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 ...

With the proven ability to handle complex data engineering workloads and low-latency streaming, Spark Declarative Pipelines lays the foundation for the next generation of data processing and ...

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 ...

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 ...

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 ...

From data lakes to data swamps and back again. Data reliability, as in transactional support, is one of the pain-points keeping organizations from getting the most out of their data lakes. Delta ...

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 ...

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 ...