-
-
-
-
URL copied!
Data platform challenges with data processing and analysis are many. Today, data engineers are using the Domain-Driven Design (DDD) through the Distributed Data Mesh architecture to help overcome these obstacles. The Data Mesh approach includes four important pillars: domain-driven data ownership, data as a product, self-serve infrastructure as a platform, and federated computational governance.
It’s crucial to thoroughly understand these components of Data Mesh before implementing them into an organization. Learn about Distributed Data Mesh, the current analytical data platform challenges, and how Data Mesh can overcome them by creating cloud and on-premise solutions through data storage, self-serve tooling, and more.
Top Insights
Manchester City Scores Big with GlobalLogic
AI and MLBig Data & AnalyticsCloudDigital TransformationExperience DesignMobilitySecurityMediaTwitter users urged to trigger SARs against energy...
Big Data & AnalyticsDigital TransformationInnovationRetail After COVID-19: How Innovation is Powering the...
Digital TransformationInsightsConsumer and RetailTop Insights Categories
Let’s Work Together
Related Content
We’re getting the chance to live in the future
Early 20th Century motivational speaker and author Dale Carnegie once wrote “Today is the tomorrow you worried about yesterday.” I believe that Mr. Carnegie’s point was that unless today is the literally the worst day of your life (and my sincere sympathies if it is), then the energy you spent worrying about it yesterday was largely wasted. I haven’t read much … Continue reading Distributed Data Mesh →
Learn More
Share this page:
-
-
-
-
URL copied!