Highlight interesting links. Hide irrelevant ones. Remove whole websites from search results. Cyberpunk! Updated bookmark experience We all know what “bookmark” in every browser does, don’t we? What if I told you that bookmarks were insufficient and could be improved? I’m here to show you how :)
We usually add something valuable there, stuff we want to read later when we have time or not feeling lazy. It’s pretty usual for most of us that the “read later” folder is becoming “probably read later” and then finally “don’t know what’s here”.
How do we change it? Add the reminder to the link: set it up for the day you’re going to have some spare time, add a Mark to remind why you should do it. That’s the spirit!
What about valueless stuff? Links we don’t want to open again. “Why would we want it?” - you’re going to ask. Fair question. Have you ever been looking for an apartment? You should know then how it is to open the same apartment every day forgetting that you rejected it (and why). Once again you open the photo of the bathroom: “Ah, yeah, this bath is ugly...”. Don’t worry, you’re going to open the same room again tomorrow, the title photo is so promising…
Not with MarkALink! Add the link to the “Hide” group and forget about coming to this useless page henceforth. Whenever and wherever you see this link on the web, you’ll recognize it. And it’s only one of the cases where it could optimize your processes and save your time!
Based on our record, Google BigQuery seems to be more popular. 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
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