Mochi might be a bit more popular than Google BigQuery. We know about 48 links to it since March 2021 and only 35 links to Google BigQuery. 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.
Check out Mochi if you’re looking for an alternative. It probably ticks most of your boxes already. https://mochi.cards/. - Source: Hacker News / 5 months ago
No one has mentioned it yet, so I'll drop this alternative: https://mochi.cards/ Much prettier than Anki, has a simpler algorithm that doesn't require rating difficulty, and has lots of the same features. I'm a subscriber just because of the cloud sync - wish I could self-host but I'm happy to support the developer. - Source: Hacker News / 5 months ago
Not OP, but I develop Mochi [0] which is a spaced repetition flash card app that has text-to-speech and a bunch of other stuff built in (transcription, dictionaries, etc.) that you might be interested in. [0] https://mochi.cards. - Source: Hacker News / 6 months ago
You can try Mochi (not my site) if you don't like Anki. Source: 10 months ago
I built Mochi [0] from the ground up to be local first. The architecture is built around pouchdb for the local database which syncs to and from a remote couchdb database. It's been a challenge to implement and in hindsight I wonder if it was even worth it. Unfortunately neither of these technologies are very widely used any more (if they ever were). I am glad there is a lot of development and research in this area... - Source: Hacker News / 10 months 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: about 1 year ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: about 1 year ago
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