Search Results for "filesystems"

...Instead of forcing you to change how you write your code, the package by default bootstraps tenancy automatically, in the background. Database connections are switched, caches are separated, filesystems are prefixed, etc. Out of the box, the package makes the following things tenant-aware: databases, caches, filesystems, queues, redis stores. This means that if you've already written your app and are looking to make it multi-tenant, you don't have to change anything.

Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems...

...Developers program against high-level APIs—DataStream and Table/SQL—to express transformations, joins, and stateful patterns, while specialized libraries support CEP, machine learning workflows, and connectors. A rich connector ecosystem integrates with systems like Kafka, Kinesis, filesystems, JDBC sources/sinks, and object stores. Deployments span Kubernetes, YARN, Mesos, and standalone clusters, and operational features such as savepoints, state backends, and metrics make long-running jobs manageable in production.