Based on our record, Protobuf should be more popular than Databricks. It has been mentiond 82 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.
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 / almost 2 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 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
Protocol Buffers: https://developers.google.com/protocol-buffers. - Source: dev.to / over 1 year ago
ProtocolBuffers’ OneOf message addresses the case of having a message with many fields where at most one field will be set at the same time. - Source: dev.to / over 1 year ago
That's definitely the bigger thing. I think something like Protocol Buffers (Protobuf) is what you're looking for there. Output the data and consume it by something that can handle the analysis. Source: over 1 year ago
These protocols prevent an O(N x M) explosion of code that have to solve for many cases. For example, since JSON is an almost ubiquitous format for wire transfer (although other things do exist like protobufs), if I had N data formats that I want to serialize, I only need to write N serializers/deserializers (SerDes). If there was no such narrow waist and there were M alternatives to JSON in wide usage, I would... Source: over 1 year ago
gRPC uses protocol buffers (it is an open source message format) as the default method of communication between client and server. Also, gRPC uses HTTP/ 2 as the default protocol. - Source: dev.to / over 1 year ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery
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.
Messagepack - An efficient binary serialization format.
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.
TOML - TOML - Tom's Obvious, Minimal Language