This learning Path covers Azure Synapse Analytics This service is not only the next evolution of Azure SQL Data Warehouse, but combines enterprise data warehousing and Big Data Analytics into collaborative projects to ingest, prepare, manage and serve data together in a single pane of glass experience.
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.
PowerBI has built-in date hierarchy features that seem to cause confusion in not only new users but experienced users. This article shows you how to avoid errors.
This list of resources was part of a workshop I participated in on migrating web applications and database workloads to Azure. The session allowed attendees to get familiar with migrating web applications and their supporting data workloads to Azure.
The Azure Synapse Workspace documentation & Samples were released. This article reviews some of the new content. Azure Synapse Analytics brings together enterprise data warehousing and big data analytics into a unified and integrated service made up of various Azure Data Services.
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.
Will drop a quote I find each week into a quick post. One that I find inspired me and pushed me to take a positive action.
In this Learning Path for the Azure Synapse (Formerly Azure SQL Data Warehouse), you are provided with various online resources in a structured learning format. Each level contains the objectives delivered through articles, labs and tutorials.
Our ability to keep up with the volume of new cloud-based products and services is becoming more difficult. To survive in this environment, we need to adopt various learning techniques and Guided Technical Enablement is an example of Agile Learning and uses Learning Plan is one of them.
Keeping up to speed with the pace of change in cloud-based computing is one of the most challenging tasks for technical resources. This article covers the Azure Updates site which lists resources to keep you informed about not only Azure SQL but also other Microsoft cloud services.
As of June 21, 2019 the exams, Exam DP-200: Implementing an Azure Data Solution and Exam DP-201: Designing an Azure Data Solution have changed. The exams look to be more focused in order to differentiate between a data engineer role from a database administrator role.
My development activities require me to have various desktops open which can become confusing, especially if you keep to the default desktop image. The following two resources have worked best for me in changing up my desktop display.
