Data modeling tools and techniques
Top Stories
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Tip
30 Dec 2021
Top 5 elements needed for a successful data warehouse
While conventional data warehouses may struggle to keep up with growing volumes of data, these five elements best give the ability to tap into valuable BI. Continue Reading
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News
26 Oct 2021
Teradata and H2O.ai partner on multi-cloud platform
The partnership between the open source AI vendor and veteran data service provider demonstrates the emphasis enterprises are now placing on the data in their AI systems. Continue Reading
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News
26 Oct 2021
Teradata and H2O.ai partner on multi-cloud platform
The partnership between the open source AI vendor and veteran data service provider demonstrates the emphasis enterprises are now placing on the data in their AI systems. Continue Reading
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Feature
31 Mar 2021
Why consider an open source data catalog
Enterprise data catalogs offer organizations plenty of benefits with metadata management and data organization. Find out why some enterprises choose open source data catalogs. Continue Reading
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Feature
30 Mar 2021
How a DataOps pipeline can support your data
DataOps has created a lot of hype as a data management pipeline because of its focus on collaboration and flexibility. Read on to find out how these priorities support your data. Continue Reading
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News
21 Jan 2021
Kyligence builds out data cloud for OLAP and big data
Kyligence is advancing the Apache Kylin project with a cloud-native offering that can help organizations more efficiently execute and manage data queries against large data sets. Continue Reading
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News
08 Jan 2021
Starburst raises $100M as PrestoSQL rebrands as Trino
Starburst is advancing its enterprise data platform with new funding that will help advance its cloud efforts around the open source Trino query engine formerly known as PrestoSQL. Continue Reading
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News
03 Sep 2020
Alteryx 2020.3 highlighted by one-click data modeling tool
New no-code data modeling and new text mining capabilities are featured in the latest platform update from Alteryx, which the vendor unveiled for general availability on Sept. 1. Continue Reading
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Tip
29 Jul 2020
10 types of biases that affect customer data analysis
Analytics can help businesses make data-driven decisions, but common cognitive biases can skew how organizations interpret the information and CX. Continue Reading
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Feature
20 Feb 2020
3 of the top use cases for graph databases
Graph databases establish many unique relationships between data points. These unusual relationships are beneficial in many use cases, but here are the top three. Continue Reading
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Feature
13 Jan 2020
Analytics demands add loftier goals to data warehouse strategies
As the concept of storing data and the technologies needed to do it evolve, companies with set goals in mind are building their data warehouses to maximize analytics outcomes. Continue Reading
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Feature
10 Dec 2019
Building enterprise-grade AI: Sberbank and AI Telekom
Machine learning and artificial intelligence are growing beyond adolescence to prove business value. Practical applications at Sberbank and AI Telekom suggest getting machine learning data in one place, where data scientists can experiment Continue Reading
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Feature
11 Nov 2019
Managing unstructured data is crucial to enterprises' AI goals
Unstructured data makes up a huge portion of most businesses' data volume. But, with data-hungry AI systems coming online, making sense of these stores has never been more important. Continue Reading
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Feature
27 Jun 2019
Data modeling techniques to overcome common business challenges
In this interview, author and data modeling instructor Steve Hoberman discusses techniques for dealing with challenges that may arise in the data modeling process. Continue Reading
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Feature
09 May 2019
Data modeling software tackles glut of new data sources
Data modeling platforms are starting to incorporate features to automate data-handling processes, but IT must still address entity resolution, data normalization and governance. Continue Reading
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Feature
30 Apr 2019
Data model design tips to help standardize business data
Data models should be understandable to business users and kept to a reasonable scope, say the leaders of a data modeling initiative at England's Environment Agency. Continue Reading
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News
21 Mar 2019
Machine learning approaches gain critical mass for data pros
Machine learning will bring change to analytics and data management, said data luminary Michael Stonebraker. Others agree managing such change will take special effort. Continue Reading
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Feature
23 Jan 2019
Advantages of graph databases: Easier data modeling, analytics
Graph databases are finding a place in analytics applications at organizations that need to be able to map and understand the connections in large and varied data sets. Continue Reading
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Feature
16 Jan 2019
Southern Water’s centralised data team geared for silo busting
Southern Water has centralised its data specialists and overhauled its data management and business intelligence technology to support business decision-making at scale Continue Reading
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News
18 Dec 2018
Datawatch Swarm on path to combine data prep, analytics
Datawatch plans to add analytics and data visualization tools to its Swarm data preparation platform, starting with integration capabilities in a Swarm 2.2 release. Continue Reading
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Feature
13 Nov 2018
DataScience.com set to drive Oracle cloud analytics efforts
Oracle's cloud strategy includes machine learning jobs that differ from the usual SQL analytics. The company is turning to its DataScience.com purchase to fill the gap. Continue Reading
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Tip
13 Jul 2018
How graph data modeling can help evaluate database tools
Mapping data to a graph model can be challenging, but these steps can help you create prototype applications -- which then can aid in evaluating graph databases. Continue Reading
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Answer
26 Jun 2018
What's the difference between DDL and DML?
