Data Management Strategies for the CIOEmail Alerts
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The analytical advantages of an enterprise data warehouse system
Learn about the potential benefits of an enterprise data warehouse system for analytics uses. Also, find out about the data security issues and cost considerations of large data warehouses. Book Excerpt
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Trends in entity resolution research and applications
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Entity resolution trends: Identity resolution in information hubs
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Dealing with association analysis, unstructured data in ER processes
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Integrating information quality and entity resolution
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Using the genetic programming approach to entity resolution
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Challenges data modelers face with enterprise data modeling techniques
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Limitations of entity relationship models in data modeling
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Developing high-quality data models
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Test time: What do you know about 'big data' technologies?
Take this short quiz to test your understanding of ‘big data’ technologies, use cases and management issues – plus get recommendations for additional reading on big-data topics. Quiz
- See More: Essential Knowledge on Data modeling tools and techniques
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Datachick gives 'big data' a verbal beat down at Enterprise Data World
"Big data" technologies took a verbal shellacking from consultant and well-known Twitterer Karen Lopez in an Enterprise Data World conference session. News | 02 May 2012
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Exploiting the power of a large enterprise data warehouse
Learn how to take advantage of a large enterprise data warehouse in this book excerpt. And find out how the proliferation of data sources, data volumes and queries affects data warehouse performance. Book excerpt | 02 May 2012
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'Big data' management debate: Buy tools now or fix data issues first?
Consultants and IT pros weigh in on whether users should invest in "big data" technologies or wait until they upgrade their data management processes. News | 16 Mar 2012
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TDWI Solution Summit: Business users increasingly driving MDM projects
Attendees and speakers at a TDWI event in Savannah, Ga., said that more business execs are pushing for master data management, even if they don’t realize that MDM is what they want. Conference Coverage | 09 Mar 2012
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'Big data' management changing the face of data warehousing
Gartner says the onslaught of “big data” is turning data warehouses into distributed data processing platforms. But Hadoop and other big data tools aren’t as widespread as you might think -- yet. From the Editors | 29 Feb 2012
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Gartner Magic Quadrant names Teradata the top data warehouse vendor
Teradata is the overall leader among data warehouse software vendors, followed by Oracle, IBM and three others, says a Gartner Magic Quadrant report. News | 15 Feb 2012
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Creating an enterprise data strategy: Manage your data as an asset
In a BeyeNetwork.com research report, TechTarget’s Wayne Eckerson details the key elements of an enterprise data strategy, starting with executive buy-in to the idea that data is a corporate asset. Report | 29 Nov 2011
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Skechers completes data warehousing project on a shoestring budget
The manager of business analytics at Skechers USA Inc. and TDWI Boston chapter members explain how to make data warehousing work when funds are tight. News | 30 Sep 2011
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Can't Inmon and Kimball just get along?
A longtime data management professional illustrates the synergies that exist between the Inmon and Kimball data warehousing methodologies. News | 15 Sep 2011
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Bill Inmon: Kimball methodology ignores the value of textual data
In an interview, data warehousing pioneer Bill Inmon states his case on the merits of his namesake methodology vs. Ralph Kimball's and discusses the "DW 2.0" version of the Inmon architecture. Q&A | 13 Sep 2011
- See More: News on Data modeling tools and techniques
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Why IT departments should consider a large data warehouse system
Find out how a large data warehouse system can benefit companies. Learn how enterprise data warehouses help meet business needs. Get tips on operational considerations for a central data warehouse. Book excerpt
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Introduction to Oracle design
An introduction to designing databases on Oracle. Tip
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Key issues to consider when building a data warehouse
There are numerous issues, both technical and cultural, that organizations need to consider before building a data warehouse. Learn what they are from our data warehousing expert. Answer
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How semantic modeling will change data modeling in the future
Find out how semantic modeling is changing data modeling and what the future holds for the use of semantic technologies in data modeling. Answer
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Role of a data architect in making data management project decisions
Learn about the roles of data architects when it comes to making data management project decisions. Answer
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Six tips for improving data warehouse performance
Get six expert tips for improving data warehouse performance. Learn how database engines, SSDs and MOLAP cubes can affect your data warehouse performance. Answer
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The truth about retail data modeling software
Find out if there are any high-quality retail data modeling software tools and if general-purpose tools in the data modeling market can help with retail data model projects. Answer
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Steps for converting a logical data model into a physical data model
Learn how to convert a logical data model into a physical data model via data modeling best practices. Find out how DDL and your data modeling practices play a role in conversions. Answer
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How to organize an enterprise conceptual data model development effort
Find out why it’s important and how to organize an enterprise conceptual data model development. Learn how a data governance organization can help your ECDM effort. Answer
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Data modeling tools: Best practices for selection and evaluation
Get best-practices advice and tips for choosing and evaluating data modeling tools. Also, learn how to define data modeling requirements and use your data governance council. Answer
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What are aggregate tables and aggregate fact tables?
