The June update to Apache Spark brought support for R, a significant enhancement that opens the big data platform to a large audience of new potential users. Support for R in Spark 1.4 also gives ...

For Starburst and Trino developers and data engineers, this announcement means that they no longer need to offload data to frameworks like PySpark and Snowpark to handle complex transformation ...

In part one of this two-part series, I described what many organizations have done in their first phase of digital transformation. Here, in part two, I explain how organizations should think ...

In Spark, a DataFrame is a distributed collection of data that is organized into columns and made available through an API in languages like Scala, Java, Python or R.

As Spark gets ready for its second act, Databricks is aiming to expand the footprint of its cloud service for handling machine learning and deep learning workloads. And it's taking steps to ...

Now in public preview, Snowpark Connect promises to reduce latency and complexity by moving analytics workloads where the data is. Snowflake is preparing to run Apache Spark analytics workloads ...