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Based on our record, Google BigQuery seems to be a lot more popular than DevSpace (for Kubernetes and Docker). While we know about 35 links to Google BigQuery, we've tracked only 3 mentions of DevSpace (for Kubernetes and Docker). 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 / 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
DevSpace is very similar to Skaffold in terms of features, with the added benefits of a dedicated UI and a two-way file sync. The UI gives your team an overview of the stack and easy access to logs. At the same time, the file synchronization feature makes their development process faster by letting them directly change code from a running container. - Source: dev.to / about 2 years ago
DevSpace is an open-source developer tool for Kubernetes that lets you develop and deploy cloud-native software faster. It is a client-only CLI tool that runs on your machine and works with any Kubernetes cluster. You can use it to automate image building and deployments, to develop software directly inside Kubernetes and to streamline workflows across your team as well as across dev, staging and production. - Source: dev.to / about 2 years ago
And speaking of cycle times, the Loft team has also built DevSpace, a developer workflow tool for engineers working with Kubernetes clusters. Have you ever waited around for a new container to build so you can see if your changes work? Or even worse, for a CI pipeline to run integration tests? With DevSpace you can hot reload your app in the running container as you make changes. It's super cool and it's open... - Source: dev.to / about 3 years ago
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Okteto - Development platform for Kubernetes applications.
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.
Telepresence - Telepresence is an open source tool that lets you develop and debug your Kubernetes services...
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.
Garden.io - Cloud native & Kubernetes testing done right