Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

For data engineers looking to leverage Apache Spark™'s immense growth to build faster and more reliable data pipelines, Databricks is happy to provide The Data Engineer's Guide to Apache Spark. This ...

Here’s an image for you. There is no such thing as a data lake. The multi-petabyte storage racks nearly overflowing with unstructured and semi-structured data that are being built by hyperscalers, ...

Recent surveys and forecasts of technology adoption have consistently suggested that Apache Spark is being embraced at a rate that outperforms other big data frameworks Initially open-sourced in 2012 ...

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

As the most active open-source project in the big data community, Apache SparkTM has become the de-facto standard for big data processing and analytics. Spark’s ease of use, versatility, and speed has ...

Data and AI platform Databricks has announced its agreement to acquire data management company Tabular. This deal is particularly significant because of both what it means, and the people involved.

Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...