Beekeepers mission is to transform the way 2 billion frontline employees work with a mobile-first communication platform that reaches every shift, location, and language through real-time one-on-one and group messaging. Dedicated streams deliver important operational communications to your entire workforce or specific subgroups. Managers keep staff productive and turnover low by automating workflows and messaging to their teams, while leveraging an analytics dashboard to measure engagement.
Based on our record, Apache Airflow seems to be a lot more popular than Beekeeper. While we know about 66 links to Apache Airflow, we've tracked only 1 mention of Beekeeper. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Stay up-to-date with the latest trends and best practices in Erlang development. Apply here: https://grnh.se/f58826971us To learn more about Beekeeper check out our Technology Blog https://medium.com/beekeeper-technology-blog for the latest articles or go to our website https://beekeeper.io. - Source: Hacker News / 12 months ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 13 days ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
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