Tactical Data Warehouse Development Reports

Best practices in Oracle Data Warehousing
sponsored by ParAccel
EGUIDE: With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.
Posted: 17 Jan 2013 | Published: 10 Jan 2013

ParAccel

E-Book: Getting Started with Master Data Management (MDM)
sponsored by IBM
EBOOK: In this E-Book, learn about getting started with MDM programs, including how to sell the idea internally in order to secure funding and how to build a foundation for a successful MDM deployment. In addition, read about MDM trends and some of the challenges that companies can face on MDM implementations.
Posted: 02 Dec 2010 | Published: 02 Dec 2010

IBM

Faster, Higher, Stronger: In-Memory Computing Disruption and What SAP HANA Means for Your Organization
sponsored by SAP America, Inc.
WHITE PAPER: Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Posted: 28 Nov 2011 | Published: 28 Nov 2011

SAP America, Inc.

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

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

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

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

E-Guide: Best practices for managing the data warehouse to support Big Data
sponsored by SAP America, Inc.
EGUIDE: This e-guide focuses on how to develop a foundation, including a discussion of when to update older technologies or modify a current data warehouse architecture to match today's new requirements.
Posted: 11 Oct 2011 | Published: 11 Oct 2011

SAP America, Inc.

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

Understanding Oracle business intelligence and analytics
sponsored by ParAccel
EGUIDE: In this SearchOracle.com expert e-guide, read a Q&A that dives into the topics covered at the annual summit held this January by the business intelligence (BI) special interest group within the Independent Oracle Users Group (IOUG), including  advanced Oracle analytics, connectors to Hadoop, the R statistical programming language, and big data.
Posted: 17 Jan 2013 | Published: 10 Jan 2013

ParAccel