An Introductory to Managed Microsoft Technology Services by ITC Worldwide

Migration - Data Integration with Azure Databricks

Written by Adams Isaac | Mar 11, 2025 3:06:37 PM

Data migration refers to the process of transferring data from one storage system or platform to another. In today’s digital landscape, migrating data is essential for businesses to improve performance, reduce costs, and adopt new technologies.

Importance of Data Migration

  • Business Agility: Helps organizations stay competitive by enabling them to move 
    data to faster, more scalable platforms.
  • Cost Optimization: By migrating data to cloud platforms like Azure and AWS, 
    businesses can reduce hardware and maintenance costs.
  • Data Access & Security: Ensures that data is more accessible and protected through 
    cloud security features. 

Challenges in Data Migration

  • Data Integrity and Quality: Ensuring the data remains accurate and uncorrupted 
    during migration.
  • Minimizing Downtime: Migration should not affect business operations.
  • Volume and Complexity: Migrating large and complex datasets can be time
    consuming and challenging.
  • Security & Compliance: Ensuring the data migration complies with industry 
    regulations like GDPR or HIPAA. 

 

Introduction to Azure Databricks

Azure Databricks is a unified analytics platform built on Apache Spark. It integrates seamlessly with Azure cloud services to provide a powerful environment for data engineers, scientists, and analysts to build, train, and deploy machine learning models, as well as perform big data processing. 

The data and AI service from Databricks available through Microsoft Azure to store all your data on a simple open lakehouse and unify all your analytics and AI workloads.

Azure Databricks is optimized for Azure and tightly integrated with Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Power BI and other Azure services to store all your data on a simple, open lakehouse and unify all your analytics and AI workloads.

Why Azure Databricks?

  1. 50x performance for Apache Spark™ workloads 
    Deploy auto-scaling compute clusters with highly optimized Spark that perform up to 50x 
    faster.
  2. Millions of server hours each day 
    Azure Databricks is trusted by thousands of customers who run millions of server hours each 
    day across more than 34 Azure regions.
  3. Ease of use 
    Start with a single click in the Azure Portal, natively integrate with Azure security and data 
    services, and boost productivity by up to 25% with collaborative data engineering and data 
    science. 

Industry use cases