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.
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.
This first article in the Introduction to Data Analysis series will walk you through setting up Microsoft’s free Office Online and introduce you to using Excel Online with OneDrive.
There is an odd error when trying to install SQL Server Data Tools (SSDT), either as a stand-alone, or adding to an instance of Visual Studio. I had the same setup failure, no matter what configuration I was using.
This article reviews the process of using Azure Data Factory V2 sliding windows triggers to archive fact data from SQL Azure DB. This process will automatically export records to Azure Data Lake into CSV files over a recurring period, providing a historical archive which will be available to various routines such as Azure Machine Learning, U-SQL Data Lake Analytics or other big data style workloads.
Minimize the impact on SQL Automation workflows when migrating to SQL Azure by automating stored procedures using Runbooks and E-mail. This step by step tutorial and walkthrough will review a solution to provide scheduling via Azure Runbooks with integrated O365 email alerts.
