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.
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.
Needing to Generate test data can be very stressful. I like to produce sample data that contains realistic values, such as professional names so that the people involved in the training have a frame of reference and do not get tripped up on the data. Realistic datasets can be created by following these steps and utilizing the resources listed below.
I added R to my toolkit and have had great success using it on many projects, for not only discovery but also for visualizations. R provides many packages and functions that let you perform data discovery over a data set.
