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Logical Data Management and Data Mesh

Data Virtualization

Reading Time: < 1 minute In this post, I’m going to cover logical data management and its impact on data mesh architectures. But there’s a lot of confusion in the marketplace today between different types of architectures, specifically data mesh and data fabric, so I’ll.

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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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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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What is Data Mesh?

Ontotext

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy.

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How is the ‘Mesh’ Resolving Bottlenecks of Data Management

Smart Data Collective

If you are stuck with dumping data into warehouses and lakes then you are most likely not prepared for what’s coming up next. This era is changing data as we know it. Data Mesh which is the latest addition to the stack is saving data teams from the hassle of producing qualitative data for all business types.

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Prioritizing Data: Why a Solid Data Management Strategy Will Be Critical in 2024

Ontotext

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. I expect to see the following data and knowledge management trends emerge in 2024. However, organizations need to be aware that these may be nothing more than bolted-on Band-Aids.

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Debunking observability myths – Part 6: Observability is about one part of your stack

IBM Big Data Hub

In modern software and system management, observability goes beyond focusing on just one part of the stack. True observability requires observing and analyzing data from all layers of the system, including application metrics, traces, and infrastructure telemetry. Why is this a myth?

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