News
News
- July 22, 2009
22 Jul'09
What does MapReduce and in-database technology mean for data warehouses?
By placing the analytic logic inside the data warehouse, in-database technology, including open source MapReduce, can quickly process large sets of Web-based data.
- July 02, 2009
02 Jul'09
Evaluating and selecting a master data management (MDM) vendor
Learn how to compare and select a master data management (MDM) vendor. Hear about common MDM mistakes, how to write a streamlined vendor request for proposal (RFP) and how to evaluate customer reference letters.
- June 22, 2009
22 Jun'09
Data models serve as blueprint for business intelligence, master data management projects
No business intelligence or master data management initiative should start without a well-designed data model to guide the project.
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- June 09, 2009
09 Jun'09
MDM building blocks from Gartner: governance, metrics key to success
Before embarking on a master data management (MDM) initiative, organizations must lay the foundation for success, including developing data governance rules and business-centric metrics to measure results.
- June 09, 2009
09 Jun'09
Data warehouse architecture: Beyond hub-and-spoke
Hear a hub-and-spoke definition and learn about challenges surrounding hub-and-spoke architecture. Know all the issues and details before implementing a hub-and-spoke design and hear how data governance plays a role in the hub-and-spoke model.
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Sponsored News
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Choosing the Right Cloud Storage Infrastructure for Improved Risk Management
Sponsored by NetApp - The growing ubiquity of cloud storage has been accelerated substantially by a variety of factors, not the least of which has been the COVID-19 pandemic that has spiked cloud usage to complement, and in some cases even replace, on-premises storage. But with that growth of cloud storage has come a commensurate increase in risk as more data is in transit. See More
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Connecting and Integrating With the Public Cloud
Sponsored by NetApp - Cloud computing is now a hallmark of all enterprise IT strategies, and public cloud computing has become one of the most transformative factors in the entire enterprise computing landscape. By 2023, global expenditures on public cloud computing will exceed $1.1 trillion by 2023, representing a 6-year compound annual growth rate of nearly 24%. See More
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Enabling Business-Critical Apps For a Distributed Environment
Sponsored by NetApp - Supporting distributed workforces with essential applications, until recently a concern primarily for larger enterprises, is now a fact of life for nearly all organizations. The global e-commerce movement has dramatically expanded organizations’ ability to do business in any region of the world, typically necessitating local workforces for such functions as support, service and marketing. And the COVID-19 pandemic put an exclamation point on one of the most transformative issues of commerce—remote work. See More
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Optimizing Your Cloud Storage Spending For Hybrid Cloud Environments
Sponsored by NetApp - Most organizations know that hybrid cloud’s many benefits extend far beyond financial factors. Agility, flexibility and scalability are just some of the most attractive features of hybrid cloud, as well as the ability to move workloads from on-premises to the cloud and back, or from cloud to cloud. In fact, these and other benefits have driven most organizations to adopt hybrid cloud as part of their overarching IT service delivery strategy. See More
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- April 13, 2009
13 Apr'09
Open source data integration tools good choice for 'standard' ETL jobs
Open source data integration tools and software could be the best choice for companies looking to keep costs low in standard extract, transform and load (ETL) scenarios.
- March 30, 2009
30 Mar'09
Data federation technology complements fragmented data warehouses
Data federation software, which integrates data straight from the source, can help fill the gaps left by fragmented departmental data warehouses.
- March 04, 2009
04 Mar'09
Normalization is Impractical for Master Data
Master data tables seem to be particularly sensitive to the limits of normalization, and Malcolm Chisholm believes that a reflexive attachment to normalization can be counterproductive.
- February 25, 2009
25 Feb'09
Data quality management roadmap
Jeff Pettit explains how to reap the benefits of highly productive data for years to come.
- February 17, 2009
17 Feb'09
Data Cleansing
The hard reality is that always problematic and often costly data anomalies do exist. Will Dwinnell explains why it is helpful to have a tool to automatically ferret out a substantial fraction of those anomalies.
