Based on our record, Insomnia REST should be more popular than Google BigQuery. It has been mentiond 121 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.
To get started with Insomnia, download it from the official website, install it, and create a new request by selecting the appropriate HTTP method and entering your endpoint URL. - Source: dev.to / about 18 hours ago
Use tools like Postman or Insomnia to test the API endpoints and ensure they behave as expected. - Source: dev.to / about 2 months ago
We will be performing all of the authentication requests manually, however for testing purposes, you might want to use an API testing tool such as Postman or Insomnia. - Source: dev.to / 2 months ago
For a very long time, the go-to tool was curl. Great, always available command line tool. Unfortunately, there is one small issue. It’s hard to keep requests and collect them in collections, it’s great for one-time shots or debugging, but for constant working with API could be painful. To solve it, I started working with tools like Postman/Insomnia. Then eh... Strange licensing model, or changes which occurred... - Source: dev.to / 3 months ago
At first, I used Postman for testing APIs because it had a lot of features. But I switched to Insomnia because it was easier to use and kept everything organized. The big problem with Insomnia was that it deleted all my saved work when it made me create an account to keep using it. - Source: dev.to / 3 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
Postman - The Collaboration Platform for API Development
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Hoppscotch - Open source API development ecosystem
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.
Paw.cloud - Paw is a REST client for Mac.
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.