In this tutorial, we'll learn Data Mesh: defining a new data architecture paradigm with zhamak dehghani [podcast].
Data Mesh: Moving Away From Monolithic & Centralised Data Lakes. Data mesh marks an architectural and organisational shift in the way enterprises manage big data.
Understanding Data Mesh services for connecting, managing, and supporting data access and its comparison with Data Lake and Data Fabric. If you are still wondering about it then this article is for you. Let's explore it with us now.
Data Mesh – a new, transformative architecture paradigm that has created quite the stir – can give your data goals a new lease on life. If you are still wondering about it then this article is for you. Let's explore it with us now.
In 2021, the innovators are finding ways to provide both the run-time and design-time observability benefits almost automatically. An overview of how the InfoQ editorial team sees the Software Architecture and Design topic evolving in 2021, with a focus on what architects are designing for today. Software Architecture and Design InfoQ Trends Report—April 2021.
Is Data Mesh Right For Your Organisation? Data Mesh allows for easier data architectures scaling by breaking them down into smaller, domain-oriented components. Read more here!
Data Mesh Principles and Logical Architecture Defined. Data mesh addresses these dimensions, founded in four principles: domain-oriented decentralized data ownership and architecture. The concept of a data mesh provides new ways to address common problems around managing data at scale.
How DataOps helps bring people closer to the data and sets up a springboard for faster, better business outcomes.
Data Gateways act like API Gateways but focus on access to the data aspect. A Data Gateway offers abstractions, security, scaling, federation, and contract-driven development features. There are many types of Data Gateways, from the traditional data virtualization technologies, to light GraphQL translators, cloud-hosted services, connection pools, and fully open source alternatives.