Apache Airflow might be a bit more popular than Dataset Search. We know about 68 links to it since March 2021 and only 52 links to Dataset Search. 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.
Google Dataset Search: Google's tool to help users find datasets stored across the web. Google Dataset Search. - Source: dev.to / about 2 months ago
While looking I found out google has a separate search engine for datasets: https://datasetsearch.research.google.com/ That might be helpful if you want to keep looking. Source: 7 months ago
For more researchy bits : https://datasetsearch.research.google.com/ Kaggle is the go-to for sure. Https://www.makeovermonday.co.uk/data/ The Makeover Mondays have gone on for so long, it has a good bank of fun data sets too by now. Source: 12 months ago
Have you checked out Google's dataset search tool? https://datasetsearch.research.google.com/. Source: about 1 year ago
In my current work, we deal with Banking and Finance. Then try searching for datasets (Google Datasets or Kaggle) and try doing Exploratory Data Analysis -- univariate, bivariate, and multivariate. From your EDA, you can see interesting insights right away. Then from what gleamed, you decide on whether you'll do. It could be (but not limited to):. 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 / 15 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 / 26 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
Commons Marketplace - A marketplace to find and publish open data sets.
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.
Medium API - Official Medium API
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
SnowyOwl - A user friendly tool to manage your dataset
Make.com - Tool for workflow automation (Former Integromat)