Remove KPI Remove Metadata Remove Structured Data
article thumbnail

Why You Need End-to-End Data Lineage

erwin

Whether you need to drill down for a granular view of a particular data set or create a high-level summary to describe a particular system and the data it relies on, end-to-end data lineage must be documented and tracked, with an emphasis on the dynamics of data processing and movement as opposed to data structures.

article thumbnail

Top 10 Key Features of BI Tools in 2020

FineReport

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Implement data quality checks on Amazon Redshift data assets and integrate with Amazon DataZone

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Amazon DataZone natively supports data sharing for Amazon Redshift data assets. In the post_dq_results_to_datazone.py

article thumbnail

Exploring real-time streaming for generative AI Applications

AWS Big Data

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. The following diagram illustrates an example workflow for CDC streaming ingestion and processing for unified customer profiles. versions).

Data Lake 104