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. Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. The snapshot points to the manifest list.

Data Lake 116

Data Lake Data Processing Metadata Snapshot 116

Cloudera

FEBRUARY 14, 2024

It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts. Problem with too many snapshots Everytime a write operation occurs on an Iceberg table, a new snapshot is created. See Write properties.

Strategy 57

Strategy Optimization Snapshot Metadata 57

Cloudera

JULY 14, 2023

However, as there are already 25 million terabytes of data stored in the Hive table format, migrating existing tables in the Hive table format into the Iceberg table format is necessary for performance and cost. They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data.

Snapshot 70

Snapshot Metadata Data Warehouse Testing 70

Domino Data Lab

JUNE 26, 2019

Given the potential repercussions from inaccurate information (from mis-set expectations, funding mismatch to project delays) it didn’t surprise us that data science leaders packed the room at the Rev 2 Data Science Leaders Summit in New York for a live demo of our new “Control Center” functionalities designed specially for them. .

Data Science 65

Data Science Dashboards Metadata Snapshot 65

Cloudera

FEBRUARY 8, 2024

The snapshotId of the source tables involved in the materialized view are also maintained in the metadata. Subsequently, these snapshot IDs are used to determine the delta changes that should be applied to the materialized view rows. Furthermore, it is partitioned on the d_year column.

Snapshot 89

Snapshot Metadata Cost-Benefit Data Warehouse 89