jq
fx
jello
fzf
HTTPie
Emuto
Solid Explorer
X-plore
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Informatica
Rakam
Concurrent
jq DatabricksBased on our record, jq should be more popular than Databricks. It has been mentiond 155 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.
I'd you're trying to bring this to a wider audience not already familiar with q, then the name collision with the more widely known jq project is a problem: https://stedolan.github.io/jq/. - Source: Hacker News / 5 months ago
First, we need to install jq via the installer available at https://stedolan.github.io/jq/. - Source: dev.to / 7 months ago
JQ is a lightweight and powerful command-line JSON processor. It's a time-saving tool for manipulating and extracting data from JSON files effortlessly. - Source: dev.to / 8 months ago
If you have jq installed you can use it to make the output look nicer. - Source: dev.to / about 1 year ago
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks. - Source: dev.to / about 1 year 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 / 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
fx - Command-line JSON processing tool
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
jello - jello is a command line tool that filters JSON data using pure python syntax.
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.
fzf - A command-line fuzzy finder written in Go
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.
