Over the last year or so, I have put together Learning Path or Technical Roadmaps for partners and those who learn at home. These lessons contain links to existing content from Microsoft Documentation, including tutorials, best practices, and quick starts. This content helps to take someone new to the technology from a 100 level to 300 level of knowledge about a topic. These are all online, free, and resources that you can do at your own pace. These resources make up data analytics courses of a source for each topic.
Take a look at the content below, which concentrates on the Azure Data Platform, and check back from time to time as I add to these Learning Paths.
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.
One of the most challenging aspects of developing your own application is adding reporting capabilities. Power BI Embedded gives you the ability to include the capabilities of Power BI while hosting the reports in your application. This post provides a curated resource guide.
The Ingestion and Transforming of data in Microsoft’s Azure Platform can cover a wide variety of topics a Microsoft Azure Data Engineer needs to know. This post covers some must-have documentation, tutorials, and demos to help you through the topic.
This walk-through and resource list will provide an introduction of Power BI’s Object-Level Security (OLS) and when combined with Row-Level security (RLS), you can secure and hide specific metrics, measures, tables, or columns from report viewers when using Roles.
The hardest aspect of Microsoft Ignite was keeping up with all the announcements, especially this year with what seems a focus on the overall state of the enterprise and self-service analytics. This post provides a round-up to the various announcements and sessions in the Data & AI Platform, Power BI, Azure Data Factory, Azure Purview, and associated technologies.
With the announcement of Azure Purview, it is a great time to review some of the key features and provide a learning path made up of free online resources to help you get up to speed. This article will take you through an overview of Azure Purview by setting the stage focusing on Data Governance and providing links to the next steps.
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
Migrating web applications and database workloads to Azure. These links and learning path is from that session allowed attendees to get familiar with migrating web applications and their supporting data workloads to Azure.
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.
Learning Paths Introduction: Guided Technical Enablement
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 as one of them.
Learning Path: Azure Synapse Analytics – An Introduction
This learning Path covers an introduction to Azure Synapse Analytics. This service is not only the next evolution of Azure SQL Data Warehouse. Still, it 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.
Learning Path: Azure Synapse (Formerly Azure SQL Data Warehouse)
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.
This list of resources is 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.