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DataOps
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.
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Open data platform based on Kubernetes. Scaleph supports SeaTunnel、Flink and Doris backended by SeaTunnel on Flink engine、Flink Kubernetes Operator and Doris operator.
dataops
data-platform
flink
dag
doris
flink-sql
seatunnel
flink-sql-gateway
flink-kubernetes
flink-kubernetes-operator
doris-operator
doris-manager
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Updated
Oct 15, 2024 - Java
Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.
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Sep 12, 2024 - Java
Cloud Native DataOps & AIOps Platform | 云原生数智运维平台
kubernetes
engineering
application
devops
ops
saas
dataops
maintenance
k8s
sre
flink
cloudnative
operation
aiops
oam
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Updated
Apr 11, 2024 - Java
Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.
framework
influxdb
prometheus
stream-processing
dataops
apache-flink
apache-kafka
real-time-analytics
real-time-processing
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Updated
Aug 29, 2023 - Java
IntelliJ plugin for editing DataKitchen Platform recipes.
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Updated
Feb 7, 2022 - Java