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Google BigQuery might be a bit more popular than Spark Mail. We know about 35 links to it since March 2021 and only 30 links to Spark Mail. 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.
Using https://sparkmailapp.com/ for email, where I put in all my email IDs and make it a ritual to finish all email in one go once in the day, I habit bundle the email with coffee always. Source: 6 months ago
Regarding email, I find the Mail app to be adequate for most purposes. However, I do prefer Mimestream on Mac and Spark on iOS for their user interface. Specifically, I find Spark on Mac to be a bit heavy. It is worth noting that I use custom domain email hosted through Apple instead of Gmail. Source: about 1 year ago
Apps like Notion,Forest, Veamly orSpark can be useful. Source: about 1 year ago
Nope, I like Spark on MacOS and iOS and the Fastmail web interface on everything else. Source: about 1 year ago
I use Spark Mail. I think it can fulfill all the requirements you listed. Source: about 1 year 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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