DP-200: Implementing an Azure Data Solution

  

 

Duración: 15 horas lectivas

Programa Cursos Subvencionados Azure

Este curso forma parte del programa de cursos subvencionados para clientes seleccionados.

Coste del curso: 535€/asistente
La formación incluye voucher de examen.

Convocatorias Abiertas

Del 14 al 16 de octubre. 09:00 – 14:00. Madrid.

Ver convocatorias de todos los cursos y links de registro

En caso de necesitar más información, o está interesado en apuntarse a algún curso del que actualmente no hay convocatorias, póngase en contacto con nosotros:

Víctor Blázquez
vblazquez@gadesoft.com
91 580 23 90

Requisitos previos
Before attending this course, students must have:
  • 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. 
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.

Ubicación

Presencial en Madrid y Barcelona.
Disponibles también en Online Direct

Temario

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

Dónde Estamos

Gadesoft Madrid
C/ Clara del Rey, 14
28002 Madrid, Spain
Tfn: (+34) 91 510 23 90

Gadesoft Barcelona
Carrers del Madrazo, 27 - 2º 4ª
Barcelona, 08006
Tfn: (+34) 93 368 00 87

Email: info@www.gadesoft.es