By using RudderStack to understand how users are finding and interacting with your site and then combining that with the data collected by your Marketo forms, you'll get deeper insights about your potential customers and provide higher quality leads to your sales team. - Source: dev.to / over 2 years ago

RudderStack lets you send the rich analysis from your warehouse to your entire customer data stack. Read more about how RudderStack's Warehouse Actions feature unlocks the data in your warehouse. - Source: dev.to / over 2 years ago

RudderStack is an open-source Customer Data Pipeline that helps you track your customer events from your web, mobile, and server-side sources and sends them to your entire customer data stack in real-time. We have also open-sourced our primary GitHub repository - rudder-server. - Source: dev.to / over 2 years ago

2/ Featured tools this week - Transform and RudderStack. Source: over 2 years ago

RudderStack is an open-source Customer Data Pipeline that allows you to track and send real-time events from your web, mobile, and server-side sources to your entire customer data stack. Our primary repository - rudder-server - is open-sourced on GitHub. - Source: dev.to / over 2 years ago

Google Dataset Search: Google's tool to help users find datasets stored across the web. Google Dataset Search. - Source: dev.to / 28 days 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: 6 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: 11 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