Data Analytics involves the process of inspecting, cleansing, transforming, and modeling data to discover meaningful information, draw conclusions, and support decision-making. Our Data Analytics category provides a comprehensive exploration of this field, covering topics from fundamental analytics techniques to advanced data manipulation and interpretation strategies.
Whether you’re a data enthusiast starting your analytics journey, a seasoned data scientist, or a business professional leveraging data for strategic insights, this category offers valuable resources to enhance your knowledge and skills.
set of curated resources that will get you started. The resources are split into a number of sections that roughly follow the order of your design decisions. With the wide variety of possible architectures, this post concentrates on a data reporting and analytics style of solution.
The Power BI Pulse Chart is a visualization tool that can help you take your data storytelling to the next level. Using time to tell a story can be one of the most valuable tools in your visualization toolbox to tell your data story.
I attempted a Github checkout of a project on Windows I had worked on the evening before on my Mac and faced “Fatal: unable to check out working tree”. Wild problem but easy solution.
One of the biggest questions you will be asked as you investigate moving workloads to the cloud is, How Much is this going to cost? This article will review a process, resources and questions you need to answer to provide realistic cost estimates to get more out of the Azure Pricing Calculator
As you start using Mac OS X for your Microsoft Azure Data development, VSCode may be just one of the many development packages that you want to set up but is one of the most important. With the setup, having the ability to use Github as a code repository will definitely make life easier as many Azure repositories and services utilize Github.
For those DBAs are using SQL for data discovery, the move to data science can involve a brand-new set of varied tools and technologies. This article is a walkthrough of setting up the tooling to do some data discovery using Python. By setting up your workflow using, GitHub, VSCode and Python you will have the basic architecture set up for Data Exploration.
