AWS Big Data

OCTOBER 3, 2023

For our testing, we generated about 58,176 small objects with total size of 2 GB. For running the Amazon EMR tests, we used Amazon EMR version emr-6.11.0 Check the snapshot table to see that a new snapshot is created for the table with the operation replace. with Spark 3.3.2, and JupyterEnterpriseGateway 2.6.0.

Optimization 105

Optimization Snapshot Data Lake Metadata 105

AWS Big Data

OCTOBER 3, 2023

An in-place migration can be performed in either of two ways: Using add_files : This procedure adds existing data files to an existing Iceberg table with a new snapshot that includes the files. Unlike migrate or snapshot, add_files can import files from a specific partition or partitions and doesn’t create a new Iceberg table.

Data Lake 98

Data Lake Metadata Snapshot Recreation/Entertainment 98

AWS Big Data

MARCH 2, 2023

Whenever there is an update to the Iceberg table, a new snapshot of the table is created, and the metadata pointer points to the current table metadata file. At the top of the hierarchy is the metadata file, which stores information about the table’s schema, partition information, and snapshots. Choose Advanced options.

Data Lake 113

Data Lake Data Processing Metadata Snapshot 113

AWS Big Data

NOVEMBER 10, 2023

This interface allows them to access and integrate the necessary data from the EDW into the data pipelines, enabling efficient development and testing of features. This is particularly valuable for Type 2 slowly changing dimension (SCD) and timespan accumulating snapshot facts. options(**read_config).option("query", cast("string")).dropDuplicates())

Data Processing 89

Data Processing Data Lake Data Warehouse Optimization 89

AWS Big Data

JULY 27, 2023

In this post, we answer that question by using Redshift Test Drive , an open-source tool that lets you evaluate which different data warehouse configurations options are best suited for your workload. Redshift Test Drive uses this process of workload replication for two main functionalities: comparing configurations and comparing replays.

Testing 63

Testing Data Warehouse Data Processing Snapshot 63

Cloudera

FEBRUARY 8, 2024

Subsequently, these snapshot IDs are used to determine the delta changes that should be applied to the materialized view rows. Hive does this by asking the Iceberg library to return only the rows inserted since that table’s last snapshot when the materialized view was last rebuilt/created.

Snapshot 93

Snapshot Metadata Cost-Benefit Data Warehouse 93

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 80

Data Lake Snapshot Metadata Optimization 80