batch
Cloud native batch scheduling system for compute-intensive workloads.
Volcano is a Kubernetes-native batch scheduling system, extending and enhancing the capabilities of the standard kube-scheduler. It provides a comprehensive set of features specifically designed to manage and optimize various batch and elastic workloads, including Artificial Intelligence (AI) / machine learning (ML) / deep learning (DL), bioinformatics / genomics, and other "Big Data" applications.
A lightweight batch processing queue for the heaviest loads.
Related contents:
Incremental Data Processing in PostgreSQL.
pg_incremental is a simple extension that helps you do fast, reliable, incremental batch processing in PostgreSQL.
When storing an append-only stream of event data in PostgreSQL (e.g. IoT, time series), a common challenge is to process only the new data. For instance, you might want to create one or more summary tables containing pre-aggregated data, and insert or update aggregates as new data arrives. However, you cannot really know the data that is still being inserted by concurrent transactions, and immediately aggregating data when inserting (e.g. via triggers) is certain to create a concurrency bottleneck. You also want to make sure that all new events are processed successfully exactly once, even when queries fail.
Patch codes are a set of 6 distinct barcode patterns (1, 2, 3, 4, 6 and T) that are typically used as document separators when scanning.