Apache Airflow might be a bit more popular than Moz. We know about 68 links to it since March 2021 and only 46 links to Moz. 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.
Moz - "Optimizing Outlines for SERP Success" Uncover the tactics behind AgilityWriter's Outline Builder in optimizing content outlines for Search Engine Results Page (SERP) success, as discussed in Moz's expert SEO resources. Source: 7 months ago
Moz | Lead/Sr. Data Engineer | REMOTE (USA / Canada) | Full-time | https://moz.com/ We’re a small team building new ETL data pipelines in Go to power Moz’s frontend applications. We leverage AWS (Lambda, SQS, ECS, Eventbridge, S3, etc.), Terraform, and Docker to consume, transform, and aggregate the massive amounts of data provided by our platform & collections teams. I’m specifically looking for a senior engineer... - Source: Hacker News / 7 months ago
Moz: It provides various SEO tools, such as keyword research, rank tracking, link analysis, and on-page optimization recommendations. Source: 11 months ago
In addition to website metrics, track your local search rankings. Several tools, such as Moz Local and BrightLocal, can help you monitor your local search rankings and compare them to your competitors. Source: 12 months ago
Https://ahrefs.com - still prefer this the most. The intangible for me is the ease of custom filtering and data exports. Prices do keep going up tho... Https://moz.com - OG but IMHO they lost their edge; export and data reporting is lacking. 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 / 9 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 / 20 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 / 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: 8 months ago
Ahrefs - Ahrefs is a toolset for SEO and marketing. We have tools for backlink research, organic traffic research, keyword research, content marketing & more. Give Ahrefs a try!
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.
SEMRush - All-in-one Marketing Toolkit for digital marketing professionals.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Serpstat - Search analytics, Rank tracking, Backlink analysis and Site Audit tool.
Make.com - Tool for workflow automation (Former Integromat)