article thumbnail

Why You Need End-to-End Data Lineage

erwin

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Data lineage helps answer questions about the origin of data in key performance indicator (KPI) reports, including: How are the report tables and columns defined in the metadata?

article thumbnail

What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

The CEO also makes decisions based on performance and growth statistics. An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata? Data Governance.

Metadata 111
Insiders

Sign Up for our Newsletter

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

article thumbnail

Exploring real-time streaming for generative AI Applications

AWS Big Data

A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base. Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently.

article thumbnail

The Future of Enterprise Architecture

erwin

For example, a COVID response plan will use EA to document if employees work from home, what their roles are, the projects on which they’re working, and what their schedules are. EA provides a way to drive change through every phase of recovery by providing an understanding of technology assets with business needs.

article thumbnail

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Refer to the respective service documentation for further details.

article thumbnail

The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

If you have access to existing data, take some time to document what the current performance looks like. Maybe they analyzed the metadata from pictures and found that there was a strong correlation between properties that rented often and expensive camera models. We have a path for that as well. .

Metrics 156
article thumbnail

The Modern Data Stack Explained: What The Future Holds

Alation

These automated pipelines will serve well in producing regular reports that measure key performance indicators in your organization. You can also create documentation or video tutorials. A great ELT tool will help you automate your data pipelines and make it easier to manage your data.