Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Rakam
Informatica
Concurrent
F#
Clojure
Elixir
C++
D (Programming Language)
Go Programming Language
Perl
Pike programming language
We recommend LibHunt F# for discovery and comparisons of trending F# projects.
Databricks F#F# might be a bit more popular than Databricks. We know about 22 links to it since March 2021 and only 18 links to 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.
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโs 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: over 3 years 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 / almost 4 years 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 / about 4 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 / over 4 years ago
We'll use F# to implement this algorithm because functional programming is a good choice for "black box" problems like this that have no side-effects, and .NET is an easy, fast platform to work with. (F# is actually a great all-purpose language for just about anything, but I digress.). - Source: dev.to / 9 months ago
It's an open-source project with its own F# Software Foundation. If Microsoft drops it, I think it would continue. https://fsharp.org/. - Source: Hacker News / over 1 year ago
Before Rich made Clojure for the JVM, he wrote dotLisp[1] for the CLR. Not long after Clojure was JVM hosted, it was also CLR hosted[2]. One of my first experiences with ML was F#[3], a ML variant that targets the CLR. These all predate the MIT licensed .net, but prior to that there was mono, which was also MIT licensed. 1: https://dotlisp.sourceforge.net/dotlisp.htm 2: https://github.com/clojure/clojure-clr. - Source: Hacker News / almost 2 years ago
Oh yeah. A key hindrance of F# is that MS treats it like a side project even though it's probably their secret weapon, and a lot of the adopters are dotnet coders who already know the basics so the on-boarding is less than ideal. https://fsharp.org/ is the best place to actually start. https://fsharpforfunandprofit.com/ is the standard recommendation from there but there's finally some good youtube and other... - Source: Hacker News / over 2 years ago
Naturally Iโd recommend using a better language such as ReScript or Elm or PureScript or F#โs Fable + Elmish, but โReactโ is the king right now and people perceive TypeScript as โless riskyโ for jobs/hiring, so here we are. - Source: dev.to / almost 3 years ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Clojure - Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.
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.
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
