Mar 14
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 post covers the automation and creation of an; Azure Resource Group, Blob storage, Azure SQL Server and an Azure Analysis Services in a PaaS offering using Azure Automation PowerShell Runbooks.
This article will review a major trap you can find yourself in when using PowerShell in your Runbooks as Azure Automation does not keep your referenced modules up to date.
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.
As companies move data workloads to the cloud, more and more resources are available online to help you get up to speed. The following learning map provides a path to these online resources not only to give you an overview but also to provide an experience of these technologies .
