A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.
The main features of ankurchavda/sparklearning are: Data Processing, Data and Databases, Data Engineering.
Open-source alternatives to ankurchavda/sparklearning include: adis98/wavestitch — WaveStitch is a deep generative framework for conditional time series synthesis. It enables the generation of… aimukhin/minfft — A minimalistic Fast Fourier Transform library. allenai/olmocr — Olmocr is a distributed document processing framework designed to convert PDF and image files into structured… antirez/smaz — Small strings compression library. antonmedv/fx — Fx is a command-line processing suite designed for the transformation, conversion, exploration, and visualization of… 599yongyang/datasetloom.
WaveStitch is a deep generative framework for conditional time series synthesis. It enables the generation of realistic time series data conditioned on auxiliary features (e.g., labels, metadata) and signal anchors (e.g., partial observations). This codebase provides tools for experimentation…
Olmocr is a distributed document processing framework designed to convert PDF and image files into structured markdown. It functions as a vision-based document parser that utilizes multimodal neural networks to interpret complex visual layouts and translate them into standardized text representations. The system operates as a remote inference orchestrator, offloading heavy document analysis tasks to external servers or cloud APIs to minimize local computational requirements. By employing a stateless worker architecture, it decouples document ingestion from inference, allowing for the distribu
