DataOps topic
DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.
kafka-helm-charts
In-deprecation. For Lenses please check lensesio/lenses-helm-charts. Soon Stream Reactor will also get its own Helm repository.
cauldron
Interactive computing for complex data processing, modeling and analysis in Python 3
siren
Siren provides an easy-to-use universal alert, notification, channels management framework for the entire observability infrastructure.
scaleph
Open data platform based on Kubernetes. Scaleph supports SeaTunnel、Flink and Doris backended by SeaTunnel on Flink engine、Flink Kubernetes Operator and Doris operator.
aws-ddk
An open source development framework to help you build data workflows and modern data architecture on AWS.
noronha
DataOps framework for Machine Learning projects.
lance
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckD...
apsara
Apsara is an open-source re-usable UI components built using Radix UI and CSS modules to power Raystack projects.
charts
This repository is home to the original helm charts for products throughout the open data platform ecosystem.