Vercel Reviews

Google BigQuery Reviews

Vercel mentions (539)

• Progressive Web Apps (PWA): A Comprehensive Guide

  Step 5: Deploy Service workers require https:// to ensure security. Deploy the project to Netlify, or Vercel. View the web app on the browser. - Source: dev.to / 3 days ago

• How our infrastructure supports last-minute studying

  Vercel for the Next.js frontend and part of the backend. The killer features for us include autoscaling, CDN and instant rollbacks out of the box 📦. - Source: dev.to / 3 days ago

• Vercel v0 and the future of AI-powered UI generation

  If you don’t have a Vercel account already, visit the Vercel website and create a free account. - Source: dev.to / 4 days ago

• Creating a Flask App: My issues as a beginner and how I learned to fix them.

  The errors were frustrating, and a friend suggested switching to Vercel. Even on Vercel, I faced troubleshooting issues. Here are a few examples of my errors:. - Source: dev.to / 4 days ago

• Frontend Technologies: Choosing Between React.JS and Angular

  Meanwhile, having used React.JS for some time in my personal and team projects, I enjoy working with React. It offers simplicity and is beginner-friendly. It is easy to understand. From my experience, React applications can easily be hosted to free hosting platforms like Vercel. - Source: dev.to / 9 days ago

Google BigQuery mentions (36)

• Next.js Deployment: Vercel's Charm vs. GCP's Muscle

  GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 3 days ago

• 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 / 10 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 / 10 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 / 11 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: about 1 year ago