Implementing an Azure Data Solutions DP-200

Intermediate 605(5 Ratings)
English
What will you learn?
  • You Will Master Azure Data Factory
  • How To Create Data Flows And Control Flows In Azure Data Factory
  • How To Use Parameters and Variables In Azure Data Factory
  • How To Configure Azure Data Bricks( A Service To Perform Big Data Analysis Using Azure Cloud)
  • How To Move Data To Azure Data Lake From On-premise Using Storage Explore

Live training
Prerequisites
  • Basic experience using Microsoft Azure
  • Familiar with common data engineering concepts, such as relational databases, data pipelines, and stream vs. batch processing.
Description

In this 3 days training you will learn to Implement data storage solutions Manage and develop data processing Monitor data solutions Manage and troubleshoot Azure data solutions. 

Module 1: Azure for the Data Engineer

This module begins with the how world of data is evolving. Then you will gain an overview of the various data platform technologies that are available. Learn about the Data Engineer's role and responsibilities.

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

Now you can

  • Explain the evolving world of data
  • Identify the tasks that are performed by a Data Engineer

Module 2: Working with Data Storage

In this module learn about a data storage approach in Azure, Create an Azure Storage Account, Azure Data Lake storage, along with Uploading 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

Now you can

  • Choose a data storage approach in Azure
  • Create an Azure Storage Account
  • Explain Azure Data Lake Storage


Module 3: Enabling Team Based Data Science with Azure Databricks

This module explores about the Azure Databricks, how to work with Azure Databricks, Read data with Azure Databricks and, 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

Now you can

  • Explain Azure Databricks
  • Work with Azure Databricks

Module 4: Building Globally Distributed Databases with Cosmos DB

In this module, we will cover how to work with NoSQL data using Azure Cosmos DB. Learn how to Insert and query data in your Azure Cosmos DB database. Learn how to build a .NET Core app for Cosmos DB in Visual Studio Code along with learn how to 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 Cod
  • Distribute data globally with Azure Cosmos DB

Now you can

  • Create an Azure Cosmos DB database built to scale
  • Insert and query data in your Azure Cosmos DB database

Module 5: Working with Relational Data Stores in the Cloud

In this module, students will explore the Azure relational data platform options, including SQL Database and SQL Data Warehouse. Learn Creating and Querying an Azure SQL Data Warehouse also learn how to 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

Now you can

  • Use Azure SQL Database
  • Describe Azure Data Warehouse

Module 6: Performing Real-Time Analytics with Stream Analytics

In this module we will cover about data streams and event processing, Data Ingestion with Event Hubs. Learn 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

Now you can

  • Be able to explain data streams and event processing
  • Understand Data Ingestion with Event Hubs

Module 7: Orchestrating Data Movement with Azure Data Factory

In this module you will learn 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

Now you can

  • Understand Azure Data Factory and Databricks
  • Understand Azure Data Factory Components
Module 8: Securing Azure Data Platforms


In this module we will an introduction to security along with Key security components. Then also learn about Securing Storage Accounts and Data Lake Storage, Securing Data Stores and, 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

Now you can

  • Understand securing Storage Accounts and Data Lake Storage
  • Understand securing Data Stores
  • Understand securing Streaming Data

Module 9: Monitoring and Troubleshooting Data Storage and Processing

In this module the students will get an overview of the range of monitoring capabilities that are available to provide operational support should there be issue with a data platform architecture. Then troubleshoot common data storage issues, common data processing issues and, 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

Now you can

  • Troubleshoot common data storage issues
  • Troubleshoot common data processing issues
  • Manage disaster recovery
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