Based on our record, Go Programming Language seems to be a lot more popular than Microsoft Power BI. While we know about 292 links to Go Programming Language, we've tracked only 17 mentions of Microsoft Power BI. 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.
Microsoft Fabric is currently in preview and provides data integration, engineering, data warehousing, data science, real-time analytics, applied observability, and business intelligence under a single architecture by integrating services such as Azure Data Factory, Azure Synapse Analytics, Data Activator, and Power BI. In addition, it comes with a SaaS, multi-cloud data lake called "OneLake" that is built-in and... Source: 12 months ago
I'd suggest spending some time learning the material before you invest thousands in tuition only to find that you don't like it or aren't good at it. Download Tableau Public or Power BI and force yourself to use them for a few months. That's how I taught myself R. Source: about 1 year ago
Discover why business analytics is crucial for your business and how to utilise data analytics and PowerBI to make informed and data-backed decisions! Source: about 1 year ago
Power BI is popular... But for table reports with Excel/PDF export you can use Pebble Reports. Source: about 1 year ago
Yes, MySQL can do the job. You can use Airforms to do data entry. No need to learn MySQL syntax. You will also need a reporting tool, such as Power BI. Source: about 1 year 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 / 22 days 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 / 14 days ago
Make sure you have Go installed https://go.dev/. - Source: dev.to / 24 days ago
I've been writing a lot about Go and gRPC lately:. - Source: dev.to / about 1 month 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 / 2 months ago
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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.