DP-200: Implementing an Azure Data Solution

Tule tälle kolmen päivän mittaiselle kurssille kokemaan, miten tiedot tallennetaan ja käsitellään Azuressa. Mukana menossa mm. Data Factory, Data Lake, Databricks, Stream Analytics ja CosmosDB!

Opit tällä kurssilla Azure Data Platformin käytön laajasti. Mitä palveluita on, kuinka ne otetaan käyttöön, miten tiedot siirretään, varastoidaan, analysoidaan, suojataan ja valvotaan. Kurssiin kuuluu kaikki perusteknologiat, kuten Data Lake, SQL DB & DW, CosmosDB,  Databricks, Stream Analytics ja Data Factory.

Kurssin sisältö

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

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

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

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

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

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

MODULE 7: ORCHESTRATING DATA MOVEMENT WITH AZURE DATA FACTORY

• Explain how Azure Data Factory works
• Azure Data Factory Components
• Azure Data Factory and Databricks

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

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