AWS Big Data

APRIL 3, 2024

Iceberg tables maintain metadata to abstract large collections of files, providing data management features including time travel, rollback, data compaction, and full schema evolution, reducing management overhead. Snowflake integrates with AWS Glue Data Catalog to retrieve the snapshot location.

Data Lake 97

Data Lake Snapshot Metadata Data Architecture 97

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. In early 2022, AWS announced general availability of Athena ACID transactions, powered by Apache Iceberg. The snapshot points to the manifest list.

Data Lake 119

Data Lake Data Processing Metadata Snapshot 119

Cloudera

OCTOBER 11, 2022

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. They all should work on shared data of any type – with common metadata management – ideally open. The challenge for AI is how to do data in all its complexity – volume, variety, velocity.

Snapshot 90

Snapshot Data Science Digital Transformation Metadata 90

Cloudera

AUGUST 26, 2021

Before we jump into the data ingestion step, here is a quick overview of how Ozone manages its metadata namespace through volumes, buckets and keys. . If created using the Filesystem interface, the intermediate prefixes ( application-1 & application-1/instance-1 ) are created as directories in the Ozone metadata store.

Data Science 109

Data Science Forecasting Metadata Machine Learning 109

Cloudera

JUNE 2, 2021

As an important part of achieving better scalability, Ozone separates the metadata management among different services: . Ozone Manager (OM) service manages the metadata of the namespace such as volume, bucket and keys. Datanode service manages the metadata of blocks, containers and pipelines running on the datanode. .

Metadata 95

Metadata Snapshot Testing Management 95

AWS Big Data

JULY 3, 2023

With scalable metadata indexing, Apache Iceberg is able to deliver performant queries to a variety of engines such as Spark and Athena by reducing planning time. To avoid look-ahead bias in backtesting, it’s essential to create snapshots of the data at different points in time. Tag this data to preserve a snapshot of it.

Snapshot 85

Snapshot Data Lake Testing Strategy 85

Cloudera

APRIL 3, 2023

Every table change creates an Iceberg snapshot, this helps to resolve concurrency issues and allows readers to scan a stable table state every time. The table metadata is stored next to the data files under a metadata directory, which allows multiple engines to use the same table simultaneously. ID, TBL_ICEBERG_PART_2.NAME,

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79