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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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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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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Metadata and artifacts needed for audits. Machine learning often interacts and impacts users, so companies not only need to put in place processes that will let them deploy ML responsibly, they need to build foundational technologies that will allow them to retain oversight, particularly when things go wrong.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Leveraging metadata (labels, annotations) for deep dimensional analysis. Leveraging technologies including Amazon SageMaker & Redshift, Microsoft Power BI & Excel, and AtScale. Extending analysis-ready data to all of your business stakeholders at scale.

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Underlying Engineering Behind Alexa’s Contextual ASR

Analytics Vidhya

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

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Enterprises can gain an edge with Metadata Management

CIO Business Intelligence

Central to this is metadata management, a critical component for driving future success AI and ML need large amounts of accurate data for companies to get the most out of the technology. Let’s dive into what that looks like, what workarounds some IT teams use today, and why metadata management is the key to success.

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