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

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.
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.

Enterprise data architecture best practices Get Started

Bring yourself up to speed with our introductory content

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
Building a database application the DIY way

Business users experience the trials, tribulations and exultations of building a DIY DBMS, especially when IT expertise is not readily available or costs are too high. Continue Reading
Developing an enterprise data strategy: 10 steps to take

Consultants detail 10 to-do items for data management teams looking to create a data strategy to help their organization use data more effectively in business operations. Continue Reading

Evaluate Enterprise data architecture best practices Vendors & Products

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

Key to data management in oil and gas is stability

Ensuring quality data management and analytics comes from following best practices, proper commitment from your organization and sticking with the plan. Continue Reading
Choosing a modern data warehouse to fit your data needs

Choosing the right modern data warehouse for your enterprise data is a large task. Here are the key evaluation points to consider when choosing your platform. Continue Reading
Benefits of a data catalog and why you need one

Data catalogs help across enterprises, from breaking down data silos to ensuring data privacy. A new book from Technics Publications explains the benefits of data catalogs. Continue Reading

Manage Enterprise data architecture best practices

Learn to apply best practices and optimize your operations.

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
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
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

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