Microsoft Azure
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Microsoft Azure is a cloud computing service offered by Microsoft, providing a variety of cloud services, including computing power, storage, and networking. Azure allows users to build, deploy, and manage applications and services through Microsoft’s global network of data centers.
Microsoft Azure Certification Training Course
Microsoft Azure certifications are professional credentials that can be earned by individuals who demonstrate their skills and knowledge in using Microsoft Azure, which is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers. Azure offers solutions for all industries through its cloud services, such as computing, analytics, storage, and networking. Users can pick and choose from these services to develop and scale new applications or run existing applications in the public cloud.
Course Content
| 1. Why Cloud Computing ? |
| 2. What is Cloud Computing ? |
| 3. What is Azure and How to Create Free Azure Account ? |
| 4. Overview of Azure SQL Database |
| 5. Lab: Create Azure SQL Database |
| 6. Lab: Pricing Tiers |
| 7. Lab: Azure SQL Virtual Machine |
| 8. Lab: Connect and execute queries on Azure SQL Database |
| 9. Lab: Elastic Pools |
| 10. Lab: Active Geo Replication |
| 11. Lab: Failover Group |
| 12. Lab: Dynamic Data Masking |
| 13. Lab: Auditing |
| 14. Introduction & Creating a Data Factory |
| 15. Lab: Building Blocks of Data Factory |
| 16. Lab: Copy Data Activity – Scenario 1 |
| 17. Lab: Copy Data Activity – Scenario 2 |
| 18. Lab: Get Metadata Activity |
| 19. Lab: Filter Activity |
| 20. Lab: If – Else Activity |
| 21. Lab: Append Activity |
| 22. Lab: Wait Activity |
| 23. Lab: For Each Loop Activity |
| 24. Lab: Lookup Activity |
| 25. Lab: Data Flow – Source |
| 26. Lab: Data Flow – Sink |
| 27. Lab: Data Flow – Conditional Split |
| 28. Lab: Data Flow – Derived Column |
| 29. Lab: Data Flow – Lookup |
| 30. Lab: Data Flow – Select |
| 31. Lab: Data Flow – Filter |
| 32. Lab: Data Flow – Join |
| 33. Lab: Data Flow – Exists |
| 34. Lab: Parameters – Linked Services Parameters |
| 35. Lab: Parameters – Pipeline Parameters |
| 36. Lab: Parameters – Data Flow Parameters |
| 37. Lab: Monitoring – Visually Monitor |
| 38. Lab: Monitoring – Azure Monitoring |
| 39. Introduction to Incremental Data Load |
| 40. Lab: Implementing in Azure Data Factory V2 |
| 41. Artifacts for Tables used in the Lab session |
| 42. Introduction to Slowly Changing Dimension Type I |
| 43. Lab: Implementing Slowly Changing Dimension Type I in ADFv2 |
| 44. Artifacts for Tables used in the Lab session of SCD Type 1 |
| 45. Introduction to Slowly Changing Dimension Type 2 |
| 46. Artifacts for Tables used in the Lab Session of SCD Type II |
| 47. Lab: Implementing Slowly Changing Dimension Type 2 in ADFv2 |
| 57. Introduction to Azure Synapse |
| Analytics |
| 58. Lab: Synapse Workspace & Synapse |
| Studio |
| 59. Understanding Synapse SQL Pool |
| Architecture |
| 60. Lab: Create Synapse SQL Pool in |
| Azure Portal |
| 61. Lab: Setting up & Loading data using |
| Polybase |
| 62. Lab: Load Data using CTAS |
| 63. Lab: Load Data using Copy Into |
| Statement |
| 64. Lab: Load Data using Azure Data |
| Factory |
| 65. Lab: Restore Synapse SQL Pool from |
| Restore Point |
| 66. Lab: Geo Backups |
| 67. Lab: Encryption and Auditing |
| 68. Lab: Monitoring Synapse SQL Pool |
| 87. Introduction |
| 88. Lab: Create Azure Databricks |
| Workspace |
| 89. How to download resources like |
| source code or source files? |
| 90. Lab: Components of Azure Databricks |
| 91. Scenario Overview |
| 92. Overview of Source and Destination |
| 93. Lab: Extract data from source |
| 94. Lab: Transform and Load Data |
| 95. Lab: Jobs |
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Microsoft Azure Certification Course Overview
Microsoft Azure Certification courses are designed to help IT professionals understand cloud services that span storage, networking, and compute cloud capabilities, all within the Microsoft Azure cloud platform. These courses are tailored to equip participants with the necessary skills to implement solutions based on Microsoft Azure features and services.
Microsoft Azure Training Key Features
- Comprehensive Curriculum
- Industry-based projects for experiential learning
- Dedicated live sessions by faculty of industry experts
- Expert Instructors
- Hands-On Labs and Projects
- Industry-recognized course completion certificate
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Skills Covered
- Understanding of Cloud Concepts
- Core Azure Services
- Azure Infrastructure and Networking
- Identity, Governance, Privacy, and Compliance Features
- Azure Database Services
- Data Analytics and AI Services
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Explore Training Program
In Group
- Learners can share insights, ask questions, and engage in discussions, fostering a collaborative learning atmosphere.
- Courses are typically designed with a set curriculum that aims to meet the learning objectives of the group as a whole.
- Training sessions are scheduled at predetermined times, which can help learners maintain a consistent learning routine.
One on One
- The trainer focuses solely on one student, allowing for immediate feedback, personalized guidance, and a learning pace that suits the individual.
- One-on-one training often comes with the flexibility to schedule sessions at times that are most convenient for the learner, accommodating their personal and professional commitments.
Weekend Batch
- Classes are usually held on weekends, making it convenient for those who are busy during the weekdays.
- Since the classes are on weekends, the training sessions might be longer than typical weekday classes, aiming to cover the syllabus efficiently over a shorter period.
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