Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

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Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

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 ...

We’re living in a world of big data. The current generation of line-of-business computer systems generate terabytes of data every year, tracking sales and production through CRM and ERP. It’s a flood ...

Our analysis and end-user discussions continue to demonstrate that a new modern data stack is emerging along with sophisticated data-oriented “personas,” such as data analysts and data scientists.

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