DP-200: Implementing an Azure Data Solution
Duración: 15 horas lectivas
Detalles
Requisitos previos DP-200
- Azure Fundamentals.
Objetivos
In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.
Ubicación
Presencial en Madrid y Barcelona.
Disponibles también en Online Direct
TEMARIO DP-200
Module 1: Azure for the Data Engineer
- 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
Lab : Azure for the Data Engineer
Module 2: Working with Data Storage
- Choose a data storage approach in Azure
- Create an Azure Storage Account
- Explain Azure Data Lake storage
- Upload data into Azure Data Lake
Lab : Working with Data Storage
Module 3: Enabling Team Based Data Science with Azure Databricks
- Explain Azure Databricks
- Work with Azure Databricks
- Read data with Azure Databricks
- Perform transformations with Azure Databricks
Lab : Enabling Team Based Data Science with Azure Databricks
Module 4: Building Globally Distributed Databases with Cosmos DB
- Create an Azure Cosmos DB database built to scale
- Insert and query data in your Azure Cosmos DB database
- Build a .NET Core app for Cosmos DB in Visual Studio Code
- Distribute your data globally with Azure Cosmos DB
Lab : Building Globally Distributed Databases with Cosmos DB
Module 5: Working with Relational Data Stores in the Cloud
- Use Azure SQL Database
- Describe Azure SQL Data Warehouse
- Creating and Querying an Azure SQL Data Warehouse
- Use PolyBase to Load Data into Azure SQL Data Warehouse
Lab : Working with Relational Data Stores in the Cloud
Module 6: Performing Real-Time Analytics with Stream Analytics
- Explain data streams and event processing
- Data Ingestion with Event Hubs
- Processing Data with Stream Analytics Jobs
Lab : Performing Real-Time Analytics with Stream Analytics
Module 7: Orchestrating Data Movement with Azure Data Factory
- Explain how Azure Data Factory works
- Azure Data Factory Components
- Azure Data Factory and Databricks
Lab : Orchestrating Data Movement with Azure Data Factory
Module 8: Securing Azure Data Platforms
- An introduction to security
- Key security components
- Securing Storage Accounts and Data Lake Storage
- Securing Data Stores
- Securing Streaming Data
Lab : Securing Azure Data Platforms
Module 9: Monitoring and Troubleshooting Data Storage and Processing
- Explain the monitoring capabilities that are available
- Troubleshoot common data storage issues
- Troubleshoot common data processing issues
- Manage disaster recovery
Lab : Monitoring and Troubleshooting Data Storage and Processing
Gadesoft Madrid
C/Clara del rey, 14
28002 Madrid, Spain
Tfno: 91 510 23 90
info@gadesoft.com
Gadesoft Barcelona
Carrers del Madrazo, 27 - 2º 4ª
08006 Barcelona
Tfno: 93 368 0087
Certificaciones
Azure Role Based Certifications
Microsoft 365
Dynamics 365
MCSA y MCSE
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