Remove policy-enforcement-automation-with-semantics
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Case study: Policy Enforcement Automation With Semantics

Ontotext

This approach is fueled by enterprise semantics and makes data findable, consistent, interoperable, and reusable for generating faster insights. TopQuadrant is an enterprise data management software built around helping companies realize the value of their data by solving tough problems with semantics.

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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

Our customers are telling us that they are seeing their analytics and AI workloads increasingly converge around a lot of the same data, and this is changing how they are using analytics tools with their data. They aren’t using analytics and AI tools in isolation.

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How a data fabric overcomes data sprawls to reduce time to insights

IBM Big Data Hub

By using metadata-enriched AI and a semantic knowledge graph for automated data enrichment, a data fabric continuously identifies and connects data from disparate data stores to discover relevant relationships between the available data points. enterprises to minimize their time to value. How does a data fabric impact the bottom line?

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Usability and Connecting Threads: How Data Fabric Makes Sense Out of Disparate Data

Ontotext

Using metadata, machine learning (ML), and automation, a data fabric provides a unified view of enterprise data across data formats and locations. After all, when businesses lack domain context, and unified semantics hinder data usage within the organization, a data fabric approach can be a game-changer.

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Sentry to Ranger – A concise Guide

Cloudera

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. It is useful in defining and enforcing different levels of privileges on data for users on a Hadoop cluster. Why switch to Ranger? This means, Ranger provides a finer grained level of access control.

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Amazon OpenSearch Service H1 2023 in review

AWS Big Data

With managed domains, you can use advanced capabilities at no extra cost such as cross-cluster search, cross-cluster replication, anomaly detection, semantic search, security analytics, and more. OpenSearch Service provides two configuration options to deploy and operate OpenSearch at scale in the cloud.

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IBM named a leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2022

IBM Big Data Hub

In this way, the IBM data fabric delivers end-to-end automation to maximize productivity and time – to – value such as automated policy and business controls enforcement – all while leaving data where it resides. Providing the semantic. Key attributes of IBM’s approach to data fabric .