Based on our record, Flutter.dev seems to be a lot more popular than Databricks. While we know about 340 links to Flutter.dev, we've tracked only 17 mentions of Databricks. 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.
If you are considering Electron/React then I would suggest adding Flutter to your list of technologies to consider. It uses Dart (a language similar to C#) and has a lot going for it… relatively quick to get up to speed with, fantastic developer experience (e.g., hot reload, great IDE support, good development tools) and very strong cross-platform support: it generates native iOS, Android, MacOS, Windows and Linux... - Source: Hacker News / about 1 month ago
You can find the React Native documentation here and Flutter Documentation here. - Source: dev.to / about 2 months ago
Download the Flutter SDK: Visit the Flutter official website (https://flutter.dev/), click "Get Started", select the download link suitable for your operating system, and download the Flutter SDK zip file. - Source: dev.to / 3 months ago
Flutter: Google's UI toolkit that can compile to iOS and Android platforms from a single codebase. - Source: dev.to / 4 months ago
I see you have mobile dev experience so my advice would be: Step 1: learn Flutter/Dart https://flutter.dev/ Step 2: learn some decent architecture such as https://resocoder.com/2020/03/09/flutter-firebase-ddd-course-1-domain-driven-design-principles/ Step 3: Make an app using that architecture and put it on Github to demonstrate your understanding of the architecture and the flutter ecosystem. Something with a... Source: 5 months ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / over 1 year ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / almost 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
React Native - A framework for building native apps with React
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
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.
Content Grabber - Content Grabber is an automated web scraping tool.
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.