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.

Optimization 109

Optimization Snapshot Data Lake Metadata 109

AWS Big Data

NOVEMBER 16, 2023

Data Vault overview For a brief review of the core Data Vault premise and concepts, refer to the first post in this series. For more information, refer to Amazon Redshift database encryption. Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

AWS Big Data

APRIL 3, 2024

By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes.

Data Quality 88

Data Quality Visualization Metadata Metrics 88

AWS Big Data

JANUARY 8, 2024

Refer to Amazon Kinesis Data Streams integrations for additional details. Real-time analytics architecture for time series Time series data is a sequence of data points recorded over a time interval for measuring events that change over time. State snapshot in Amazon S3 – You can store the state snapshot in Amazon S3 for tracking.

Analytics 111

Analytics IoT Data-driven Snapshot 111

AWS Big Data

JULY 28, 2023

Data management and governance Addressing the challenges mentioned requires a combination of technical, operational, and legal measures. Tagging Consider tagging your Amazon Redshift resources to quickly identify which clusters and snapshots contain the PII data, the owners, the data retention policy, and so on.

Snapshot 80

Snapshot Metadata Measurement Data Warehouse 80

AWS Big Data

OCTOBER 11, 2023

Frequent materialized view refreshes on top of constantly changing base tables due to streamed data can lead to snapshot isolation errors. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day. We use two datasets in this post.

Management 104

Management Metadata Analytics Dashboards 104

AWS Big Data

FEBRUARY 13, 2023

To do this, we required the following: A reference cluster snapshot – This ensures that we can replay any tests starting from the same state. A set of queries from the production cluster – This set can be reconstructed from the Amazon Redshift logs ( STL_QUERYTEXT ) and enriched by metadata ( STL_QUERY ).

Snapshot 65

Snapshot Data Warehouse Testing Analytics 65