Python and related tooling updates cover CI performance, Django concurrent task APIs, terminal-based code assistance, and guidance for debugging data pipelines and terminal UIs.
Building Secure Data Pipelines: Where SAST Fits in the Development Lifecycle
Data pipelines move sensitive data across systems and are vulnerable; SAST scans pipeline code, configs, and infrastructure to catch flaws before production.
Building Secure Data Pipelines: Where SAST Fits in the Development Lifecycle
Data pipelines move sensitive data across systems and are vulnerable; SAST scans pipeline code, configs, and infrastructure to catch flaws before production.
Decathlon Switches to Polars to Optimize Data Pipelines and Infrastructure Costs
Migrating small-to-medium data workloads from Apache Spark to Polars yields major performance and cost improvements by enabling single-node execution and faster in-memory processing.
Nexla Launches Express: A Conversational Platform for AI Data Engineering
Express enables natural-language creation of production-ready data pipelines by automating data discovery, connection, and transformation without manual coding.