Migrate Open Source Data Workloads to Azure

Migrate Open Source Data Workloads to Azure

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Duration

1 Days

Certified Instructor

Course Id

nextecMS373

Course Description

Course Overview

The Migrate Open Source Data Workloads to Azure course is a specialized program designed to provide IT professionals with the knowledge and skills to migrate open-source data workloads, such as databases, analytics solutions, and big data platforms, to Microsoft Azure. This course focuses on teaching participants various migration strategies, tools, and best practices to ensure a smooth and successful migration process. Participants will learn how to assess their open-source data workloads, plan for migration, execute the migration, and validate the results, enabling them to leverage Azure’s cloud services for their open-source data solutions.

Prerequisites

This course is intended for IT professionals with a solid understanding of open-source data solutions, such as databases (MySQL, PostgreSQL, etc.), analytics platforms (Apache Hadoop, Apache Spark, etc.), and big data technologies. Participants should also have basic knowledge of Microsoft Azure services.

Methodology

The Migrate Open Source Data Workloads to Azure course follows an interactive and hands-on approach. The course includes theoretical lectures, practical demonstrations, group discussions, and hands-on labs. Instructors will provide real-world scenarios to help participants apply migration concepts in practice.

  • Course Outline
  • Introduction to Azure for Open Source Data Workloads
  • Understanding the benefits of migrating open-source data to Azure
  • Exploring Azure services for open-source data solutions
  • Identifying common challenges and best practices for migration
  • Assessing Open Source Data Workloads for Migration
  • Analyzing existing open-source data solutions for migration readiness
  • Identifying migration blockers and compatibility issues
  • Utilizing Azure Migrate for assessment and discovery
  • Planning the Migration Process
  • Developing a migration strategy and timeline for open-source data workloads
  • Choosing the appropriate Azure services and deployment models
  • Creating a migration plan and risk mitigation strategies
  • Executing the Migration
  • Setting up the Azure environment and resources for data migration
  • Performing the actual migration of open-source data workloads to Azure
  • Validating data integrity and application functionality post-migration
  • Optimizing Azure Performance for Open Source Data Solutions
  • Implementing best practices for Azure performance and scalability
  • Configuring Azure services for optimal performance of open-source data workloads
  • Monitoring and troubleshooting Azure performance issues
  • Security and Compliance for Open Source Data in Azure
  • Implementing security measures for open-source data solutions in Azure
  • Complying with data protection regulations and industry standards
  • Auditing and monitoring security events for open-source data workloads

Outcome

By the end of the Migrate Open Source Data Workloads to Azure course, participants will be able to:

  • Assess open-source data workloads for migration readiness and compatibility.
  • Plan and execute a successful migration of open-source data solutions to Azure.
  • Optimize Azure performance for open-source data workloads for improved efficiency.
  • Implement security measures and compliance standards for open-source data in Azure.
  • Monitor and troubleshoot Azure performance and security for open-source data solutions.

Labs

  1. Assessing Open Source Data Workloads: Participants will use Azure Migrate to assess their existing open-source data solutions for migration readiness.
  2. Planning the Migration: Participants will develop a migration strategy and plan based on their assessment results.
  3. Executing the Migration: Participants will perform the actual migration of open-source data workloads to Azure.
  4. Validating Post-Migration: Participants will validate data integrity and application functionality after migration.
  5. Optimizing Azure Performance: Participants will configure Azure services for optimal performance of open-source data solutions.

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