Data warehousing resources and information

Data warehousing News

April 28, 2022 28 Apr'22
Ocient Hyperscale Data Warehouse scales data operations

The data warehouse vendor is targeting enterprises that need to use a trillion rows of data or more for analysis, with hyperscale technology that is now ready for broader adoption.
April 21, 2022 21 Apr'22
Databricks aims data lakehouse at media and entertainment

Gaming vendor Sega is using the data vendor's technology to unify its data for sales as well as game balancing to enable players to get the best experience.
April 13, 2022 13 Apr'22
Databricks fuels analytics for Spain's top soccer league

After prioritizing data-driven decision-making over the last decade, LaLiga is now using Databricks to inform its clubs and fans about play on the field.
April 12, 2022 12 Apr'22
Arcion brings change data capture platform to the cloud

Getting data out of one system and into another in the right format as quickly as possible is a challenge the Arcion Cloud service is aiming to address for organizations.

Bring yourself up to speed with our introductory content

6 key steps to develop a data governance strategy

Data governance shouldn't be built around technology, but the other way around. Existing infrastructure, executive support, data literacy, metrics and proper tools are essential. Continue Reading
7 best practices for successful data governance programs

A comprehensive, companywide data governance program strengthens data infrastructure, improves compliance initiatives, supports strategic intelligence and boosts customer loyalty. Continue Reading
operational data store (ODS)

An operational data store (ODS) is a type of database that's often used as an interim logical area for a data warehouse. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Bill Inmon's data warehouse approach tackles text analysis

Learn the fine points of a concept at the heart of 'The Textual Warehouse' a new book that aims to help organizations profit through textual analysis. Continue Reading
Apache Pulsar vs. Kafka and other data processing technologies

David Kjerrumgaard looks at how the distributed messaging platform Apache Pulsar handles storage compared to Apache Kafka and other data processing technologies. Continue Reading
Data warehouse technologies evolve as vendors look skyward

The need for high-speed analytics and low latency are pushing data warehousing vendors to create and reinvent their platforms and, in some cases, reinvent themselves. Continue Reading

Learn to apply best practices and optimize your operations.

NLP and AI boost the automated data warehouse

Businesses are working to automate as many elements of their data warehouses as they can through nascent tools like augmented analytics and neuro-linguistic programming. Continue Reading
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
6 strategies to tap into data warehouse BI

Data warehouse BI benefits include data storage, summarization and transformation and can be unlocked with these six strategies leveraging cloud architectures. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

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
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
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