Microsoft adds retail pricing and cost breakdowns to SQL Server migration assessments in Azure Arc, making planning faster and easier.

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning.

Python is a very user-friendly and effective language for data science research, and it is free and open-source. Easy platform integration is made possible by its interoperability with languages like ...

Search before asking I had searched in the issues and found no similar issues. Description Doris implements a high-speed data link based on the Arrow Flight SQL protocol, supporting multiple languages ...

This is a comprehensive Apache Hadoop and Spark comparison, covering their differences, features, benefits, and use cases.

Predicate Pushdown Suitable predicates that do simple comparisons between indexed fields and literals are evaluated by the low-level turbine_cmd hdx_reader using Hydrolix indexes. Note that hdx_reader ...