AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). The metrics are saved in Amazon S3 to have a persistent output. onData(df).useRepository(metricsRepository).addCheck(

Data Quality 90

Data Quality Visualization Metadata Metrics 90

AWS Big Data

JUNE 28, 2023

Challenges Customers across industries today are looking to increase revenue and customer engagement by implementing near-real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. They would like to get these metrics in near-real time using a zero-ETL integration.

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

AWS Big Data

MARCH 21, 2024

Challenges Customers across industries today are looking to use data to their competitive advantage and increase revenue and customer engagement by implementing near real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. Choose Create policy.

Data Warehouse 88

Data Warehouse Metrics Statistics Optimization 88

AWS Big Data

MAY 19, 2023

Orchestrating the run of and managing dependencies between these components is a key capability in a data strategy. A common use case with this data would be to gather usage metrics on principals acting on your account’s resources for auditing and regulatory needs. AWS Glue ETL jobs may be one component in a more complex pipeline.

Machine Learning 84

Machine Learning Metrics Management Big Data 84