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Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: 10 months ago
Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 1 year ago
Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: about 2 years ago
For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: over 2 years ago
I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: over 2 years ago
Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention. - Source: dev.to / about 1 month ago
Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited... - Source: dev.to / 25 days ago
Make sure you have Go installed https://go.dev/. - Source: dev.to / about 1 month ago
I've been writing a lot about Go and gRPC lately:. - Source: dev.to / about 2 months ago
✨ In recent months, I have been developing web projects using GOTTHA stack: Go + Templ + Tailwind CSS + htmx + Alpine.js. As soon as I'm ready to talk about all the subtleties and pitfalls, I'll post it on my social networks. - Source: dev.to / 3 months ago
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
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.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.
Crystal (programming language) - Programming language with Ruby-like syntax that compiles to efficient native code.