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Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

Writing SQL queries requires not just remembering the SQL syntax rules, but also knowledge of the tables metadata, which is data about table schemas, relationships among the tables, and possible column values. Although LLMs can generate syntactically correct SQL queries, they still need the table metadata for writing accurate SQL query.

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Rethinking informed consent

O'Reilly on Data

Informed consent is part of the bedrock of data ethics. It's easy to talk about informed consent, but what do we mean by "informed"? Continue reading Rethinking informed consent. Consent is the first step toward the ethical use of data, but it's not the last. It's rightfully part of every code of data ethics I've seen.

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Underlying Engineering Behind Alexa’s Contextual ASR

Analytics Vidhya

However, we can improve the system’s accuracy by leveraging contextual information. Any type of contextual information, like device context, conversational context, and metadata, […]. The post Underlying Engineering Behind Alexa’s Contextual ASR appeared first on Analytics Vidhya.

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Collibra Brings Effective Data Governance to Line-of-Business

David Menninger's Analyst Perspectives

Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets.

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Manage concurrent write conflicts in Apache Iceberg on the AWS Glue Data Catalog

AWS Big Data

However, commits can still fail if the latest metadata is updated after the base metadata version is established. Iceberg uses a layered architecture to manage table state and data: Catalog layer Maintains a pointer to the current table metadata file, serving as the single source of truth for table state.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

The insights are used to produce informative content for stakeholders (decision-makers, business users, and clients). With all the data in and around the enterprise, users would say that they have a lot of information but need more insights to assist them in producing better and more informative content.

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Expand data access through Apache Iceberg using Delta Lake UniForm on AWS

AWS Big Data

Under the hood, UniForm generates Iceberg metadata files (including metadata and manifest files) that are required for Iceberg clients to access the underlying data files in Delta Lake tables. Both Delta Lake and Iceberg metadata files reference the same data files. The table is registered in AWS Glue Data Catalog.

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