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Their interview questions are pretty basic and the whole product is pretty much useless. Waste of time and money.
Based on our record, data.world seems to be more popular. It has been mentiond 24 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'll be sure to check out data.world propose to use it if it makes sense, thanks. Source: about 1 year ago
Just google qgis datasets. There are so so many interesting sets you will find. Check out qgis.org, or data.world for starters. Source: over 1 year ago
But, I'm also aware that there are dedicated platforms to catalog and share data (e.g. https://www.dolthub.com/, https://data.world/), and that uploading data on Github, in general, doesn't seem best practise. Source: over 1 year ago
The client is considering the 3 I mentioned, plus data.world. I need to research that one next. Microsoft Purview has already been considered. Source: over 1 year ago
Im looking for Christmas cost dataset by year and country, Im looking in the data.world and other web pages and I cant found anything. Source: over 1 year ago
LeetCode - Practice and level up your development skills and prepare for technical interviews.
Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.
Daily Coding Problem - Get exceptionally good at coding interviews
Trustgrid Data Mesh Platform - A number of software providers have moved to Data Mesh connectivity solutions as they seek to lower the operating costs of their applications.