What's the difference between DDL and DML? Get the answer and see examples of data manipulation language and data definition language commands for SQL databases. Continue Reading
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Podcast
22 Feb 2018
Google TPUs open up on cloud; LinkedIn intros Hadoop Dynamometer
In big data news, we find Google TPUs, or Tensor Processing Units, offered as a cloud service, while LinkedIn is open sourcing a Hadoop test simulator called Dynamometer. Continue Reading
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Podcast
23 Jan 2018
How AI and IoT will influence data management in 2018
AI and IoT will alter the data management landscape in 2018, according to analyst James Kobielus. AI will need regular updates, and DevOps will become more prevalent as a result. Continue Reading
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News
24 Jul 2017
Chief data officer jobs call for nurturing data ethos in companies
In many organizations, chief data officer jobs centered on defense against risk are giving way to ones emphasizing innovation. To do so, CDOs must nurture a data culture, MIT panelists said. Continue Reading
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Tip
18 May 2015
Relational database design tips to boost performance
As relational database management systems handle more and more data, a strategic approach to data modeling has become vital. Continue Reading
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Photo Story
16 Feb 2012
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. Continue Reading
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News
29 Nov 2011
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. Continue Reading
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Answer
11 Oct 2011
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. Continue Reading
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Answer
18 May 2011
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. Continue Reading
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News
30 Dec 2010
Top seven data management stories of 2010
The top data management stories of 2010 include SaaS-based data integration, data warehouse appliances, the SAP-Sybase acquisition and more. Continue Reading
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Answer
01 Jun 2010
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. Continue Reading
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Answer
01 Jun 2010
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. Continue Reading
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Answer
24 Mar 2010
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. Continue Reading
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Feature
26 Oct 2009
Advantages and disadvantages of XML shredding
Learn about the advantages and disadvantages of XML shredding and different shredding methods, plus find out when shredding is and isn't a good option for your company. Continue Reading
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Feature
11 Jun 2009
Similarities and differences between ROLAP, MOLAP and HOLAP
Find out the differences between ROLP, MOLAP and HOLAP and their advantages and disadvantages. Learn about data quality and the evolution of data warehouse applications. Continue Reading
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Feature
20 May 2009
Data modeling for the business: What is a data model?
Learn about high-level data modeling, what a data model is and how business and IT can use logical data modeling to plan a data design with these best practices from a data modeling handbook and guide. Continue Reading
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Answer
21 May 2008
Enterprise versus project level conceptual data modeling
Learn the differences between enterprise level and project level conceptual data modeling, and find out how both approaches are compatible. Continue Reading
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Answer
22 Apr 2008
Data model conversion: Conceptual design to logical design using an ER model
Learn two common approaches to converting a data model from a conceptual design to a logical design. Continue Reading
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Answer
23 Oct 2007
What are the benefits of a conceptual data model?
Learn the functions and potential benefits of a conceptual data model, from data modeling expert Pete Stiglich. Continue Reading