Implementing an Azure Data Solution [DP-200T01]
Lær at implementere forskellige dataløsninger i Azure både on-premise, i skyen eller i en hybrid løsning, der inkorporerer både relationelle og No-SQL-data. Du lærer også at behandle data ved hjælp af en række teknologier og sprog for både streaming og batchdata samt implementering af datasikkerhed herunder godkendelser, tilladelser, datapolitikker og standarder. Endeligt vil du også lære, hvordan du administrerer fejlsøgning og disaster recovery.
Azure Data Engineer
Microsoft har lanceret et kursus, som er målrettet rollen som Azure Data Engineer. En Azure Data Engineer designer og implementerer administration, monitorering, sikkerhed og beskyttelse af personlige oplysninger ved hjælp af de mange Azure Data services som findes til at opfylde virksomhedens behov.
Forudsætninger
Du forventes at have en grundlæggende forståelse for Azure, svarende til kurset Azure Fundamentals, samt grundlæggende forståelse for databaser.
Deltagerprofil
Kurset er for dig, som gerne vil lære at arbejde med Microsoft Azures Data Platform og få viden om, hvordan du implementerer en dataløsning, samt hvilke muligheder og services der findes på platformen.
Indhold
- 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 data streams and event processing
- Querying streaming data using Stream Analytics
- How to process data with Azure Blob and Stream Analytics
- How to process data with Event Hubs and Stream Analytics
- 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
- Configuring Authentication
- Configuring Authorization
- Auditing 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
Certificering
Dette kursus leder hen mod eksamen DP-200 Implementing an Azure Data Solution, som sammen med eksamen DP-201 Designing an Azure Data Solution leder hen mod certificeringen Microsoft Certified Azure Data Engineer Associate. Eksamen bestilles og betales særskilt.
Microsoft skriver:
- Candidates for this exam are Azure data engineers who are responsible for data related tasks that include ingesting, egressing, and transforming data from multiple sources using various services and tools. The Azure data engineer collaborates with business stakeholders to identify and meet data requirements while designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure services to satisfy business needs.
- This exam measures your ability to accomplish the following technical tasks: implement data storage solutions; manage and develop data processing; manage data security; monitor data solutions; and manage and troubleshoot Azure data solutions.
Microsoft Software Assurance Voucher
Kurset kan betales med 3 SA vouchers.
Underviser
Undervisningen varetages af en erfaren underviser fra Teknologisk Instituts netværk bestående af branchens dygtigste undervisere.
Har du faglige spørgsmål, så kontakt:
- Charlotte Heimann
- Seniorspecialist
- +45 72203147