Based on our record, Google BigQuery should be more popular than Ahoy Ruby Gem. It has been mentiond 35 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.
A full-featured, mountable analytics dashboard for your Rails app, which is a blatant rip-off of heavily inspired by Plausible Analytics, powered by Ahoy. Open source, though lots of changing parts: https://github.com/joshmn/ahoy_captain. Source: 9 months ago
For logging which functions were used you can use ahoy. Source: about 1 year ago
I've slowly started ripping Google Analytics out of my Rails projects and replacing it with https://github.com/ankane/ahoy. It's so much better! I can just use SQL to see what's going in and not get overwhelmed with 100's of visualizations and complicated dashboards. - Source: Hacker News / almost 2 years ago
I'm using the ahoy gem for analytics on my website (https://github.com/ankane/ahoy). Source: about 2 years ago
I did server-side tracking test in a rails app, where I implemented a tracking gem called ahoy and blazer for visualization. It is very easy to set up, but a bit hard to use. Blazer can do a very basic visualization of the data if you know your SQL queries. - Source: dev.to / over 2 years 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 / 8 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 / 8 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 / 9 months ago
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
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 10 months ago
Plumb5 - Plumb5 is a real-time end-to-end customer centric digital analytical & marketing automation utility system helping marketers to generate more leads using automated tools.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Woopra - Track your customers' web and mobile activity, forms, emails, support tickets and more, all in one place with customer analytics. Analyze and take action.
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.
Leadfeeder - Leadfeeder converts your website visitors into sales. Connect your website's Google Analytics to Leadfeeder and unlock the power of seeing who`s visiting your site!
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.