The best parallel processing libraries for Python. Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.; Dask: Parallelizes Python data science ...

DSPy (short for Declarative Self-improving Python) ... The framework introduces an architecture inspired by software engineering principles and machine learning pipelines: Modules and signatures.

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

MemSQL , the leader in real-time databases for transactions and analytics, today announced significant advances for creating real-time data pipelines for Apache Spark, as well as support for the ...

The different modules in the pipeline are executed by a workflow management system (Wok, ... has been reimplemented in Python as a module of the IntOGen-mutations pipeline. ...

MemSQL, provider of real-time databases for transactions and analytics, today announced the latest version of MemSQL Ops which accelerates the use of Spark with Spark SQL pushdowns, allows for ...