Typescript VS Google BigQuery

Typescript Reviews

Google BigQuery Reviews

Typescript mentions (25)

• Migrating from Jest to Vitest for your React Application

  Vitest supports ECMAScript modules (ESM), TypeScript out of the box. - Source: dev.to / 5 months ago

• 🎓 Monorepo College Lecture 2: Build Me Up Buttercup

  In this part, we will be initializing the project, getting all of the initial files out of the way and then configure Prettier as well as create the first package of our monorepo which will be a tsconfig package responsible for sharing TypeScript configuration files to the other packages we will create in the future. - Source: dev.to / about 1 year ago

• When type can be null or an array

  The owners of TypeScript need to do a better job at documenting language features. I always know that some sort of null/undefined handling is available but can never remember the name of the operators. And when you browse or search typescriptlang.org you cannot even find any docs on null forgiving operators. They spend more time detailing how JSX works than they do the basics of the language. Source: over 1 year ago

• The T3 Stack

  The core pieces are Next.js and TypeScript. Tailwind CSS is almost always included. If you’re doing anything resembling backend, tRPC, Prisma, and NextAuth.js are great additions too. Source: over 1 year ago

• Is it just me that feels this way?

  Good thing there's this project that adds types to javascript, and the fact that Python already has a way to add types to functions and has a program to check them. Source: over 1 year ago

Google BigQuery mentions (35)

• Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌

  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 / 8 months ago

• Modern data stack: scaling people and technology at FINN

  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

• Running Transformations on BigQuery using dbt Cloud: step by step

  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 / 9 months ago

• Do I need a cloud computing–based data cloud company

  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

• I used ChatGPT to get an Internship

  Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago