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Best Practices for Metadata Management

Alation

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata.

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Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Ontotext

way we package information has a lot to do with metadata. The somewhat conventional metaphor about metadata is the one of the library card. This metaphor has it that books are the data and library cards are the metadata helping us find what we need, want to know more about or even what we don’t know we were looking for.

Metadata 124
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Visualize Amazon DynamoDB insights in Amazon QuickSight using the Amazon Athena DynamoDB connector and AWS Glue

AWS Big Data

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. You don’t need to write any code. Choose Next.

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The Missing Link in Enterprise Data Governance: Metadata

Octopai

Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Metadata in data governance. What many enterprises have not yet come to terms with when implementing their data governance strategy and supporting tools, is the criticality of metadata in the process.

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The Future of Data Lineage and the Role of Metadata

Alation

Active metadata will play a critical role in automating such updates as they arise. His work produced control-flow graphs with nodes and edges as a visual representation of complexity. This approach ensures lineage is easy to visualize. The markup can be extracted and used in a wide array of visual tools.

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Modernize your ETL platform with AWS Glue Studio: A case study from BMS

AWS Big Data

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

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Automate AWS Clean Rooms querying and dashboard publishing using AWS Step Functions and Amazon QuickSight – Part 2

AWS Big Data

Instead, they rely on up-to-date dashboards that help them visualize data insights to make informed decisions quickly. QuickSight is used to query, build visualizations, and publish dashboards using the data from the query results. After a successful update of the AWS Glue table metadata, the state machine is complete.