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Based on our record, Notepad++ should be more popular than Google BigQuery. It has been mentiond 169 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.
Whenever I need to live on a Windows system for any length of time, I install [notepad++](https://notepad-plus-plus.org) Do you prefer Notepad3 over Notepad++, and can you share why if so? - Source: Hacker News / 7 days ago
So, the only option left is to use regular expressions. You need a text editor that can "Find" and "Replace" using them - my choice is Notepad++ (for Windows people like me - shortcut Ctrl+H). - Source: dev.to / 4 months ago
If you sling text around regularly, why not treat yourself to a decent text editor? Both Notepad++ (Windows) and Notepadqq (Linux) are free, open-source, and a hell of a lot netter than Notepad. Source: 5 months ago
The most common way I use it is to right click a note and open a note in the default app which I have set .MD to open in Notepad++ which is a text editor with regex search/replace. Source: 5 months ago
Notepad ++ is similar to notepad but has a lot more features. There are more features but different colored text and the ability to search are a couple examples. And it's free. Source: 5 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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