Enterprise data architecture best practices news, help and research

Enterprise data architecture best practices News

October 08, 2020 08 Oct'20
Denodo Platform 8.0 expands data virtualization features

The updated platform from Denodo looks to help organizations via enhanced features that connect and query disparate sources of data across different environments.
July 08, 2020 08 Jul'20
SODA Foundation launches to unify open source data management

A new Linux Foundation-sponsored group will support open source data management and promote interoperability between applications and data sources, on premises or cloud-based.
February 24, 2020 24 Feb'20
Lessons learned from Credit Karma GraphQL architecture

Credit Karma's vice president of engineering explains why and how the personal finance service is using the GraphQL data query technology to support its growing business.
September 30, 2019 30 Sep'19
Cloud database services multiply to ease admin work by users

The list of vendors offering managed cloud database services is growing rapidly, which gives IT teams more opportunities to offload management of database systems.

Bring yourself up to speed with our introductory content

DBMS keys: Primary, super, foreign and candidate keys with examples

Here's a guide to primary, super, foreign and candidate keys, what they're used for in relational database management systems and the differences among them. Continue Reading
Google BigQuery

Google BigQuery is a cloud-based big data analytics web service for processing very large read-only data sets. Continue Reading
data analytics (DA)

Data analytics (DA) is the process of examining data sets in order to find trends and draw conclusions about the information they contain. Continue Reading

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

New data warehouse schema design benefits business users

The Unified Star Schema is a revolution in data warehouse schema design. Learn the benefits of this new architecture and read an excerpt from a new book about it. Continue Reading
Data warehouse vs. data lake: Key differences

Data warehouses and data lakes are both data repositories common in the enterprise, but what are the main differences between the two and which is best for your data? Continue Reading
The top 6 use cases for a data fabric architecture

Enterprise data fabric adoption has been on the rise as a way to ensure access and data sharing in a distributed environment. Here are the top use cases for data fabrics. Continue Reading

Learn to apply best practices and optimize your operations.

Investment in talent key for data quality in healthcare

Investing in training employees on proper data gathering and management practices is crucial for healthcare organizations seeking to ensuring data quality and patient care. Continue Reading
Building a strong data analytics platform architecture

A strong analytics platform is key to meeting demands in a data-driven business. Read on for the key components your platform architecture should include. Continue Reading
When a DIY database management system design is the best fit

Learn how a combination of homegrown, off-the-shelf and open source tools, plus proper motivation, can yield a DIY DBMS that meets corporate expectations, needs and ROI. Continue Reading

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

What data lake governance challenges do organizations face?

Consultant Anne Marie Smith details five challenges that an organization may face in applying data governance policies to data lakes and offers advice on how to overcome them. Continue Reading
5 data integration challenges and how to overcome them

Automation can solve a lot of data integration problems, but not all of them. Learn about the top five data integration challenges and what else to do to overcome them. Continue Reading
7 steps to a successful data lake implementation

Flooding a Hadoop cluster with data that isn't well organized and managed can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading