Demo, Metadata, Snapshot and Unstructured Data

Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Supported formats are Avro, Parquet, and ORC.

Data Lake

Data Lake Metadata Snapshot Recreation/Entertainment

Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake

Data Lake Data Processing Metadata Snapshot

Data Leaders Brief

Migrate an existing data lake to a transactional data lake using Apache Iceberg

Use Apache Iceberg in a data lake to support incremental data processing

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