Enterprise data architecture best practices

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Databases vs. Data Warehouses vs. Data Lakes vs. Data Marts

This cheat sheet will help you better understand how each repository differs based on the type, purpose and quality of data. Plus, you’ll get an introduction to the features of data catalog software, a user-friendly metadata management system.

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Enterprise data architecture best practices News

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.
August 29, 2019 29 Aug'19
Align enterprise data architecture, governance for 'quick wins'

Data management consultant Donna Burbank outlines how effective data governance hinges on the deployment of a comprehensive enterprise data architecture.
August 20, 2019 20 Aug'19
Enterprise data marketplace aims to ease self-service chaos

Self-service data preparation can duplicate work and slow down analytics. One possible fix: an internal marketplace where users can 'shop' for data assets.

Enterprise data architecture best practices Get Started

Bring yourself up to speed with our introductory content

What steps are key to building a data catalog?

An enterprise data catalog can help data stewards and other users in an organization manage metadata and explore data assets. Here are 10 key steps for creating a data catalog. Continue Reading
Data warehousing design and value change with the times

Big data, the cloud and analytics profoundly shape data warehouse purpose and design. Learn how companies derive value from a repository that at times needs definition. Continue Reading
What Is Data Management and Why Is It Important?

Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization, as explained in this in-depth look at the process. Continue Reading

Evaluate Enterprise data architecture best practices Vendors & Products

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

Ethical data collection in the spotlight over new regulations

New regulations have put data privacy top of mind for many consumers. Here's a look at how businesses can incorporate ethical data collection -- and even benefit from it. Continue Reading
Data governance metrics: Data quality, data literacy and more

Statistics on data quality are the most common metrics used to track data governance programs, but other types of data-related measurements also can be applied. Continue Reading
What are the main features of data catalog software?

Data catalogs are curated data portals for self-service analytics users. Learn about the capabilities of data catalog tools, vendors that sell them and how catalogs work. Continue Reading

Manage Enterprise data architecture best practices

Learn to apply best practices and optimize your operations.

6 best practices on data governance for big data environments

Efforts to govern big data must corral a mix of structured and unstructured data. That's a challenge for most organizations. These six action items will help. Continue Reading
5 benefits of building a strong data governance strategy

Effective data governance provides a variety of benefits to organizations, including improvements in operational efficiency, data quality and business decision-making. Continue Reading
Should you host your data lake in the cloud?

On premises or in the cloud: What's the better place for your data lake? Here are some things to consider before deciding where to deploy a data lake. Continue Reading

Problem Solve Enterprise data architecture best practices Issues

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