Enterprise data architecture best practices news, help and research

Enterprise data architecture best practices News

July 15, 2021 15 Jul'21
Edge-to-cloud architecture turns key for digital initiatives

Enterprises pursuing digital transformation initiatives may need to reexamine their infrastructure architecture to bring compute and storage closer to data generated at the edge.
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.

Bring yourself up to speed with our introductory content

Quiz: Test your understanding of the Hadoop ecosystem

This quiz will test your knowledge of Hadoops basics including framework, capabilities and related technologies. Continue Reading
stream processing

Stream processing is a data management technique that involves ingesting a continuous data stream to quickly analyze, filter, transform or enhance the data in real time. Continue Reading
7 data modeling techniques and concepts for business

Three types of data models and seven data modeling techniques are available to data management teams to convert mountains of information into valuable business intelligence. Continue Reading

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

8 top data architect and data engineer certifications in 2021

Learn what it takes to achieve and accelerate a rewarding career in data architecture and choose from among some of the best data architect and data engineer certifications. Continue Reading
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
What is data architecture? A data management blueprint

Data architecture is a discipline that documents an organization's data assets, maps how data flows through its systems and provides a blueprint for managing data. Continue Reading

Learn to apply best practices and optimize your operations.

6 key components of a successful data strategy

These six elements are essential parts of an enterprise data strategy that will help meet business needs for information when paired with a solid data architecture. Continue Reading
5 principles of a well-designed data architecture

Here are five core data architecture principles to help organizations build a modern architecture that successfully meets their data management and analytics needs. Continue Reading
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

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

Data quality for big data: Why it's a must and how to improve it

As data volumes increase exponentially, methods to improve and ensure big data quality are critical in making accurate, effective and trusted business decisions. Continue Reading
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