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

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
data engineer

A data engineer is an IT worker whose primary job is to prepare data for analytical or operational uses. Continue Reading
What is a data warehouse analyst?

Data warehouses aren't a new part of the data pipeline, but analyst roles to manage the repository are increasing. Here's a look at the role and responsibilities. Continue Reading

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

Why consider an augmented data catalog?

Automated and augmented data catalogs have been around for a few years, but adoption is still lagging. Find out why an enterprise may consider investing in the technology. Continue Reading
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
The differences between a data warehouse vs. data mart

Data marts and data warehouses are both important in the decision-making process. Here are the biggest differences between the two repositories and why they each matter. Continue Reading

Learn to apply best practices and optimize your operations.

Data warehouse environment modernization tools and tips

A data warehouse environment is made up of many tools and systems. Read on to learn the history of the modern data warehouse and how they're currently evolving. Continue Reading
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

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