AWS Big Data

OCTOBER 3, 2023

This means the data files in the data lake aren’t modified during the migration and all Apache Iceberg metadata files (manifests, manifest files, and table metadata files) are generated outside the purview of the data. In this method, the metadata are recreated in an isolated environment and colocated with the existing data files.

Data Lake 103

Data Lake Metadata Snapshot Recreation/Entertainment 103

AWS Big Data

OCTOBER 3, 2023

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations. with Spark 3.3.2,

Optimization 110

Optimization Snapshot Data Lake Metadata 110

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 addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

Data Lake 118

Data Lake Data Processing Metadata Snapshot 118

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 92

Snapshot Metadata Cost-Benefit Data Warehouse 92

AWS Big Data

MAY 24, 2023

Update your-iceberg-storage-blog in the following configuration with the bucket that you created to test this example. RIO is really great",date("2023-04-06"),2023)""") You can check the new snapshot is created after this append operation by querying the Iceberg snapshot: spark.sql("""SELECT * FROM dev.db.amazon_reviews_iceberg.snapshots""").show()

Data Lake 85

Data Lake Snapshot Metadata Optimization 85

AWS Big Data

AUGUST 16, 2023

On the Code tab, choose Test , then Configure test event. Configure a test event with the default hello-world template event JSON. Configure a test event with the default hello-world template event JSON. Provide an event name without any changes to the template and save the test event.

Data Lake 72

Data Lake Metadata Testing Snapshot 72

DataKitchen

AUGUST 8, 2023

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage.

Data Quality 130

Data Quality Testing Snapshot Reporting 130