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Azure Data EngineerThis course has free and paid componentsCovers:-Data on the cloud Basics +DP200, DP201Outcome:- Become Interview and work-ready InstantlyFree Level 2 certificate after exam[From Multicloud4u]Internship option Available:- **Internship option available with Multicloud4u and Partner companies.Total Time:- 48 Hours Session:- Live and Instructor-LedBatches:- (Max 10 Students )Weekends (Saturday & Sunday 2.5 hours each)The course covers:-1. Data Engineering & Azure Fundamentals Basics (3 Hour)2. Implement Data Storage Solutions (40-45%) on Azure [DP 200]3.Design Azure Data Storage Solutions (40-45%) [DP 201]4. Tests and Certificates.5. Live Projects and on Job and Interview Guidance **Extras and more on point 5:-FAQ, Practice Sets, Guidance for the Azure Data Engineer Exam, Interview guidance(Max 1 hours), help in on job issues (Max 2 hour), Lifetime recording, 3 Months Whatsapp support, Internship with muticloud4u and partners.Download Course catalogue.Extra contents disclaimers for Internship, Test Machine and On Job support** Completely voluntary, based on the interview and performance in the course
CloseHow to start with Azure
Azure cloud different services
PaaS IaaS CaaS and SaaS
Creating an Account
Azure portal Demo
CloseUnderstanding Azure Portal in depth
Finding Services
Understanding resource groups
Understanding billing
Understanding Subscription
Navigating through the portal
CloseUnderstanding Azure WebAPPS in depth
Deploying your data-driven applications with Azure webapp
Navigating through the azure portal
CloseLesson 01 – Explain the evolving world of data
Lesson02 – Survey the services in the Azure Data Platform
Lesson 03 – Identify the tasks that are performed by a Data Engineer
CloseLesson 01 – Choose a data storage approach in Azure
Lesson 02 – Create an Azure Storage Account
Lesson 03 – Explain Azure Data Lake Storage
Lesson 04 – Upload data into Azure Data Lake
Module 3 - Enabling team based Data Science with Azure Databricks
Lesson 01 – Explain Azure Databricks
Lesson 02 – Work with Azure Databricks
Lesson 03 – Read data with Azure Databricks
Module 4 - Building globally distributed databases with Cosmos DB
Lesson 01 – Create an Azure Cosmos DB database built to scale
Lesson 02 – Insert and query data in your Azure Cosmos DB database
Lesson 03 – Distribute your data globally with Azure Cosmos DB
Module 5 Working with relational data stores in the cloud
Lesson 01 – Explain SQL Database
Lesson 02 In Azure Synapse Session – Explain SQL Data Warehouse
Lesson 03 – Provision and load data in Azure SQL Data Warehouse
Lesson 04 – Import data into Azure SQL Data Warehouse using PolyBase
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Module 5 Working with relational data stores in the cloud
Lesson 01 – Explain SQL Database
Lesson 02 – Explain SQL Data Warehouse
Lesson 03 – Provision and load data in Azure SQL Data Warehouse
Lesson 04 – Import data into Azure SQL Data Warehouse using PolyBase
Module 6 - Performing real-time analytics with Stream Analytics
Lesson 01 – Explain data streams and event processing
Lesson 02 – Data ingestion with Event Hubs
Lesson 03 – Processing data with Stream Analytics jobs
Module 7 - Orchestrating data movement with Azure Data Factory
Lesson 01 – Explain how Azure Data Factory works
Lesson 02 – Create linked services and datasets
Lesson 03 – Create pipelines and activities
Lesson 04 – Azure Data Factory pipeline execution and triggers
Module 8 - Securing Azure Data Platforms
Lesson 01 – Introduction to security
Lesson 02 – Key security components
Lesson 03 – Securing storage accounts and Data Lake Storage
Lesson 04 – Security data stores
Module 9 - Monitoring and troubleshooting Data Storage and processing
Lesson 01 – Explain the monitoring capabilities that are available
Lesson 02 – Troubleshoot common data storage issues
Lesson 03 – Troubleshoot common data processing issues
Lesson 04 – Manage disaster recovery
DP201-Module 01 - Architecture considerations
Lesson 01 – Describe the core principles for creating architectures
Lesson 02 – Design with Security in mind
Lesson 03 – Consider performance and scalability
Lesson 04 – Design for availability and recoverability
Lesson 05 – Design for efficiency and operations
DP201-Module 2 - Azure batch processing reference architectures
Lesson 01 – Describe Lambda architectures from a Batch Mode Perspective
Lesson 02 – Design an Enterprise BI solution in Azure
Lesson 03 – Automate enterprise BI solutions in Azure
Lesson 04 – Architect an Enterprise-grade conversational bot in Azure
DP201 Module 03 - Azure real-time reference architectures
Lesson 01 – Lambda architectures for a real-time mode perspective
Lesson 02 – Architect a stream processing pipeline with Azure Stream Analytics
Lesson 03 – Design a stream processing pipeline with Azure Databricks
Lesson 04 – Create an Azure IoT reference architecture
DP 201 Module 04 - Security design considerations
Lesson 01 – Defense in-depth security approach
Lesson 02 – Identity protection
Lesson 03 – Infrastructure protection
Lesson 04 – Encryption usage
Lesson 05 – Network-level protection
Lesson 06 – Application security
DP 201 Module 05 - Designing for scale and resiliency
Lesson 01 – Adjust workload capacity by scaling
Lesson 02 – Optimize network performance
Lesson 03 – Design for optimized storage and database performance
Lesson 04 – Identifying performance bottlenecks
Lesson 05 – Design a highly available solution
Lesson 06 – Incorporate disaster recovery into architectures
Lesson 07 – Design backup and restore strategies
DP 201 Module 06 - Design for efficiency and operations
Lesson 01 – Maximize the efficiency of your cloud environment
Lesson 02 – Use monitoring and analytics to gain operational insights
Lesson 03 – Use automation to reduce effort and error
Data Engineering:- Design a modern analytics solution with Delta lake, Data Lake Data bricks and DataFactory for Student Reading Habit and Watch records for Muticloud4u Academy
Export google analytics data
Create a Power BI Analytics report
Import GA data in data lakes
Use Azure Service Bus
Use Azure Stream Analytics and Event Hub to trigger mail on certain events.
Design delta lake
Query Data and Create a real time report with Power BI.
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