Implementing an Azure Data Solution (DP-200)


Course Number: MOC-DP-200

Duration: 3 days (19.5 hours)

Format: Live, hands-on

Azure Data Solution Training Overview

This Microsoft official course, Implementing an Azure Data Solution training (DP-200), teaches attendees how to implement various data platform technologies into solutions that align with business and technical requirements. 

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

Objectives

  • Work with data on-premises, in the cloud, and in hybrid scenarios incorporating both relational and No-SQL data
  • Process data using a range of technologies and languages for both streaming and batch data
  • Implement data security including authentication, authorization, and data policies and standards
  • Define and implement data solution monitoring for both data storage and data processing activities
  • Manage and troubleshoot Azure data solutions that include the optimization and disaster recovery of big data, batch processing, and streaming data solutions

Prerequisites

In addition to their professional experience, students should have taken AZ-900: Azure fundamentals or have equivalent knowledge.

Outline

Expand All | Collapse All

Introduction
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
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
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
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
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
Performing Real-Time Analytics with Stream Analytics
  • Explain data streams and event processing
  • Data Ingestion with Event Hubs
  • Processing Data with Stream Analytics Jobs
Orchestrating Data Movement with Azure Data Factory
  • Explain how Azure Data Factory works
  • Azure Data Factory Components
  • Azure Data Factory and Databricks
Securing Azure Data Platforms
  • An introduction to security
  • Key security components
  • Securing Storage Accounts and Data Lake Storage
  • Securing Data Stores
  • Securing Streaming Data
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
Conclusion

Training Materials:

All Microsoft data solution training students receive Microsoft official courseware.

Software Requirements:

Attendees will not need to install any software on their computer for this class. The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser with a stable Internet connection. Any recent version of Microsoft Edge, Mozilla Firefox, or Google Chrome will be fine.



Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



Recent Training Locations

Alabama

Birmingham

Huntsville

Montgomery

Alaska

Anchorage

Arizona

Phoenix

Tucson

Arkansas

Fayetteville

Little Rock

California

Los Angeles

Oakland

Orange County

Sacramento

San Diego

San Francisco

San Jose

Colorado

Boulder

Colorado Springs

Denver

Connecticut

Hartford

DC

Washington

Florida

Fort Lauderdale

Jacksonville

Miami

Orlando

Tampa

Georgia

Atlanta

Augusta

Savannah

Hawaii

Honolulu

Idaho

Boise

Illinois

Chicago

Indiana

Indianapolis

Iowa

Cedar Rapids

Des Moines

Kansas

Wichita

Kentucky

Lexington

Louisville

Louisiana

New Orleans

Maine

Portland

Maryland

Annapolis

Baltimore

Frederick

Hagerstown

Massachusetts

Boston

Cambridge

Springfield

Michigan

Ann Arbor

Detroit

Grand Rapids

Minnesota

Minneapolis

Saint Paul

Mississippi

Jackson

Missouri

Kansas City

St. Louis

Nebraska

Lincoln

Omaha

Nevada

Las Vegas

Reno

New Jersey

Princeton

New Mexico

Albuquerque

New York

Albany

Buffalo

New York City

White Plains

North Carolina

Charlotte

Durham

Raleigh

Ohio

Akron

Canton

Cincinnati

Cleveland

Columbus

Dayton

Oklahoma

Oklahoma City

Tulsa

Oregon

Portland

Pennsylvania

Philadelphia

Pittsburgh

Rhode Island

Providence

South Carolina

Charleston

Columbia

Greenville

Tennessee

Knoxville

Memphis

Nashville

Texas

Austin

Dallas

El Paso

Houston

San Antonio

Utah

Salt Lake City

Virginia

Alexandria

Arlington

Norfolk

Richmond

Washington

Seattle

Tacoma

West Virginia

Charleston

Wisconsin

Madison

Milwaukee

Alberta

Calgary

Edmonton

British Columbia

Vancouver

Manitoba

Winnipeg

Nova Scotia

Halifax

Ontario

Ottawa

Toronto

Quebec

Montreal

Puerto Rico

San Juan