Cardanit is a user-friendly, collaborative tool for modeling business processes and the decisions driving them. Based on BPMN and DMN standards, Cardanit provides a dynamic and frictionless modeling experience. With Cardanit, business analysts, consultants, and managers can map their processes and streamline decisions with a powerful, easy-to-use business process management editor. Cardanit allows a fast, effortless experience and smooth collaboration with peers and clients. Along with customizable diagrams and automatic report generation, the tool makes the visualization and understanding of processes and decisions easier, even for non-BPM experts.
Business specialists can easily model and optimize the business they analyze, regardless of the industry, whether it’s financial services, supply and logistics, ICT, or retail.
Developed by ESTECO, an Italian software house, Cardanit incorporates 20-year experience in process automation and standards-based solutions. ESTECO has its core business in numerical optimization and simulation data management for the engineering world, with more than 300 international organizations choosing its solutions.
Cardanit was born in 2013 as a research project and turned ESTECO strong background in data analysis and UX design into a brand-new solution for the BPM market.
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Based on our record, Apache Airflow seems to be more popular. It has been mentiond 67 times since March 2021. 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.
An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 11 days 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 / about 1 month 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 / 4 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 / 8 months ago
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