2002, Data Lake, Metadata and Testing

Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Schema evolution enables adding, deleting, renaming, or modifying columns without needing to rewrite existing data.

Snapshot

Snapshot Data Lake Metadata Recreation/Entertainment

Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

NOVEMBER 17, 2023

Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python.

Optimization

Optimization Statistics Metadata Data Lake

Data Leaders Brief

Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

Speed up queries with the cost-based optimizer in Amazon Athena

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