Nextjournal
Auratikum
Schema
Daisho
Notepin
Ghost
Deepnote
Telegra.ph
Google BigQuery
Databricks
Looker
Jupyter
Presto DB
Google Cloud Dataflow
Amazon EMR
Rakam
Nextjournal Google BigQueryBased on our record, Google BigQuery should be more popular than Nextjournal. 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.
Some interesting (to me) links from this talk: Maria https://www.maria.cloud/ Glamorous Toolkit https://gtoolkit.com/ Data Rabbit https://datarabbit.com/ NextJournal https://nextjournal.com/ Clerk https://github.com/nextjournal/clerk Enso https://enso.org/. - Source: Hacker News / over 1 year ago
But not all frontends are like that. https://nextjournal.com/ and https://pitch.com/ both use CLJS and I bet they have a huge amount of logic running on the frontend due to the nature of their apps. Source: almost 2 years ago
Looks great! I use sometimes Nextjournal to store and run code snippets in Clojure. But it’s different. Source: over 2 years ago
For this semester I would like to not use Box and use another tool to have my students have direct access to my notes without having to upload it directly to Canvas. I found two other notebooks, Deepnote and Nextjournal but not sure if they would be useful tools. I was wondering if any of you used these notebooks before or what tools have you used to share your lecture notes with students? Source: about 3 years 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: 12 months ago
Auratikum - Auratikum helps you organize, structure and innovate your writing project.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Schema - Organize, share and learn by adding structure to knowledge 🤓
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.
Daisho - Become a data science superhero, no code, no math
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.
