Data Warehousing Techniques

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Cost Effective Techniques for Designing the Data Warehouse by Embarcadero Technologies, Inc.
A cost effective data warehouse project doesn't have to be an oxymoron. Rather than committing to a full-fledged waterfall style approach, it is possible to build a data warehouse incrementally and inexpensively, while at the same time preserving high-level
New Data Warehousing Strategies for Big Data by HP & Intel®
its challenges.

In this expert e-guide, learn about the difficulties associated with new big data warehousing techniques and how to overcome them, the role that distributed computing plays in big data management, how to avoid pitfalls like management oversight, and much more.

To Learn about the HP Discover 2013 event in Las Vegas, click here

http://h30614.www3.hp.com
E-Guide: Best practices for managing the data warehouse to support Big Data by SAP America, Inc.
data warehouse architecture to match today's new requirements.

The new challenge for IT and data warehousing teams today is how to leverage existing technology investments along with emerging tools and techniques to manage this vast amount of information - big data. Before leveraging big data, your organization must put in a solid data
Best Practices for a Data Warehouse on Oracle Database 11g by Oracle Corporation
In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process.

Increasingly companies are
BI Without a Data Warehouse? An Effective Strategy for Midsize Companies by IBM
business intelligence (BI) but concerned about having to build an expensive and time consuming data warehouse? 

A new generation of BI solutions now makes it easy for midsize companies to take on reporting, analysis, dashboarding, scorecarding, planning, budgeting and forecasting projects without spending a fortune. 

Join us for this
Microsoft® SQL Server® 2008 R2 Parallel Data Warehouse and Fast Track Data Warehouse Run on Intel® Xeon® Processors by Intel and Microsoft
Microsoft and Intel are now ready to help organizations turn a new page in data warehousing. Using Microsoft® SQL Server® 2008 R2 Enterprise, you can now quickly deploy small data warehouses or data marts with the Microsoft Fast Track Data Warehouse option.

 

Data warehouses are essential to providing employees fast access to the
E-Guide: Maximizing your Storage Capacity: Data Reduction Techniques and Performance Metrics by IBM
This e-guide will explore the challenges of data reduction, three data reduction techniques and how to choose the best technique for your data storage environment. Continue reading this e-guide to learn how to maximize your storage capacity.

Data reduction technologies include
Breaking the Data Integration Bottleneck: Accelerating DW, BI, MDM, CDI, and CPM Operations by Innovative Routines International, Inc.
The fundamental processes in data integration continue to present challenges to enterprises, not because the fundamentals have changed, but rather that expectations for data volumes to support reporting and analysis continue to increase. The fundamental processes in
Data warehousing technology trends by HP
performance improvements. In this e-book, get an update on the most important trends in data warehousing, including appliance technology, columnar databases, in-database analytics and more. This eBook provides information for:

  • Selecting the right data warehouse platform for their organization
  • Learning about the potential uses and
E-Book: Data Warehousing Technology Trends by HP
performance improvements. Read this e-book to get an update on the most important trends in data warehousing, including appliance technology, columnar databases, in-database analytics and more.

Data warehouses are no longer simple decision-support databases fed by batch extract, transform and load (ETL) processes. They’ve evolved into dynamic
The Unique Requirements of Product Data Quality by Silver Creek Systems
TDWI explores traditional approaches to data quality, which focus on well structured data, and shows why these do not work with less structured product data. Read about Product Data's unique requirements and how to address them. The majority of data quality software implementations
Extract Data from the Cube by Microsoft Corporation India Pvt Ltd
In this webcast, you will learn how to extract multidimensional data from the cube, once the cube is ready. Amit Bansal will show you various tools and techniques to extract data from the cube using Excel 2007, SQL Server Reporting Services & MDX scripting.

In this webcast, you will learn how to extract

A New Dimension to Data Warehousing: 2011 IOUG Data Warehousing Survey

 by Oracle Corporation
Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".

By now, you should be well aware that “big data” is taking the industry by storm, and many organizations can’t seem to figure out a way to get a handle on it. Currently undergoing its
E-Book: How to Evaluate Data Warehouse Appliances by Sybase, an SAP company
for organizations seeking to increase revenues and cut costs, but these systems often require a data warehouse to feed them correct and relevant information. This E-Book provides detailed expert advice on how to evaluate, select and prepare your organization for a data warehouse appliance.

