Remove the-journey-to-an-enterprise-data-mesh
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The Journey to an Enterprise Data Mesh

Dataiku

Everywhere one looks in the data blogs these days, people are expounding the freedom and scalability of a data mesh, but very little is being said about how one actually builds towards having this mystical mesh. TL;DR: a data mesh is a microservices mesh for data services.

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Implementing a Pharma Data Mesh using DataOps

DataKitchen

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Figure 1: Data requirements for phases of the drug product lifecycle.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh.

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Data Mesh 101: How Data Mesh Can Be Used in an Organization

Ontotext

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Engage key stakeholders from the start.

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How IBM is helping accelerate AI adoption and application centric connectivity

IBM Big Data Hub

Obviously, IBM has a huge stake in the success of AI with watsonx™, our AI and data platform with AI assistants. Enterprises continue to adopt edge, hybrid, and multicloud architectures with applications and data assets spread across public and private clouds while also supporting a remote, dynamic userbase.

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The battle of the personas in the world of enterprise applications—how IBM Hybrid Cloud Mesh and Red Hat Services Interconnect unify them

IBM Big Data Hub

Navigating the intricate realm of modern enterprise applications requires collaboration among diverse personas to effectively manage complexity. This helps with continuous business support through applications automating essential workflows. Traditionally, applications and their hosting infrastructure align with DevOps and CloudOps.

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Decoding the future: unravelling the intricacies of Hybrid Cloud Mesh versus service mesh 

IBM Big Data Hub

Hybrid Cloud Mesh, which is generally available now, is revolutionizing application connectivity across hybrid multicloud environments. Let’s draw a comparison between Hybrid Cloud Mesh and a typical service mesh to better understand the nuances of these essential components in the realm of modern enterprise connectivity.