Based on our record, Strapi should be more popular than Google BigQuery. It has been mentiond 313 times since March 2021. 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.
Https://strapi.io/ does this and much more. It's primarily headless CMS but it produces solid db schema and sensible rest API. Entities can be defined in json or in UI. You get OAuth, admin panel, plugin ecosystem. - Source: Hacker News / 5 days ago
Before starting the tutorial on developing a personal target tracking application with Flutter, Riverpod, Strapi, and GraphQL, ensure you meet the following requirements:. - Source: dev.to / 8 days ago
Strapi is a headless CMS that helps you build content-based sites with the frontend of your choice by providing a reliable, customizable API backend. Strapi allows you to define your own content types, includes a feature-rich admin panel, and provides all of the building blocks you need to develop a comprehensive editing and publication workflow. - Source: dev.to / 12 days ago
Strapi provides a centralized data managing platform. This makes it easier to organize, update, and maintain the FAQ data. It also automatically generates a RESTful API for accessing the content stored in its database. - Source: dev.to / about 2 months ago
Https://prisma.io is popular as I understand it. I've been trying out https://strapi.io the last week and am thoroughly impressed. They both do much more than build queries. One big thing both do is automate database migration calculations. Strapi goes further and gives you a CMS and admin UI on top, as well as doing a lot more of the complex query building from a json object. Both still require a fundamental... - Source: Hacker News / about 2 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 / 9 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 / 9 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 / 10 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 11 months ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago
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