Vanligvis vil CTRL + + tastene kunne brukes for å øke størrelsen, og CTRL + - for å redusere den.
Har du hjul på musen, kan du bruke CTRL sammen med hjulet for å justere størrelsen. På Mac kan du bruke CMD + + og CMD + -.
Dette kurset har ingen fremtidige kursdato(er) oppført. Bruk skjemaet for å kontakte kursholderen for mer informasjon.
The students will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.
-Explain the evolving world of data
-Survey the services in the Azure Data Platform
-Identify the tasks that are performed by a Data Engineer
-Describe the use cases for the cloud in a Case Study
-Choose a data storage approach in Azure
-Create an Azure Storage Account
-Explain Azure Data Lake storage
-Upload data into Azure Data Lake
-Explain Azure Databricks and Machine Learning Platforms
-Describe the Team Data Science Process
-Provision Azure Databricks and workspaces
-Perform data preparation tasks
-Create an Azure Cosmos DB database built to scale
-Insert and query data in your Azure Cosmos DB database
-Provision a .NET Core app for Cosmos DB in Visual Studio Code
-Distribute your data globally with Azure Cosmos DB
-SQL Database and SQL Data Warehouse
-Provision an Azure SQL database to store data
-Provision and load data into Azure SQL Data Warehouse
-Explain how Azure Data Factory works
-Create Linked Services and datasets
-Create pipelines and activities
-Azure Data Factory pipeline execution and triggers
-Configuring Network Security
-Data Engineering troubleshooting approach
-Azure Monitoring Capabilities
-Troubleshoot common data issues
-Troubleshoot common data processing issues
-Integrating data platforms
-Optimizing data stores
-Optimize streaming data
-Manage disaster recovery
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses: M-AZ-900T01 Microsoft Azure Fundamentals.
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.
The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.Påmeldingsskjema Kontakt oss