MS/DP-200 : Implementing an Azure Data Solution

3 gün (18 Saat) Orta Seviye Sınıf / Online NoSQL ve Büyük Veri

Azure üzerinde veri analizine kapsamlı şekilde imkan veren çok çeşitli ürünler bulunmaktadır. Bu ürünler ile doğrudan bulutta veya dilerseniz hibrit yöntemle çalışabilirsiniz. Odaklanılan teknik ve teknolojilerin bir kısmını şirket içi uygulamalarınızda da kullanabilirsiniz. "Implementing an Azure Data Solution" eğitiminde Büyük Veri, NoSQL, İlişkisel Veritabanları, Stream ve Batch verinin analizi, veri taşıma gibi konularına odaklanıyoruz. İlgili teknolojilerin güvenliği ve izlenmesi konularına da değiniyoruz. Dilerseniz bu eğitimden sonra Microsoft'un DP-200 sınavına girebilir, Data Engineer olma yolunda büyük bir adım atabilirsiniz.


Eğitim İçeriği

Module 1: Azure for the Data Engineer

  • Lesson
    • 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
    • Identify the evolving world of data
    • Determine the Azure Data Platform Services
    • Identify tasks to be performed by a Data Engineer
    • Finalize the data engineering deliverables

Module 2: Working with Data Storage

  • Lesson
    • 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
    • Choose a data storage approach in Azure
    • Create a Storage Account
    • Explain Data Lake Storage
    • Upload data into Data Lake Store

Module 3: Enabling Team Based Data Science with Azure Databricks

  • Lesson
    • 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
    • Explain Azure Databricks
    • Work with Azure Databricks
    • Read data with Azure Databricks
    • Perform transformations with Azure Databricks

Module 4: Building Globally Distributed Databases with Cosmos DB

  • Lesson
    • 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 data globally with Azure Cosmos DB
  • Lab : Building Globally Distributed Databases with Cosmos DB
    • Create an Azure Cosmos DB
    • Insert and query data in Azure Cosmos DB
    • Build a .Net Core App for Azure Cosmos DB using VS Code
    • Distribute data globally with Azure Cosmos DB

Module 5: Working with Relational Data Stores in the Cloud

  • Lesson
    • 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
    • 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

Module 6: Performing Real-Time Analytics with Stream Analytics

  • Lesson
    • 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
    • Explain data streams and event processing
    • Data Ingestion with Event Hubs
    • Processing Data with Stream Analytics Jobs

Module 7: Orchestrating Data Movement with Azure Data Factory

  • Lesson
    • Explain how Azure Data Factory works
    • Azure Data Factory Components
    • Azure Data Factory and Databricks
  • Lab : Orchestrating Data Movement with Azure Data Factory
    • Explain how Data Factory Works
    • Azure Data Factory Components
    • Azure Data Factory and Databricks

Module 8: Securing Azure Data Platforms

  • Lesson
    • 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
    • An introduction to security
    • Key security components
    • Securing Storage Accounts and Data Lake Storage
    • Securing Data Stores
    • Securing Streaming Data

Module 9: Monitoring and Troubleshooting Data Storage and Processing

  • Lesson
    • 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
    • Explain the monitoring capabilities that are available
    • Troubleshoot common data storage issues
    • Troubleshoot common data processing issues
    • Manage disaster recovery

Öncesinde Önerilenler

Sonrasında Önerilenler

  • Data Engineer

    Büyük Verinin İşlenmesi, Yönetimi, Veri Kalitesini Arttırma, Bulut Bilişim ve Veri Bilimi için Kodlama, Spark ve Hadoop gibi Dağıtık Mimariler ile Çalışma.

      Bu seride sonrasında önerilen herhangi bir eğitim mevcut değil.