Databricks VS When I Work
Compare Databricks VS When I Work and see what are their differences
Employee Monitoring Software with Screenshots, Internet, Activity and Time Tracking
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Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Informatica
Rakam
Concurrent
When I Work
Deputy
ResourceGuru
Float
Sling
Ganttic
Bizimply
Shiftee
Databricks When I WorkBased on our record, Databricks should be more popular than When I Work. It has been mentiond 17 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
How are the users accessing these calendars if you don't create accounts for them? What you probably want is a work scheduling service like when I work: https://wheniwork.com. Source: over 1 year ago
You could try something like this: https://wheniwork.com. Source: almost 2 years ago
I record all of our takings through a spreadsheet and from this I add our takings into wheniwork.com and get my labour as a percentage of sales. Source: almost 3 years ago
Look at wheniwork.com. We used them a few years ago and they had lots of features. Source: almost 3 years ago
We are going to resume our work in few weeks and looking for efficient time tracking applications to keep track of the people working in the lab at any given time. In one lab I am using WhenIWork app and planning to us clockify in the second lab. Both of them are free and have some pros and cons. I was wondering if anybody has experience using any other software (free) in your lab. We are a team of 5-6 people and... Source: about 3 years ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Deputy - Deputy is a software for employee scheduling, time and attendance and communication management.
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.
ResourceGuru - The fast, simple way to schedule people, equipment, and other resources online.
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.
Float - The leading resource management software for agencies, studios, and firms. With a simple, drag and drop interface and powerful editing tools, Float saves you time and keeps projects on track.