Here you'll see examples and read definitions of aggregate tables and aggregate fact tables. You'll also learn how to use aggregate tables in data warehouses and databases. Ask the Expert
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What's the difference between DDL and DML?
What's the difference between DDL and DML? Get the answer and see examples of the Data Manipulation Language and Data Definition Language with help from our DBMS expert. Ask the Expert
- See More: Expert Advice on Data modeling tools and techniques
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dimension
In data warehousing, a dimension is a collection of reference information about a measurable event (fact). Definition
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conformed dimension
In data warehousing, a conformed dimension is a dimension that has the same meaning to every fact with which it relates. Definition
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star schema
In data warehousing, a star schema is the simplest form of dimensional model, with data organized into facts and dimensions. Definition
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snowflaking (snowflake schema)
In data warehousing, snowflaking is a form of dimensional modeling where dimensions are stored in multiple related dimension tables. Definition
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data modeling
Data modeling is the analysis of data objects that are used in a business or other context and the identification of the relationships among these data objects. Data modeling is a first step in doing object-oriented programming. Definition
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predictive modeling
In data mining, predictive modeling is a technique used to predict future behavior and anticipate the consequences of change. (Continued) Definition
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Top six data management software stories of 2011
From the rise of "big data" to office politics hampering MDM projects to Hewlett-Packard giving Neoview the ax, and more, there were plenty of notable data management stories in 2011. Photo Story
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Sacred cows of using data warehouse software – and how to tip them
In a video interview, consultant Evan Levy discusses what he calls the sacred cows of data warehousing and explains why such beliefs should be challenged within organizations. Video
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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. Podcasts
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Datachick gives 'big data' a verbal beat down at Enterprise Data World
"Big data" technologies took a verbal shellacking from consultant and well-known Twitterer Karen Lopez in an Enterprise Data World conference session. News
-
The analytical advantages of an enterprise data warehouse system
Learn about the potential benefits of an enterprise data warehouse system for analytics uses. Also, find out about the data security issues and cost considerations of large data warehouses. Book Excerpt
-
Why IT departments should consider a large data warehouse system
Find out how a large data warehouse system can benefit companies. Learn how enterprise data warehouses help meet business needs. Get tips on operational considerations for a central data warehouse. Book excerpt
-
Exploiting the power of a large enterprise data warehouse
Learn how to take advantage of a large enterprise data warehouse in this book excerpt. And find out how the proliferation of data sources, data volumes and queries affects data warehouse performance. Book excerpt
-
'Big data' management debate: Buy tools now or fix data issues first?
Consultants and IT pros weigh in on whether users should invest in "big data" technologies or wait until they upgrade their data management processes. News
-
TDWI Solution Summit: Business users increasingly driving MDM projects
Attendees and speakers at a TDWI event in Savannah, Ga., said that more business execs are pushing for master data management, even if they don’t realize that MDM is what they want. Conference Coverage
-
'Big data' management changing the face of data warehousing
Gartner says the onslaught of “big data” is turning data warehouses into distributed data processing platforms. But Hadoop and other big data tools aren’t as widespread as you might think -- yet. From the Editors
-
Top six data management software stories of 2011
From the rise of "big data" to office politics hampering MDM projects to Hewlett-Packard giving Neoview the ax, and more, there were plenty of notable data management stories in 2011. Photo Story
-
Gartner Magic Quadrant names Teradata the top data warehouse vendor
Teradata is the overall leader among data warehouse software vendors, followed by Oracle, IBM and three others, says a Gartner Magic Quadrant report. News
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Trends in entity resolution research and applications
guide
- See More: All on Data modeling tools and techniques
About Data modeling tools and techniques
Whether formal or informal, data modeling is an essential part of many corporate enterprise application development and data management projects. Browse a collection of data modeling resources to support data modeling tools and techniques and help with data modeling projects. Read including articles to help you evaluate data modeling software tools or get basic definitions and an introduction to the topic through tutorials and podcasts. Or, pose specific questions to data infrastructure modeling and data management experts.