Using data fabric architectures to solve a slew of an organization’s operational problems is a popular—and powerful—avenue to pursue. Though acknowledged as a formidable enabler of enterprise data ...

Companies may have approached ETL (extract, transform and load) with a set-it-and-forget-it mentality prior to Big Data, but as some organizations are discovering, that approach needs to change.

Discover the best cloud ETL tools for data engineers in 2025. Compare features, pricing, and use cases as we explore the most effective data integration solutions for modern organizations with ...

The emergence of real-time streaming analytics use cases has shifted the center of gravity for managing real-time processes. Because they operate in the moment, streaming engines by nature have been ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

Maria Anurag Reddy Basani, a seasoned expert in data engineering and analytics, has made significant strides in the field over the past decade. With experience spanning industries such as insurance, ...

Explore how Anusha Joodala's ETL design strategies empower business intelligence by transforming unstructured data into actionable insights across various domains.