The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Intelligent data pipeline startup DataBahn LLC said today it has closed on a $17 million early-stage funding round. The ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...

Santosh has Developed event-driven data pipelines using technologies like Azure Event Hub, Databricks, and Synapse Analytics ...

Schema.org Structured Data Markup The content on a website is called unstructured data because there is no formal organized structure to it that labels each part of the content in a machine ...

Google Proposes New Shipping Data Schema Including Type ShippingService Nov 5, 2024 - 7:21 am 0 — by Barry Schwartz ... Filed Under Google Search Engine Optimization ...

Many search engines rely on structured data to enhance user experiences – and this trend will likely intensify in 2025. For this reason, structured data is no longer a “nice-to-have” but an ...

A key data pipeline capability is to track data lineage, including methodologies and tools that expose data’s life cycle and help answer questions about who, when, where, why, and how data changes.

Learn how to handle data schema changes in your AI pipeline, using tools and techniques like data contract, schema evolution, data quality, automation, and collaboration.

Don't let your data pipeline security tech debt continue to weigh down your security credit score. Clean it up and keep your data projects moving.