Data warehousing
Data warehousing captures data from a variety of sources so it can be accessed and analyzed by business analysts, data scientists and other end users. One goal is to enhance data quality and consistency for analytics uses while improving business intelligence. Read how data warehousing provides these and other unique benefits to overall data management strategy.
Top Stories
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News
23 Apr 2025
Datadog sees data observability join DevOps, adds Metaplane
Datadog has customers already bringing data science under DevOps and, with its latest acquisition, aims to create a unified tool set for the newly converged combo. Continue Reading
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News
09 Apr 2025
Google enters new era of AI for data with launch of agents
Agentic AI applications for data engineering and data science along with a new underlying knowledge engine aim to make data management and analytics easier and more efficient. Continue Reading
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Definition
16 May 2019
What is Data as a Service (DaaS)?
Data as a Service (DaaS) is an information provision and distribution model in which data files (including text, images, sounds, and videos) are made available to customers over a network, typically the Internet. Continue Reading
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News
01 May 2019
Snowflake CEO Bob Muglia replaced by former ServiceNow CEO
Frank Slootman, who led ServiceNow and Data Domain through successful IPOs, is the new chairman and CEO of cloud data warehouse vendor Snowflake, replacing former CEO Bob Muglia. Continue Reading
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Feature
04 Apr 2019
How data staging helped Walgreens transform its supply chain
Walgreens built a centralized data warehouse to give supply chain partners a better view into its data -- but analytics were slow. That's where a data staging tier came in. Continue Reading
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Feature
21 Feb 2019
DataOps is more than DevOps for data, Delphix CTO says
Data operations is young compared to DevOps, but it is increasingly used as part of projects that put data at the center of development. Here, Delphix CTO Eric Schrock makes observations about the trend. Continue Reading
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Feature
01 Feb 2019
Cloud data warehouse makes inroads as users spurn admin tasks
Overlooked in the run-up to Hadoop, data warehouses have found new life off premises. Cloud-based data warehouses find favor with teams that want to reduce warehouse administration. Continue Reading
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News
22 Jan 2019
New Teradata CEO pursues cloud-based architecture
Cloud architecture, analytics and AI data processing are top innovation priorities for new Teradata CEO Oliver Ratzesberger. He talks about his goals in this Q&A. Continue Reading
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News
30 Nov 2018
Amazon Timestream, QLDB aim to grab more DBMS users for AWS
Built-for-purpose databases target general ones, especially in the cloud. At re:Invent 2018, AWS added time-series and transaction ledger databases to expand its line. Continue Reading
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Tip
06 Jul 2018
When to choose an S3 big data environment over HDFS storage
Selecting a storage service for big data in the cloud can be challenging. Expert David Loshin explains usage patterns that could lead organizations to Amazon Simple Storage Service. Continue Reading
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Answer
27 Oct 2017
Dimension tables vs. fact tables: What's the difference?
Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold different types of data. Continue Reading
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Answer
17 May 2017
Operational data store vs. data warehouse: How do they differ?
Operational data stores and data warehouses both store operational data, but the similarities between them end there -- and they both have a role to play in analytics architectures. Continue Reading
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Buyer's Guide
30 Mar 2016
A buyer's guide to selecting the best data warehouse product
With several deployment options and product choices, it's difficult to know where to start. This buyer's guide helps you choose the right data warehouse product for your company. Continue Reading
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Feature
22 Mar 2016
Five factors to help select the right data warehouse product
How big is your company, and what resources does it have? What are your performance needs? Answering these questions and others can help you select the right data warehouse platform. Continue Reading
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Feature
10 Mar 2016
A look inside the SAP IQ column-oriented database
The SAP IQ column-oriented database is designed for large data warehouses that require high scalability, rapid data loading and optimal query performance. Continue Reading
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Feature
09 Mar 2016
Examining the Teradata Data Warehouse
With both relational and columnar options, the Teradata Active Enterprise Data Warehouse gives companies an efficient, scalable appliance they can deploy in-house or in the cloud. Continue Reading
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Feature
24 Feb 2016
Evaluating the key features of data warehouse platforms
Choosing between the different types of data warehouse platforms can be simplified once you know which deployment option best meets your project requirements. Continue Reading
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Feature
17 Feb 2016
What to expect from Oracle Exadata Database Machine
Oracle Exadata Database Machine combines hardware and software to enable analytics, batch, reporting and other tasks to run simultaneously within and across databases. Continue Reading
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Feature
15 Feb 2016
Examining the IBM PureData System for Analytics appliance
Powered by Netezza technology, the IBM PureData System for Analytics data warehouse appliance enables users to execute complex queries and get results quickly. Continue Reading
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Feature
16 Nov 2015
The benefits of deploying a data warehouse platform
Big data may be all the rage, but data warehouse platforms are still being utilized by companies of all sizes. Expert Craig S. Mullins takes a look at the technology. 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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Feature
04 Feb 2010
Key benchmarks for measuring transaction processing performance
Find key benchmarks for measuring transaction processing performance at your company, and learn about XA two-phase commit and types of transaction processing. Continue Reading
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Answer
10 Apr 2009
What are the most common system implementation mistakes?
Learn about some of the biggest mistakes in system implementation and why successful implementations are few and far between. Find out how to avoid these pitfalls with careful planning and more tips from our project management expert. Continue Reading
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Answer
26 Jun 2008
How to evaluate data warehouse software in five steps
Get five steps to evaluating data warehouse software from a data warehouse expert. Continue Reading
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News
10 Apr 2008
Why Are Data Warehouses Growing So Fast?
Richard Winter provides observations on the causes and effects of the explosion of digital information. Continue Reading
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Answer
16 Mar 2006
Ralph Kimball vs. Bill Inmon approaches to data warehouse design
Learn about the debate between the Ralph Kimball and Bill Inmon approaches to data warehouse design. Continue Reading
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News
06 Jan 2005
Data warehousing for government
Surprisingly, Data Warehouses have been slow to be adopted in the government circles. Continue Reading