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The Power of Active Metadata

Data Virtualization

This is where active metadata comes in. Listen to “Why is Active Metadata Management Essential?” What is Active Metadata? The post The Power of Active Metadata appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Salesforce debuts Zero Copy Partner Network to ease data integration

CIO Business Intelligence

The zero-copy pattern helps customers map the data from external platforms into the Salesforce metadata model, providing a virtual object definition for that object. The zero-copy pattern helps customers map the data from external platforms into the Salesforce metadata model, providing a virtual object definition for that object. “It

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What is Active Metadata & Why it Matters: Key Insights from Gartner’s Market Guide

Alation

Analysis, however, requires enterprises to find and collect metadata. In fact, Gartner’s “Market Guide for Active Metadata Management” points to “ active metadata management ” as the key to continuous data analysis – which supports smarter human usage and more valuable insights. What Is Active Metadata Management?

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What Is Active Metadata Management and How Does It Work?

Octopai

First, what active metadata management isn’t : “Okay, you metadata! Now, what active metadata management is (well, kind of): “Okay, you metadata! Metadata are the details on those tools: what they are, what to use them for, what to use them with. . Quit lounging around! And one – and zero!”.

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Iceberg tables maintain metadata to abstract large collections of files, providing data management features including time travel, rollback, data compaction, and full schema evolution, reducing management overhead. Implementing these solutions requires data sharing between purpose-built data stores.

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Alation 2022.3: Alation Anywhere Connecting the Modern Data Stack

Alation

Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. We pioneered the world’s first machine learning data catalog, centralizing technical, operational, business and behavioral metadata into one place. Centralization can power innovation.

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Accelerate HiveQL with Oozie to Spark SQL migration on Amazon EMR

AWS Big Data

We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The first component (metadata setup) consumes existing Hive job configurations and generates metadata such as number of parameters, number of actions (steps), and file formats.