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Based on our record, Google BigQuery seems to be a lot more popular than OpenStartup.dev. While we know about 35 links to Google BigQuery, we've tracked only 3 mentions of OpenStartup.dev. 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.
This is called open startup.. you can see a list at https://openstartup.tm. - Source: Hacker News / 10 months ago
I don't know about _fully open_, but I think Buffer is an example of a company that shares unusually much. https://buffer.com/resources/revenue-dashboard/ There's some sort of list at https://openstartup.tm/ but I think a lot of companies listed there are open with only select pieces of info. Both of these are about public sharing though. Employee sharing is trickier to know from the outside. Perhaps Valve... - Source: Hacker News / almost 2 years ago
- https://openstartup.tm/ pros: if you're an early adopter, it's nice to know how the service you're investing time in is doing financially. One of the biggest risks of choosing a new/unknown service, as a consumer, is that it will fail/close and you'll have to migrate somewhere else. I think the open company movement has other benefits as well. Behind just financials, but companies sharing their employee... - Source: Hacker News / about 2 years ago
Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 10 months ago
Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 10 months ago
Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 11 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 12 months ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 12 months ago
Open Startups - Open startups with their metrics, interviews, and stories
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Product Market Fit Toolkit - Measure your product-market fit using data you already have
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Open Startup List - Get some insights on incredible startups
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.