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Data Migration

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About the Course

This course offers a comprehensive guide to planning, executing, and managing data migration projects. Participants will learn about migration strategies, data mapping, security considerations, and best practices for transferring data across systems with minimal disruption and maximum accuracy.

Curriculum

  • Module 1: Introduction to Data Migration

    Overview:

    This module provides an introduction to data migration, explaining its purpose, types, and key challenges.

    Topics to Cover:

    • What is data migration and why it’s critical for organizations
    • Types of data migration (e.g., storage, database, application, cloud migration)
    • Key challenges and considerations in data migration projects

  • Module 2: Planning and Strategy for Data Migration

    Overview:

    Participants will learn the essential steps for planning a successful data migration project, including setting goals, defining scope, and selecting a migration strategy.

    Topics to Cover:

    • Migration strategies: lift-and-shift, re-platforming, and re-architecting
    • Defining scope, goals, and success criteria
    • Project timelines, resource planning, and risk assessment

  • Module 3: Data Assessment and Mapping

    Overview:

    This module covers data assessment and mapping techniques to ensure compatibility between source and target systems and maintain data integrity.

    Topics to Cover:

    • Assessing data quality and preparing data for migration
    • Data mapping and transformation
    • Handling data discrepancies and ensuring compatibility

  • Module 4: Tools and Technologies for Data Migration

    Overview:

    This module introduces participants to data migration tools and platforms, focusing on selecting the right tools for specific migration scenarios.

    Topics to Cover:

    • Overview of popular data migration tools (e.g., AWS Database Migration Service, Talend, Informatica)
    • Using ETL tools for data extraction, transformation, and loading
    • Automation and scripting for streamlined migrations

  • Module 5: Security and Compliance in Data Migration

    Overview:

    Participants will explore data security and compliance considerations during migration to protect sensitive information and adhere to regulatory requirements.

    Topics to Cover:

    • Ensuring data security during transfer (encryption, access control)
    • Compliance with regulations (e.g., GDPR, HIPAA)
    • Data masking and anonymization techniques

  • Module 6: Testing and Validation of Migrated Data

    Overview:

    This module emphasizes the importance of testing and validating migrated data to ensure accuracy, integrity, and reliability post-migration.

    Topics to Cover:

    • Testing strategies (e.g., unit testing, system testing, data reconciliation)
    • Validating data quality and accuracy
    • Performance testing and troubleshooting

  • Module 7: Post-Migration Optimization and Monitoring

    Overview:

    After migration, participants will learn how to optimize data in the new environment, monitor performance, and establish maintenance practices.

    Topics to Cover:

    • Optimizing data storage and indexing
    • Monitoring data quality and performance
    • Creating a post-migration support plan

  • Module 8: Real-World Applications and Project

    Overview:

    In this capstone module, participants will apply their knowledge to a practical data migration project, selecting an appropriate strategy and implementing a migration plan.

    Topics to Cover:

    • Project planning: defining migration goals and strategy
    • Executing data migration and troubleshooting issues
    • Final project presentation and review of outcomes

Learning Outcomes

By the end of this course, participants will be able to:

  • Develop a comprehensive data migration strategy and plan.
  • Assess and map data for compatibility between systems.
  • Utilize appropriate tools to facilitate data migration.
  • Ensure security and compliance throughout the migration process.
  • Validate and optimize data in the new environment for effective usage.

Tools

Data migration platforms: AWS Database Migration Service, Google Cloud Data Transfer, Talend, Informatica PowerCenter
ETL and data integration tools: Apache NiFi, Fivetran, Microsoft Azure Data Factory
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I had an incredible experience at this data science bootcamp! Coming in with no prior knowledge, I was amazed at how quickly I gained a solid understanding of the field. The curriculum is intensive and hands-on, allowing me to learn real, applicable skills through working on real client projects. The staff are exceptionally supportive and always ready to help. This bootcamp truly transformed my career path, and I couldn’t be more grateful for the knowledge and confidence I’ve gained. Highly recommended for anyone looking to break into data science!

My experience was awesome. I was taught by professional data engineers who shared their insights based on their professional experience. The topics covered are relevant to what employers are looking for and I enjoyed hands-on projects. I learned all the skills I needed to be a data engineer and I got a full-time offer as a data engineer, thanks to the mentors from WecloudData. I highly recommend this program. I was able to land interviews at Amazon, Yelp, CI Financial e.t.c

Deciding to go with WeCloudData was one of the best decisions I made during my career switch. Their Bootcamps are intense but they get you where you need to go. The instructors are amazing and the TAs very knowledgeable. Their client projects taught me a lot even after the bootcamp was done. I was able to land my current job thanks to the skills and training from the course.

I had the pleasure of attending WeCloudData’s Data Fundamentals bootcamp, which was fantastic. The highly qualified instructors used cutting-edge teaching techniques that greatly facilitated understanding the logic of coding and programming. They carefully progressed us from fundamental to more complex subjects, avoiding any feeling of overload. I wholeheartedly endorse this course for anyone hoping to become a data analyst—it’stheonly one you’ll need. The teachers are very outstanding!

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FAQ

Frequently asked questions about the bootcamp

The course is structured into weekly modules, each containing video lectures, reading materials, assignments, and quizzes. You can complete the modules at your own pace, but we recommend following the weekly schedule to stay on track.

You can get support in multiple ways:

  • TA Support on Slack: Our teaching assistants are available on Slack to answer your questions and provide guidance.
  • Peer Community on Discord: Join our Discord community to discuss course topics, share ideas, and collaborate with fellow students.

TAs are available on Slack from 9 AM to 6 PM (ET) Monday to Friday. Outside these hours, you can still post your questions, and TAs will respond as soon as they are back online.

After enrolling in the course, you will receive an invitation link to join the Discord community. Follow the link to create an account or log in to your existing account.

The Discord community offers peer-to-peer support, where you can discuss course topics, share resources, collaborate on projects, and network with fellow learners

The optional mentoring service includes one-on-one sessions with an experienced mentor who can provide personalized guidance, feedback on your progress, and help you set and achieve your learning goals.

Please talk to our Program Advisors to sign up for Mentorship services for an additional cost

Yes, you will have lifetime access to the course materials, including any updates made to the content in the future.

We accept all major credit cards, PayPal, and bank transfers. You can choose your preferred payment method at checkout

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