Description
Duration: 3 days
During this three-day boot camp student will learn how to implement various data platform technologies to create solutions that are in line with business and technical requirements. Solutions included are on-premises, cloud, and hybrid data scenarios incorporating both relational and no-SQL Data.
Additional exploration will be done on How to implement data security with authentication, Authorization, Data policies and standards.
How to define and implement data solution monitoring for both the data storage and data processing activities.
It is recommended that students interested in this boot camp have previous knowledge, training, or experience with Azure Fundamentals.
This boot camp is intended for data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.
Upon completion of this course, student will be able to:
- 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
- Choose a data storage approach in Azure
- Create an Azure Storage Account
- Explain Azure Data Like Storage
- Upload data into Azure Data Lake
- Explain Azure Databricks
- Describe the Team Data Science Process
- Provision Azure Databricks and workspaces
- Perform data preparation tasks
- 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 Azure Cosmos DB in Visual Studio Code
- Distribute your data globally with Azure Cosmos DB
What’s included?
- Authorized Courseware
- Intensive Hands on Skills Development with an Experienced Subject Matter Expert
- Hands-on practice on real Servers and extended lab support 1.800.482.3172
- Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
- Academy Code of Honor: Test Pass Guarantee
- Optional: Package for Hotel Accommodations, Lunch and Transportation
With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.
Methods
- Instructor Led (the best training format we offer)
- Live Online Classroom – Online Instructor Led
- Self-Paced Video
Speak to an Admissions Representative for complete details
| Start | Finish | Public Price | Public Enroll | Private Price | Private Enroll |
|---|---|---|---|---|---|
| 12/25/2023 | 12/27/2023 | ||||
| 1/15/2024 | 1/17/2024 | ||||
| 2/5/2024 | 2/7/2024 | ||||
| 2/26/2024 | 2/28/2024 | ||||
| 3/18/2024 | 3/20/2024 | ||||
| 4/8/2024 | 4/10/2024 | ||||
| 4/29/2024 | 5/1/2024 | ||||
| 5/20/2024 | 5/22/2024 | ||||
| 6/10/2024 | 6/12/2024 | ||||
| 7/1/2024 | 7/3/2024 | ||||
| 7/22/2024 | 7/24/2024 | ||||
| 8/12/2024 | 8/14/2024 | ||||
| 9/2/2024 | 9/4/2024 | ||||
| 9/23/2024 | 9/25/2024 | ||||
| 10/14/2024 | 10/16/2024 | ||||
| 11/4/2024 | 11/6/2024 | ||||
| 11/25/2024 | 11/27/2024 | ||||
| 12/16/2024 | 12/18/2024 | ||||
| 1/6/2025 | 1/8/2025 |
Curriculum
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
Labs Azure for the Data Engineer:
- Azure for the Data Engineer
- Identify the evolving world of data
- Determine the Azure Data Platform Services
- 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
Lessons
- 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 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
Lessons
- Explain Azure Databricks and Machine Learning Platforms
- Describe the Team Data Science Process
- Provision Azure Databricks and workspaces
- Perform data preparation tasks
Lab: Enabling Team Based Data Science with Azure Databricks
- Explain Azure Databricks and Machine Learning Platforms
- Describe the Team Data Science Process
- Provision Azure Databricks and Workspaces
- Perform Data Preparation Tasks
Module 4: Building Globally Distributed databases with Cosmos DB
Lessons
- Create an Azure Cosmos DB database built to scale
- Insert and query data in your Azure Cosmos DB database
- Provision a .NET Core app for Cosmos DB in Visual Studio
- Distribute your 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
- SQL Database and SQL Data Warehouse
- Provision and Azure SQL database to store data
- Provision and load data into Azure SQL Data Warehouse
Lab: Working with relational Data Stores in the Cloud
- Explain SQL Database and SQL Data Warehouse
- Create and Azure SQL Database to store data
- Provision and load data into Azure SQL Data Warehouse
Module 6: Performing Real-Time Analytics with Stream Analytics
Lessons
- Explain data streams and event processing
- Querying streaming data using Stream Analytics
- How to process data with Azure Blob and Stream Analytics
- How to process data with Event Hubs and Stream Analytics
Lab: Performing Real-/time Analytics with Stream Analytics
- Explain data streams and event processing
- Querying streaming data using Stream Analytics
- Process data with Azure Blob and Stream Analytics
- Process data with Event Hubs and Stream Analytics
Module 7: Orchestrating Data Movement with Azure Data Factory
Lessons
- Explain how Azure Data Factory works
- Create Linked Services and datasets
- Create pipelines and activities
- Azure Data Factory pipeline execution and triggers
Lab: Orchestrating Data Movement with Azure Data factory
- Explain how Data Factory works
- Create Linked services and Datasets
- Create Pipelines and Activities
- Azure Data Factory Pipeline Execution and Triggers
Module 8: Securing Azure Data Platforms
Lessons
- Configuring Network Security
- Configuring Authentication
- Configuring Authorization
- Auditing Security
Lab: Securing Azure Data Platforms
- Configure network security
- Configure Authentication
- Control Network Access
- Understand transport-level encryption with HTTPS
- Understand Advanced Threat Detection
Module 9: Monitoring and Troubleshooting Data Storage and processing
- Data Engineering troubleshooting approach
- Azure Monitoring Capabilities
- Troubleshoot common data issues
- Troubleshoot common data processing issues
Lab: Monitoring and Troubleshooting Data Storage and Processing
- Explain the Data Engineering troubleshooting approach
- Explain the monitoring Capabilities that are available
- Troubleshoot common data storage issues
- Troubleshoot common data processing issues
Module 10: Integrating and Optimizing Data Platforms
- Integrating data platforms
- Optimizing data stores
- Optimize streaming data
- Manage disaster recovery
Labs: Integrating and Optimizing Data Platforms
- Integrate Data Platforms
- Optimize Data Stores
- Optimize Streaming data stores
- Mange Disaster Recovery
