Data Management Strategies for the CIOEmail Alerts
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Qualcomm speeds up chip development with data virtualization software
An IT architect at Qualcomm discusses the chip maker's use of data virtualization tools and decision to embrace the logical data warehouse philosophy. Feature
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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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Quiz: Data warehousing technologies and trends
After you watch consultant Rick Sherman’s BI University classroom videos on data warehousing, take this short quiz to test your knowledge of data warehouse tools and best practices. Quiz
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Using the genetic programming approach to entity resolution
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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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Challenges data modelers face with enterprise data modeling techniques
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Developing high-quality data models
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Big data analytics firm offers insights into the U.S. Latino consumer
Luminar's Franklin Rios explains how his company is using Hortonworks' Hadoop distribution to deliver insights about the Latino community. News | 22 Apr 2013
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Big data technologies promise major advances in health and science
Big data analytics efforts are poised to improve everything from public health to particle physics, and people like Cloudera's Jeff Hammerbacher are leading the way. Intelligence File | 19 Apr 2013
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Gartner Magic Quadrant finds rising demand for data warehouse services
A look at the latest Gartner Magic Quadrant for Data Warehouse Database Management Systems and more data management news from around the Web. News Roundup | 27 Mar 2013
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Strata speaker calls for increased focus on data scientist education
Society should do more to encourage the next generation of data scientists, according to a speaker at last week's O'Reilly Strata Conference. Data Science Careers | 04 Mar 2013
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Strata speaker cites key characteristics for success in data science
Senior research scientist Rachel Schutt offers a rundown of the common traits shared by people who have been successful in the field of data science. Data Science Careers | 01 Mar 2013
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Strata 2013 attendees to explore big data and the business singularity
Speakers and exhibiting vendors offer an advance glimpse at this week's O'Reilly Strata Conference, including big data's impact on economies of scale. Strata Conference Preview | 25 Feb 2013
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Embrace 'big data' now or fall behind the competition, analyst warns
Wikibon.org analyst Jeff Kelly has a dire message for organizations that think they can ignore "big data": Your rivals might leave you in the dust. News | 22 Jun 2012
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Decision makers plan to spend big on 'big data' projects
Two surveys found that many companies are moving to become more data-driven and that "big data" initiatives are among the items on their to-do lists. News | 18 Jun 2012
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New GigaSpaces release promises 'big data' analytics in real time
The latest version of GigaSpaces XAP is designed to let users create their own real time "big data" analytics platform, and more big data news from around the Web. News | 18 May 2012
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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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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'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
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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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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 customer relationship management (CRM), predictive modeling is used to create a statistical model for future behavior. It's also used in email filtering systems to identify the probability that a given message is spam. Definition
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Enterprise Data World preview: Karen Lopez offers tips for data modelers
Enterprise Data World 2013 kicks off next week in San Diego. We talked to consultant and conference speaker Karen Lopez to find out what to expect. Podcast
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O'Reilly Strata conference tackles big topics in data science, Hadoop
The O'Reilly Strata conference was the place to be to learn about the role of the data scientist and big data technologies. Podcast
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Q&A: WhereScape Software on 'big data' management, data warehousing
Michael Whitehead, CEO and founder of WhereScape Software, discusses "big data" management challenges, gives tips on overcoming those obstacles and explains WhereScape's data warehousing strategy. Video
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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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Enterprise Data World preview: Karen Lopez offers tips for data modelers
Enterprise Data World 2013 kicks off next week in San Diego. We talked to consultant and conference speaker Karen Lopez to find out what to expect. Podcast
-
Big data analytics firm offers insights into the U.S. Latino consumer
Luminar's Franklin Rios explains how his company is using Hortonworks' Hadoop distribution to deliver insights about the Latino community. News
-
Big data technologies promise major advances in health and science
Big data analytics efforts are poised to improve everything from public health to particle physics, and people like Cloudera's Jeff Hammerbacher are leading the way. Intelligence File
-
Gartner Magic Quadrant finds rising demand for data warehouse services
A look at the latest Gartner Magic Quadrant for Data Warehouse Database Management Systems and more data management news from around the Web. News Roundup
-
O'Reilly Strata conference tackles big topics in data science, Hadoop
The O'Reilly Strata conference was the place to be to learn about the role of the data scientist and big data technologies. Podcast
-
Strata speaker calls for increased focus on data scientist education
Society should do more to encourage the next generation of data scientists, according to a speaker at last week's O'Reilly Strata Conference. Data Science Careers
-
Strata speaker cites key characteristics for success in data science
Senior research scientist Rachel Schutt offers a rundown of the common traits shared by people who have been successful in the field of data science. Data Science Careers
-
Qualcomm speeds up chip development with data virtualization software
An IT architect at Qualcomm discusses the chip maker's use of data virtualization tools and decision to embrace the logical data warehouse philosophy. Feature
-
Strata 2013 attendees to explore big data and the business singularity
Speakers and exhibiting vendors offer an advance glimpse at this week's O'Reilly Strata Conference, including big data's impact on economies of scale. Strata Conference Preview
-
Q&A: WhereScape Software on 'big data' management, data warehousing
Michael Whitehead, CEO and founder of WhereScape Software, discusses "big data" management challenges, gives tips on overcoming those obstacles and explains WhereScape's data warehousing strategy. Video
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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.