Remove solutions data-mesh
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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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DataKitchen’s Best of 2021 DataOps Resources

DataKitchen

Gartner – Top Trends and Data & Analytics for 2021: XOps. What is a Data Mesh? DataOps Data Architecture. A Guide to Understanding DataOps Solutions. DataOps is Not Just a DAG for Data. Data Observability and Monitoring with DataOps. DataOps is NOT Just DevOps for Data.

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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.

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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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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.

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Forrester – Chart Your Course To Insights-Driven Business Maturity

DataKitchen

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . The following resources will help you understand DataOps principles and how to get started: Blog: For Data Team Success, What You Do is Less Important Than How You Do It.

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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

Outside the data-plane, there are still a lot of complexities that needed to be dealt with, such as lifecycle management of the gateways, certificate rotation, policy administration, and, more importantly, observability. We hope you join us on the journey.