Technology: SQL Server
Software Assurance Value:
This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R.
After completing this course, students will be able to:
The primary audience for this course is data engineers (IT professionals, developers, and information workers) who plan to implement big data engineering workflows on Azure.
This module describes common architectures for processing big data using Azure tools and services.
Lab: Designing a Big Data Architecture
After completing this module, students will be able to:
This module describes how to use Azure Stream Analytics to design and implement stream processing over large-scale data.
Lab: Processing Event Streams with Azure Stream Analytics
This module describes how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job.
Lab: Performing Custom Processing with Azure Stream Analytics
Module 4: Managing Big Data in Azure Data Lake Store
This module describes how to use Azure Data Lake Store as a large-scale repository of data files.
Lab: Managing Big Data in Azure Data Lake Store
This module describes how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store.
Lab: Processing Big Data using Azure Data Lake Analytics
This module describes how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs.
Lab: Implementing custom operations and monitoring performance in Azure Data Lake Analytics
This module describes how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest.
Lab: Implementing Azure SQL Data Warehouse
This module describes how to import data in Azure SQL Data Warehouse, and how to protect this data.
Lab: Performing Analytics with Azure SQL Data Warehouse
This module describes how to use Azure Data Factory to import, transform, and transfer data between repositories and services.
Lab: Automating the Data Flow with Azure Data Factory
In addition to their professional experience, students who attend this training should already have the following technical knowledge: