Remove 2024 Remove Data Transformation Remove Metadata
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Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

These data processing and analytical services support Structured Query Language (SQL) to interact with the 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.

Metadata 105
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Introducing simplified interaction with the Airflow REST API in Amazon MWAA

AWS Big Data

123} ▶ Pre task execution logs [2024-10-21, 16:56:12 UTC] {subprocess.py:63} 63} INFO - Tmp dir root location: /tmp [2024-10-21, 16:56:12 UTC] {subprocess.py:75} 123} ▶ Pre task execution logs [2024-10-21, 16:56:12 UTC] {subprocess.py:63} 63} INFO - Tmp dir root location: /tmp [2024-10-21, 16:56:12 UTC] {subprocess.py:75}

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Making OT-IT integration a reality with new data architectures and generative AI

CIO Business Intelligence

The data transformation imperative What Denso and other industry leaders realise is that for IT-OT convergence to be realised, and the benefits of AI unlocked, data transformation is vital. Avanade is attending Hanover Messe 2024. Generative AI, Innovation

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Tableau further democratizes analytics with AI-fueled features

CIO Business Intelligence

At Tableau Conference 2024 in San Diego today, Tableau announced new AI features for Tableau Pulse and Einstein Copilot for Tableau, along with several platform improvements aimed at democratizing data insights. This feature can automate a data transformation pipeline with step-by-step suggestions for preparing data for analysis.

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Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries

AWS Big Data

Alternatively, you can use AWS Glue for Apache Spark, which provides built-in support for bucketing configurations during the data transformation process. noaa_remote_original" ; Your data should look like the following screenshot. There are two folders: data and metadata. Drill down to data.

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Stream real-time data into Apache Iceberg tables in Amazon S3 using Amazon Data Firehose

AWS Big Data

To learn more about how to process Firehose records using Lambda, see Transform source data in Amazon Data Firehose. After executing your Lambda function, Firehose looks for routing information and operations in the metadata fields (in the following format) provided by your Lambda function. b64decode(record['data']).decode('utf-8')

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Melting the ice — How Natural Intelligence simplified a data lake migration to Apache Iceberg

AWS Big Data

The data is stored in Apache Parquet format with AWS Glue Catalog providing metadata management. While this architecture supported NI analytical needs, it lacked the flexibility required for a truly open and adaptable data platform. The gold layer was coupled only with query engines that supported Hive and AWS Glue Data Catalog.