Remove Events Remove Metadata Remove Testing
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Introducing simplified interaction with the Airflow REST API in Amazon MWAA

AWS Big Data

The Airflow REST API facilitates a wide range of use cases, from centralizing and automating administrative tasks to building event-driven, data-aware data pipelines. Event-driven architectures – The enhanced API facilitates seamless integration with external events, enabling the triggering of Airflow DAGs based on these events.

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Icebergs table format separates data files from metadata files, enabling efficient data modifications without full dataset rewrites.

Metadata 106
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Run Apache XTable in AWS Lambda for background conversion of open table formats

AWS Big Data

Central to a transactional data lake are open table formats (OTFs) such as Apache Hudi , Apache Iceberg , and Delta Lake , which act as a metadata layer over columnar formats. XTable isn’t a new table format but provides abstractions and tools to translate the metadata associated with existing formats.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Know thy data: understand what it is (formats, types, sampling, who, what, when, where, why), encourage the use of data across the enterprise, and enrich your datasets with searchable (semantic and content-based) metadata (labels, annotations, tags). Do not covet thy data’s correlations: a random six-sigma event is one-in-a-million.

Strategy 290
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Deep automation in machine learning

O'Reilly on Data

have a large body of tools to choose from: IDEs, CI/CD tools, automated testing tools, and so on. We have great tools for working with code: creating it, managing it, testing it, and deploying it. Metadata analysis makes it possible to build data catalogs, which in turn allow humans to discover data that’s relevant to their projects.

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Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone

AWS Big Data

The proposed solution involves creating a custom subscription workflow that uses the event-driven architecture of Amazon DataZone. Amazon DataZone keeps you informed of key activities (events) within your data portal, such as subscription requests, updates, comments, and system events. Enter a name for the asset.

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The New O’Reilly Answers: The R in “RAG” Stands for “Royalties”

O'Reilly on Data

It offers a wealth of books, on-demand courses, live events, short-form posts, interactive labs, expert playlists, and more—formed from the proprietary content of thousands of independent authors, industry experts, and several of the largest education publishers in the world.

Metadata 292