Based on our record, Apache Airflow should be more popular than Google Analytics. It has been mentiond 68 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.
Let’s discuss Google Analytics in particular and other tools in general, which are available online to measure the website performance. Source: 10 months ago
Google Analytics: A free tool from Google that provides in-depth website analytics and performance metrics, including traffic sources, user behavior, and conversions. Source: 10 months ago
Automating your affiliate marketing has a clear advantage: scalability. As your affiliate network grows, manual management becomes difficult. Automation makes it easier to handle a larger volume of affiliates, communicate with them, and monitor their performance. This means that your affiliate program can grow without sacrificing efficiency. You can also use automation tools to track and report affiliate... Source: 11 months ago
Google Analytics: It provides in-depth insights into website traffic, user behavior, conversions, and other important metrics. Source: 12 months ago
Implement a robust website analytics tool, such as Google Analytics, to track key metrics and gather insights about user behavior. Set up goals and conversion tracking to measure the impact of your website redesign or migration on your business objectives. Source: about 1 year ago
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 13 days ago
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 / 24 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 2 months 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 / 5 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: 8 months ago
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
Matomo - Matomo is an open-source web analytics platform
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Adobe Analytics - Adobe Analytics is an industry-leading solution that empowers you to understand your customers as people and steer your business with customer intelligence.
Make.com - Tool for workflow automation (Former Integromat)