Machine Learning Metadata Snapshot Webinar 
Cloudera
JULY 13, 2023
A range of Iceberg table analysis such as listing table’s data file, selecting table snapshot, partition filtering, and predicate filtering can be delegated through Iceberg Java API instead, obviating the need for each query engine to implement it themself. The data files and metadata files in Iceberg format are immutable.
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,
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Cloudera
DECEMBER 15, 2022
Only metadata will be regenerated. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Iceberg tables supported on CDP, automatically inherit the centralized and persistent Shared Data Experience (SDX) services—security, metadata, and auditing—from your CDP environment. .
Cloudera
JULY 14, 2023
They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data. You could first create a snapshot table, run sanity checks on the snapshot table, and ensure that everything is in order. Hive creates Iceberg’s metadata files for the same exact table.
Cloudera
MAY 22, 2018
With Experiments, data scientists can run a batch job that will: create a snapshot of model code, dependencies, and configuration parameters necessary to train the model. save the built model container, along with metadata like who built or deployed it. save the built model container, along with metadata like who built or deployed it.
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