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- January 26, 2009
26 Jan'09
How to get started with master data management
Forrester Research's Rob Karel reveals his tips for starting a master data management (MDM) initiative, including how and when to start evaluating vendors.
- November 06, 2008
06 Nov'08
Motivations for building the data warehouse
Bill Inmon provides a review of the factors that motivate organizations to build corporate data warehouses.
- November 05, 2008
05 Nov'08
Exec explains IBM's Information On Demand (IOD) initiative
Listen to IBM's Steve Mills discuss Big Blue's Information On Demand initiative and why he thinks it's in a better position to help customers than rival Oracle.
- October 30, 2008
30 Oct'08
Monitoring the data warehouse
Bill Inmon looks at dormant data in the data warehouse and provides suggestions for addressing data warehouse performance.
- July 21, 2008
21 Jul'08
Creating successful data stewardship programs, with Jill Dyché
Learn how data stewardship fits into data governance and data quality management programs, from Jill Dyché.
- June 05, 2008
05 Jun'08
Master data management must start with data governance
An effective master data management project starts with managing people and processes, including data governance. The technology is secondary.
- May 27, 2008
27 May'08
Data quality assessment helps identify, fix data quality problems
Data quality problems can't be fixed until they are identified. Learn how a data quality assessment can help pinpoint data quality problems.
- May 08, 2008
08 May'08
A brief history of ETL
"Do you remember the spread of data warehousing through the public and then private sectors? The IPO of Prism Solutions? This article takes a look at the history of ETL and provides a glimpse into ETL's future."
- April 30, 2008
30 Apr'08
Is Data Warehousing Essential to Business Intelligence?
The role of data warehousing is changing as companies move toward using new business intelligence approaches.
- April 10, 2008
10 Apr'08
Why Are Data Warehouses Growing So Fast?
Richard Winter provides observations on the causes and effects of the explosion of digital information.
- March 15, 2008
15 Mar'08
The simplicity and complexity of person name standardization
There are many different kinds of standardizations that can be applied to data, especially individual data.
- January 22, 2008
22 Jan'08
Active data warehousing explained and examined
Active data warehousing brings business intelligence to more operational decision-making processes. Find out how, and why, active data warehouses enable competitive advantages.
- January 10, 2008
10 Jan'08
Building a business case for data modeling
A business case for data modeling requires using the levers of better data quality, improved applications and reduced data management costs.
- December 20, 2007
20 Dec'07
How long should the data model take?
There are several approaches for data modeling to ensure that the length of time spent in model development is appropriate for the organization.
- December 11, 2007
11 Dec'07
Data migration planning: Key things to remember
Putting together a comprehensive data migration plan now can help firms avoid serious downtime later, according to experts.
- November 28, 2007
28 Nov'07
Nationwide Insurance implements master data management program
Nationwide Insurance shares master data management (MDM) best practices in this case study podcast and provides an architectural diagram.
- October 24, 2007
24 Oct'07
Understanding master data management (MDM) implementation styles
Rick Sherman explains the three styles of master data management (MDM) -- operational, analytical and enterprise - and how to select a style and get started.
- October 11, 2007
11 Oct'07
Software Quality Assurance in a Data Warehouse/Business Intelligence Environment
Quality assurance in a data warehouse/business intelligence environment requires testing of the population process, not the user interface provided by the tool vendor.
- October 11, 2007
11 Oct'07
Data warehouses and scalability
Is a data warehouse really necessary? What business requirements indicate the need for a data warehouse?
- September 20, 2007
20 Sep'07
Quality goals for data warehousing
Carried to an extreme, quality can be a real enemy to progress.
- September 13, 2007
13 Sep'07
What is metadata? Solutions for leveraging technical and business metadata
This article introduces Lowell Fryman's Metadata Expert Channel where he will provide insights and solutions on the capture, governance, management, usage, and dissemination of metadata to enhance your organization's knowledge and effectiveness.
