What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark ...

Deep Learning training and Inference is compute intensive and typically performed on GPUs, while large-scale data engineering was typically programmed in Scala on multi-CPU distributed Apache Spark.

This article explores key insights from Hands-On Big Data Engineering, discussing why data engineering is critical in the AI-driven era, how enterprises can harness it for innovation and what the ...

This week at Spark Summit, data management companies are rolling out new Spark integrations and support at Spark Summit to enable their users to take advantage of the open source data processing ...

Python support in Spark has improved so much that it even gained the approval of Wilson, the Airbnb data engineer. “Things have changed in the data engineering space,” Wilson said in another video ...

Prophecy.io has announced the rollout of the new SaaS version of its unique low code data engineering platform, which is designed for data practitioners. Prophecy aims to help businesses accelerate ...

The new library (also known as Spark ML) is based on Spark’s Dataframe API and applies optimizations to the data pipeline. This article demonstrates K-means clustering benchmarking as a case study for ...

Data scientists and software engineers work in different ways and use different tools. But both personas will feel more comfortable developing applications in the new version of Databricks Data ...