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Segment might be a bit more popular than Google BigQuery. We know about 40 links to it since March 2021 and only 35 links to Google BigQuery. 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.
Segment.com — Hub to translate and route events to other third-party services. 100,000 events/month free. - Source: dev.to / 3 months ago
Our app – Upollo – connects with your app event data (like Segment) and payment data (like Stripe) to analyze your users and instantly figure out if someone is an important player in your industry. We also help you convert more users, reduce churn, and expand single seats to teams within a company. We're SOC 2 certified and we take data security very seriously. Source: 5 months ago
Api.segment.io is an API for Twilio for data collection. Source: 5 months ago
Twilio Segment caters more to marketing and analytics use cases, offering a customer data platform (CDP) to manage customer data across various channels. Twilio Segment provides comprehensive customer data management by taking complex data from your applications, transforming it into a unified source, and subsequently linking it to various platforms. While its primary focus is on marketing, it can be integrated... - Source: dev.to / 8 months ago
I am working with our marketing team to implement segment.com into the rest of our technology stack. However I personally think that segment is EXTREMELY overpriced (at least for what we use it for). Source: 11 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 / 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
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