Microsoft - Azure Academy: Data Lake & Data Factory

Curriculum

Module 1: Azure Data Lake Overview

Introduction to Data Lake - You'll learn what Azure Data Lake is as well as key concepts and capabilities. This includes how to make it easy for developers, data scientists and analysts to store data of any size, shape and speed, and do all types of processing and analytics across platforms and languages.

Module 2: U-SQL

In this topic you will learn to write, run and manage on-demand analytics jobs using the U-SQL language.

Module 3: Extending U-SQL with C#

In this topic you will learn how to extend the U-SQL language by programming in C#.

Module 4: Managing, Monitoring and Performance Tuning U-SQL Jobs

In this topic you will learn how to schedule, manage and troubleshoot U-SQL jobs

Module 5: Introduction to Azure Data Factory

Learn how to use Data Factory to compose data storage, movement, and processing services into automated data pipelines.

Module 6: Azure Data Factory Datasets, Activities and Pipelines

Learn to develop end-to-end Data Factory pipelines using Visual Studio.

Module 7: Scheduling and Monitoring Azure Data Factory Jobs

Learn scheduling and execution aspects of the Azure Data Factory application model. Including tumbling windows, concurrency, dependency and troubleshooting failed jobs.

Module 8: Using Azure Data Factory with Azure HDInsight and Azure Machine Learning

Learn how to transform and process raw data into predictions and insights. You'll do this using Hadoop, Azure Machine Learning, Stored Procedures, and Azure Data Lake Analytics technologies.