Based on our record, V (programming language) should be more popular than Google BigQuery. It has been mentiond 68 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.
That's true for a vast majority of devs, but not for everyone. There are people like Jon Blow and projects like https://vlang.io. - Source: Hacker News / about 1 month ago
V uses a GC by default, but it's easily disabled per function/module via the @[manualfree] attribute or for the entire project via `v -gc none` https://vlang.io. - Source: Hacker News / about 2 months ago
The creator of V made some big claims that raised a few eyeballs, they've gained a reasonable following over the years, have a pretty serious looking website (https://vlang.io) a beer-money level Patreon following and some corporate partnerships/sponsors. However have experienced some pretty brutal takedowns over the years, with some of the bolder claims about the language/compiler being exposed as being. A word I... - Source: Hacker News / 4 months ago
Fingers crossed for vlang[0]. It's like golang with better types and more syntactic sugar. Feels like a proper upgrade from Python. I really hope they succeed. [0]: https://vlang.io/. - Source: Hacker News / 8 months ago
And again a No true Scotsman. If that's the kind of attitude you have towards languages, you'll appreciate V infinitely more than you might be appreciating Rust. After all, it offers better solutions than Rust, like autofree, they just aren't there yet :). Source: 12 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 / 10 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 / 10 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 / 11 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 12 months ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: almost 1 year ago
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