Systems | Development | Analytics | API | Testing

Data Mesh

dreamfactory

Data Management and the Four Principles of Data Mesh

Oct 1, 2024 By Spencer Nguyen In DreamFactory
A relatively new term in the world of data management, data mesh refers to the process of creating a single, unified view of all enterprise data. This process can happen in several ways, giving business users easy access to the data they require for decision-making. Several principles guide data mesh design and implementation. This article will discuss the principles of data mesh and how they can help your business get the most out of its data.
Read Post
astera

Data Mesh vs. Data Fabric: How to Choose the Right Data Strategy for Your Organization

Sep 4, 2024 By Raza Ahmed Khan In Astera
Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. The solution is a data architecture that eliminates silos, and that’s where the data mesh vs. data fabric debate comes in. While both data architectures work to eliminate data silos, they differ in their approaches (more on that later).
Read Post
astera

Data Mesh Defined: Principles, Architecture, and Benefits

Aug 16, 2024 By Anum Fatima In Astera
Organizations today are accumulating data more than ever. Traditional data management approaches, such as centralized data warehouses and siloed data marts, are struggling to keep pace with the ever-increasing volume, velocity, and variety of information. The complexity of modern data environments is outpacing the capabilities of these legacy systems and demands a more agile and distributed solution.
Read Post
dreamfactory

Easier Data Marts with DreamFactory Data Mesh

Jan 22, 2024 By Jason Gilmore In DreamFactory
Today’s IT teams are struggling to make sense of organizational data that has been compiled piecemeal and often stored within disparate storage solutions. Often this information needs to be aggregated and presented in a unified format, yet pulling data from multiple data sources and displaying it in a coherent way can be onerous and error-prone. The challenge is compounded when the data resides in different databases, and possibly within different clouds.
Read Post
dreamfactory

How Your API Strategy Is Fundamental to Any Data Mesh Strategy

Dec 11, 2023 By Spencer Nguyen In DreamFactory
The data mesh approach has gained popularity over the last couple of years as organizations look for reliable ways to break down data silos. At first, data lakes looked like a good way to improve data management and make information more discoverable. Unfortunately, data lakes — and data warehouses — don’t always conform to business needs. They’re often slow and even unresponsive to queries. Potentially even worse, they can still lead to data silos.
Read Post
dreamfactory

API Generation for Data Mesh: Accelerate Your Data Mesh Strategy

Nov 30, 2023 By Terence Bennett In DreamFactory
Data mesh, it’s one of the hottest data science topics among software engineering teams, data scientists, and anyone interested in building a more effective data infrastructure. This concept is a relatively new model for data management, helping large enterprises scale their data footprint to accelerate digital transformation. Many industries, like retail and banking, see how crucial data is, yet few have mastered ways to harness it. API generation for data mesh is one of the ways you can start.
Read Post

How Roche Securely Scales a Data Mesh on Snowflake

Aug 8, 2023 By Snowflake In Snowflake
As the world's largest biotech company, Roche has goals of doubling patient access to novel diagnostics solutions and achieving medical advances at half the cost to society. Compliantly and securely delivering data products and democratizing data consumption in a decentralized environment are critical to reaching these goals. To support this ambition, Roche's Data & Analytics Team had to solve data access management, security, and governance at scale. Paul Rankin, Head of Data Mesh Platform at Roche, describes how they used Snowflake's security architecture and data marketplace to power Roche's self-service data and analytics platform stack.
View Video
kong

API Platform and Data Mesh: Why Bring Them Together

Jun 14, 2023 By Jordi Fernandez Moledo In Kong

Enterprises are investing in data mesh initiatives to accelerate how decisions are made and to create novel experiences based on machine learning models. Similarly, enterprises are investing in API platform initiatives to productize business domains (or bounded contexts in domain-driven design parlance) as self-service digital assets that accelerate innovation and improve business agility. Both initiatives are typically run as separate work streams.

Read Post

Copyright © 2024 OpsMatters™. All rights reserved.