- August 30, 2007
30 Aug'07
The exploration warehouse
The exploration warehouse is a physically separate data warehouse designed to provide a place for statisticians to do processing as frequently as desired, without impacting the regular users of the data warehouse.
- July 18, 2007
18 Jul'07
Data governance: How to get started and find success, featuring Jill Dyché
Data governance, or lack thereof, can make or break many enterprise programs. Learn data governance program success factors and get advice in a podcast with expert Jill Dyché.
- June 21, 2007
21 Jun'07
Key Data Entities and Data Governance
This article considers two challenging aspects of enterprise information management: key data entity ownership and data quality management.
- May 15, 2007
15 May'07
Data management podcast library
SearchDataManagement.com's growing collection of podcasts features conversations about many aspects of data management, including business intelligence (BI), enterprise data integration (EDI), master data management (MDM), and data quality and ...
- April 03, 2007
03 Apr'07
Building a Customer-Centric Data Warehouse
A major focus for retailers is getting a better understanding of the behavior of their customers. Learn how to build a customer-centric data warehouse from key analytic and data subject areas.
- February 08, 2007
08 Feb'07
Different stages of data warehouse maturity
This article covers the stages of data warehousing from the data mart through the enterprise data warehouse.
- January 24, 2007
24 Jan'07
Data quality trends, with expert Larry English
Data quality tools and processes have changed dramatically, so keep up with the latest data quality trends. Renowned expert Larry English provides timely advice for your data quality strategy.
- December 19, 2006
19 Dec'06
Enterprise Architecture in Banking
This article is a continuation in the series on enterprise architecture.
- December 18, 2006
18 Dec'06
Accuracy, Sampling and the Accuracy of Sampling
Manually verifying data accuracy is bound to introduce errors. Therefore, sampling can be used to derive some conclusions about a large body of information by selecting a smaller number of instances for the purposes of inferencing.
- November 27, 2006
27 Nov'06
The relationship between master data and business intelligence analytical processing
In a business intelligence environment, the master data documents how business information has changed over time, and this historical master data can be combined with other historical business transaction data to produce analytical reports.
- November 17, 2006
17 Nov'06
Data governance requires checks and balances, Gartner says
Gartner predicts that 90% of organizations will fail at their first attempts at data governance. An analyst outlines a data governance structure that includes checks and balances.
- October 26, 2006
26 Oct'06
The Nature of Unstructured and Semi-Structured Data, Part 1
The purpose of this series is to present and discuss unstructured and semi-structured data as it relates to DW 2.0 - the architecture for the next generation of data warehousing.
- October 03, 2006
03 Oct'06
Lessons in Data Warehousing from Walt Disney and His Magic Kingdom
Walt Disney and his Magic Kingdom can serve as sources of inspiration for data warehousing adventures. The two have more in common than you might think.
- September 26, 2006
26 Sep'06
Metadata-Driven Enterprise Data Management – Future or Fantasy?
A metadata-driven methodology for EDM allows all components to share information about the data as it moves through its life cycle, thereby enabling consistency, accountability and true control of data assets.
- September 21, 2006
21 Sep'06
Data confidence
Data confidence, a critical management success factor, is not automatic. How do you attain it?
- August 10, 2006
10 Aug'06
Data modeling and unstructured data
The data model has long been recognized as one of the essentials in the structured environment, but do we need a data model for the unstructured environment as well?
- August 02, 2006
02 Aug'06
SQL Server vs. MySQL: Syntax differences, similar GUIs
Discover syntax differences between SQL Server and MySQL, code for a timestamp automation workaround and why it's important to keep your version of MySQL current.
- July 17, 2006
17 Jul'06
Understanding the DBA job description: Database administrator's roles and responsibilities
Confusion over the DBA's job description and their role in business often results in misusing their DBA job skills.