Business Intelligence and analytics remain top
E-Book: Navigating the Data Warehouse Appliance Selection and Purchase Process by Oracle Corporation
In this E-Book, IT and data warehousing professionals and business executives involved in data warehouse purchases will get an overview of data warehouse appliance trends and practical advice on how to evaluate and choose the right appliances for their organizations.

Data
Business-Model-Driven Data Warehousing: Keeping Data Warehouses Connected to Your Business by Kalido
This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence. The quality of Business Intelligence (BI) depends mostly on the available
Can Data Warehousing Survive Big Data by Arrow and HP
discussed in the webinar is "Will data warehouses survive much longer?"

For more than 25 years, data warehousing based on sound information management principles has been the accepted architecture for providing information to support decision makers. ―Big data, however one defines its characteristics, challenges many of the underlying
Customer data analytics best practices from top performers by IBM
s.


Organizations are challenged in a number of areas in effective utilization of customer data analytics. However, it is not surprising to find top performing companies are more mature in their use of customer data analytics techniques when leveraging customer information.

In this expert e-guide, gain access to the best practices
Presentation Transcript: Data Warehousing Basics for SQL Server Analysis Services by Flowerfire, Inc.
In this transcript of the "Data Warehousing Basics for SQL Server Analysis Services" webcast, learn how to build your data warehouse for your SQL Server environment. Discover the necessary steps involved and learn about major concepts, including relational data warehousing and
Event Data Warehousing by Sensage, Inc.
This white paper describes that data warehousing should not necessarily be the basis upon which companies retain and query historic data for prolonged periods. There are good arguments in favour of treating the long-term retention of event and similar data in an event warehouse as
Simple is Better: Overcoming the complexity that robs traditional data warehouses of their full potential by IBM
Access this white paper to discover a simple approach to data warehousing that is guaranteed to be easy to learn, operate, and own. Traditional data warehousing technologies are complicated and expensive, and actually distract users from focusing on the data. Learn the 10 benefits of a simplistic data warehousing
Building a Trusted Warehouse: IBM InfoSphere software and IBM Netezza data warehouse appliances by IBM
paper explores the features and benefits of IBM Infosphere Information Server and IBM Netezza data warehouse appliances, including risk reduction, increased performance, quicker growth and more.

IBM InfoSphere data integration software and IBM Netezza data warehouse appliances work together to deliver breakthrough analytics
Oracle Database 11g Release 2 for Data Warehousing and Business Intelligence by Oracle Corporation
This white paper provides an overview of Oracle’s capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.

Oracle
Navigating the data warehouse appliance selection and purchase process by Oracle Corporation
technology are further complicating things for prospective buyers.

In this eBook, IT and data warehousing professionals and business executives involved in data warehouse purchases will get an overview of data warehouse appliance trends and practical advice on how to evaluate and choose the right appliances for their organizations. Learn
Navigating the data warehouse appliance selection and purchase process by Oracle Corporation
technology are further complicating things for prospective buyers.

In this eBook, IT and data warehousing professionals and business executives involved in data warehouse purchases will get an overview of data warehouse appliance trends and practical advice on how to evaluate and choose the right appliances for their organizations. Learn
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Related Expert Advice
There are no shared facilities between WebSphere and CICS by Robert Crawford
work with CTS 2.,3).

The closest type of integration is at the application level via EJB usage. That, at least, gives you a UnitOfWork that spans the two environments and essentially removes the boundary between the two systems (as far as programming things in Java is concerned).

Robert Harris
More...

Nov 5, 2003
Distributed data by Robert Crawford
not lend itself to very efficient integration.

So, where's the question in this? I'll ask it this way, "Why not move the data to the mainframe?" An interesting comment. Coming from the background that I undoubtedly do, I think that data should always be accessible from any platform.

I know that the More...
Aug 11, 2003
What are the options for turning a CICS screen into a GUI screen? by Robert Crawford
www.redbooks.ibm.com):- IBM Web-to-host Integration Solutions (SG24-5237)
Revealed! Architecting Web Access to CICS (SG24-5466)
Despite their titles these books cover techniques that have wider applicability than just Internet access.

Migration from CICS TS V1.3 to CICS TS V2.2 is relatively More...

Jun 27, 2002