA Data Center
sponsored by Cisco and SAP
WHITE PAPER: In this comprehensive resource, explore a variety of hardware appliances that are SAP-approved as platforms for HANA. Discover how these appliances from Cisco, EMC, and VCE can benefit your SAP HANA implementation, and evaluate how they stack up against the five essential characteristics of a SAP HANA hardware platform.
Posted: 22 Apr 2014 | Published: 22 Apr 2014

Cisco and SAP

The Human Side of Big Data and High-Performance Analytics
sponsored by SAS
WHITE PAPER: The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.
Posted: 29 Apr 2014 | Published: 29 Apr 2014

SAS

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

Business Information ANZ September 2014
sponsored by SearchDataManagement
EZINE: The cover story in this ezine describes the journey taken by mobile company Skinny to make better use of information about customer habits.
Posted: 02 Sep 2014 | Published: 02 Sep 2014

SearchDataManagement

Understanding Insurance Industry Data Warehousing Challenges
sponsored by IBM
WHITE PAPER: Learn how enhancements in the areas of life insurance and workers' compensation help companies address economic and technological challenges. Plus, discover how to build an effective data warehouse that provides a flexible, scalable solution which enables the consolidation and integration of data.
Posted: 30 Jun 2016 | Published: 30 Nov 2014

IBM
 
 
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