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Enterprises can gain an edge with Metadata Management

CIO Business Intelligence

As artificial intelligence (AI) and machine learning (ML) continue to reshape industries, robust data management has become essential for organizations of all sizes. This means organizations must cover their bases in all areas surrounding data management including security, regulations, efficiency, and architecture.

Metadata 116
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7 Benefits of Metadata Management

erwin

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110
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Metadata Management, Data Governance and Automation

erwin

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and data lineage.

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Monitoring Apache Iceberg metadata layer using AWS Lambda, AWS Glue, and AWS CloudWatch

AWS Big Data

As data volumes grow, the complexity of maintaining operational excellence also increases. Monitoring and tracking issues in the data management lifecycle are essential for achieving operational excellence in data lakes. This is where Apache Iceberg comes into play, offering a new approach to data lake management.

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RDF-Star: Metadata Complexity Simplified

Ontotext

For instance, the analysis of M&A transactions in order to derive investment insights requires the raw transaction data, in addition to the information on relationships of the companies involved in these transactions, e.g. subsidiaries, joint ventures, investors or competitors. open-world vs. closed-world assumptions).

Metadata 119
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Enrich your AWS Glue Data Catalog with generative AI metadata using Amazon Bedrock

AWS Big Data

Metadata can play a very important role in using data assets to make data driven decisions. Generating metadata for your data assets is often a time-consuming and manual task. First, we explore the option of in-context learning, where the LLM generates the requested metadata without documentation.

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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down.