Heap VS Google BigQuery

Heap Reviews

Google BigQuery Reviews

Heap mentions (11)

• free-for.dev

  Heap.io — Automatically captures every user action in iOS or web apps. Free for up to 5,000 visits/month. - Source: dev.to / over 1 year ago

• Question about testID in prod vs dev builds

  Check out Heap for React Native - https://heap.io. Source: over 1 year ago

• All 2200+ companies in my db have a dedicated page now.

  How heavily does the site depend on heap.io for its core functionality? Like, say Heap went under completely out of the blue (god forbid) and you had to switch to Google analytics, how much tech debt are you in? Source: almost 2 years ago

• Thousands of Popular Websites See What You Type–Before You Hit Submit

  Aren't services like Heap effectively worse versions of this? On their landing page they outright list this as their value prop: > Heap collects all the data on your customers - automatically. What they click. Where they go. What they do, even when you’re not looking. All without the need for engineers. [1]: https://heap.io/. - Source: Hacker News / almost 2 years ago

• We (Still) Believe in Private Offices (2015)

  Author here, surprising to see this blog post of mine trending, but it has held up pretty well! Happy to answer any questions about my time at Stack Overflow. I've since moved on to Heap (https://heap.io/) and we are hiring. We're virtual first so we don't have private offices, but we have the same values about treating developers well and giving them the space they need to do deep work. We're hiring for basically... - Source: Hacker News / over 2 years 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 / 8 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: 10 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: 10 months ago