Based on our record, Google BigQuery should be more popular than Brevo. 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.
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 / 9 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 / 9 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 / 10 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 11 months ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago
If you want more smooth delivery process you can also use SMTP relay services like AWS SES, sendinblue.com, smtp2go.com. Source: 12 months ago
This is essentially a watered down version of the "MVC" architecture. I use http lib of node for server and requests, cheerio for webscraping and Sendinblue for sending the emails and mongodb (atlas) for storing all of the data. I am a beginner in backend tech, so I am tryna learn, open to any input. Source: over 1 year ago
I got it working with sendinblue.com it allows up to 300 per day and is not hassle at all to setup! :). Source: over 1 year ago
In the mean time, I got integration working with sendinblue.com, which was fairly easy. Source: over 1 year ago
Always use a specific service for newsletters and transactional emails, such as Mailchimp or Sendinblue. - Source: dev.to / over 1 year ago
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
MailChimp - MailChimp is the best way to design, send, and share email newsletters.
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.
Campaign Monitor - Email marketing software built for designers and their clients to run successful email campaigns.
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.
MailerLite - Affordable Email Marketing Software. Get all features (Segmentation, Automation, A/B testing) for up to 1,000 subscribers & send unlimited emails for free!