table-ddl
MmFLaNK
| table-ddl | MmFLaNK | |
|---|---|---|
| - | 1 | |
| 2 | 6 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | almost 3 years ago | |
| TSQL | Java | |
| Apache License 2.0 | Apache License 2.0 |
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table-ddl
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Tracking mentions began in Dec 2020.
MmFLaNK
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FLaNK Stack Weekly on 26 June 2023
In this interactive session, Tim will lead participants through how to best build streaming data pipelines. He will cover how to build applications from some common use cases and highlight tips, tricks, best practices and patterns. He will show how to build the easy way and then dive deep into the underlying open source technologies including Apache NiFi, Apache Flink, Apache Kafka and Apache Iceberg. If you wish to follow along, please download open source projects beforehand. You can also download this helpful streaming platform: https://docs.cloudera.com/csp-ce/latest/installation/topics/csp-ce-installing-ce.html All source code and slides will be shared for those interested in building their own FLaNK Apps. https://www.flankstack.dev/
What are some alternatives?
airline-sentiment-streaming - Streaming with Airline Sentiment. Utilizing Cloudera Machine Learning, Apache NiFi, Apache Hue, Apache Impala, Apache Kudu
flume-to-nifi - Examples for Apache Flume to Apache NiFi
buildsqlx - Go database query builder library for PostgreSQL
flink-cdc - Flink CDC is a streaming data integration tool
bytebase - The GitLab/GitHub for database DevOps. World's most advanced database DevOps and CI/CD for Developer, DBA and Platform Engineering teams.
try - Inspect a command's effects before modifying your live system
stream-processing-with-apache-flink
kafkarest-processor - Apache NiFi 1.10.0 Processor to consume 1 Kafka message at a time, easily to tie into a REST Proxy
camel-integration-spring-boot-kafka - Apache Camel Integration with Spring-boot and Kafka with one application serving as a producer and the other consuming the messages
devpod - Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker.
arwes - Futuristic Sci-Fi UI Web Framework.
pygwalker - PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis