druid-datasets
nifi
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| druid-datasets | nifi | |
|---|---|---|
| 1 | 35 | |
| 0 | 4,381 | |
| - | 3.1% | |
| 1.2 | 9.9 | |
| about 1 year ago | 5 days ago | |
| Java | Java | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
druid-datasets
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Analysing Github Stars - Extracting and analyzing data from Github using Apache NiFi®, Apache Kafka® and Apache Druid®
Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. Nifi is very useful when data needs to be loaded from different sources. In this case, I will nifi to access the Github API as it is very easy to make repeated calls to a Http endpoint and get data from multiple pages. You can see what I did by downloading NiFi yourself and then adding my template from the Druid Datasets repo: https://github.com/implydata/druid-datasets/blob/main/githubstars/github_stars.xml
nifi
- FLaNK Stack Weekly 19 Feb 2024
- Ask HN: What are some unpopular technologies you wish people knew more about?
- FLaNK Stack Weekly for 13 November 2023
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Ask HN: What low code platforms are worth using?
Apache NIFI (https://nifi.apache.org/).
It uses the concept of Flow-based programming. Also its so underacknolged but this tool is very flexible. I have used as an Event Bus all the 3rd-Party Integrations.
- Apache Nifi: easy to use, powerful, reliable system to process, distribute data
- Tool decision - What architecture would you choose and why?
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Help with choosing techstack for a new DE team
Presently setting up Apache Nifi + Apache MiNiFi for the ETL portion of my work. NiFi was easy enough to figure out; but the docs for MiNiFi have been a pain due to differences between the Java and C++ versions. I then entirely configured it with the Java version so that it was easier to search for answers for the MiNiFi yaml syntax.
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MS SQL Change Data Capture
Found it
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Is there something like airflow but written in Scala/Java?
Apache Camel Apache Nifi Spring Cloud
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Json splitting and Rerouting (new to nifi)
NIFI, like most Apache projects does most of its discussion on its mailing lists, but also has a slack.
What are some alternatives?
stargazers - Analyze GitHub stars
Logstash - Logstash - transport and process your logs, events, or other data
ApacheKafka - A curated re-sources list for awesome Apache Kafka
superset - Apache Superset is a Data Visualization and Data Exploration Platform
meltano
meltano - Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Apache Cassandra - Mirror of Apache Cassandra
django-project-template - The Django project template I use, for installation with django-admin.
nifi-extracttext-processor - Apache NiFi Custom Processor Extracting Text From Files with Apache Tika
grouparoo - 🦘 The Grouparoo Monorepo - open source customer data sync framework