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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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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

It leverages knowledge graphs to keep track of all the data sources and data flows, using AI to fill the gaps so you have the most comprehensive metadata management solution. Together, Cloudera and Octopai will help reinvent how customers manage their metadata and track lineage across all their data sources.

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

AWS Big Data

We will also cover the pattern with automatic compaction through AWS Glue Data Catalog table optimization. Consider a streaming pipeline ingesting real-time event data while a scheduled compaction job runs to optimize file sizes. Load the tables latest metadata, and determine which metadata version is used as the base for the update.

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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.

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Announcing Open Source DataOps Data Quality TestGen 3.0

DataKitchen

Better Metadata Management Add Descriptions and Data Product tags to tables and columns in the Data Catalog for improved governance. With updated TestGen 3.0 , you have the power to score, monitor, and optimize your data quality like never before. DataOps just got more intelligent.

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

AWS Big Data

Despite their advantages, traditional data lake architectures often grapple with challenges such as understanding deviations from the most optimal state of the table over time, identifying issues in data pipelines, and monitoring a large number of tables. It is essential for optimizing read and write performance.

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