- July 14, 2006
14 Jul'06
Database management best practices: Expert tips for improving DBMS infrastructures
Database management best practices involve optimizing people, processes and products. Get specific actions and expert tips.
- July 05, 2006
05 Jul'06
Seven master data management best practices
Master data management's early adopters share best practices and potential pitfalls.
- May 16, 2006
16 May'06
Retail Data Warehouse
Use your retail data warehouse to get a view of your business from the perspective of your customers.
- March 28, 2006
28 Mar'06
Bioinformatics in Structure-Based Drug Design
Bioinformatic tools aid in the design of novel drug compounds.
- March 16, 2006
16 Mar'06
An introduction to DW2.0
The new architecture for data warehousing addresses mission-critical areas.
- March 14, 2006
14 Mar'06
Can Toad for Oracle compete against Oracle's free SQL Developer?
Oracle's newly released free SQL Developer could spell trouble for Quest Software Inc.'s popular Toad for Oracle software.
- February 22, 2006
22 Feb'06
IBM DB2 and Master Data Management
Over the past year, master data management has become a topic of interest to CIOs seeking to rationalize their enterprise information architectures. What is master data management? And what role can DB2 play in making master data management a ...
- December 06, 2005
06 Dec'05
Certified Data and the Certification Process for Financial Institutions
Legislative & regulatory initiatives can now drive financial institutions to aggregate data and build data management infrastructures on a much larger scale.
- September 22, 2005
22 Sep'05
A history of database evolution
The database is the precursor of the data warehouse and data mart, with its future pointing to unstructured data and archival and nearline processing.
- August 18, 2005
18 Aug'05
Data marts as the basis of a data warehouse: Can this structure work?
There is a case to be made for management to process and react to data slowly, not quickly.
- June 30, 2005
30 Jun'05
Data warehousing and statistical processing
The data warehouse is not the ideal data environment for the statistician.
- June 30, 2005
30 Jun'05
Cheat sheet: 10 ways to prep for auditors
There are 10 ways to prepare for those auditors knocking at your door -- and avoid wasting time and money.
- April 14, 2005
14 Apr'05
Data Warehousing: Our Great Debate Wraps Up
This last article will summarize our key debate points. reader feedback and answers to questions that have been received will be published in the blog.
- March 22, 2005
22 Mar'05
Practical Data Quality for Financial Services
With a Data Governance Entity in place and quality raised as a top-tier issue, the question now becomes how to fix data quality problems.
- March 09, 2005
09 Mar'05
Data Warehouse Architecture: The Great Debate
Inmon Vs. Kimball--Differences Between Industry Titans.
- February 16, 2005
16 Feb'05
How many DBAs?
Craig Mullins offers tips for DBA staffing.
- February 15, 2005
15 Feb'05
Open source database systems
Craig Mullins contemplates the role of open source database systems in the enterprise.
- February 09, 2005
09 Feb'05
Continental Airlines builds real-time data warehouse
A Continental Airlines business intelligence project brought together 15 data warehouse developers in a mission that seemed impossible, but resulted in more revenues, less waste and higher customer satisfaction.
- January 06, 2005
06 Jan'05
Data warehousing for government
Surprisingly, Data Warehouses have been slow to be adopted in the government circles.
- November 09, 2004
09 Nov'04
Corporate Information Factory (CIF): The value of a conceptual architecture for BI
This CIF architecture acts as a road map or plan guiding the IT developer in implementing a Business Intelligence environment.
- October 25, 2004
25 Oct'04
Top 10 Business Intelligence Applications for Clinical Healthcare
This article describes how business intelligence applications enable organizations to meet the onslaught of demands for current and accurate information on performance, quality, safety, efficiency, effectiveness and, of course, costs.
- July 19, 2004
19 Jul'04
Data warehousing: building the foundation
New and powerful tools will help load and refine information, but you must still develop a strategy to build the optimal data warehouse to use them.
- May 20, 2004
20 May'04
Contract compliance is a Sarbanes-Oxley issue
Contract compliance