Gartner Research

Migrating Enterprise Databases and Data to the Cloud

Published: 07 April 2017

ID: G00317167

Analyst(s): Lyn Robison

Summary

As technical professionals migrate on-premises systems to the public cloud, they need to know which databases to migrate, which tools and techniques to use, and how to run a successful migration project. This document provides guidance on migrating enterprise databases to IaaS and PaaS.

Table Of Contents

Problem Statement

The Gartner Approach

The Guidance Framework

  • Prework
    • Business Strategy for Moving to the Cloud
    • Application Migration Strategy
    • Your Accomplishments in the Prework Stage
  • Step 1: Plan the Database and Data Migration
    • Identify the Success Criteria for Your Database and Data Migration
    • Define the Scope of Work for the Database and Data Migration
    • Choose the Tools and Techniques for Database and Data Migration
  • Step 2: Choose the Method of Bulk Loading On-Premises Data Into the Cloud
    • Transferring Bulk Data Using an Internet Connection
    • Transferring Bulk Data Using a Direct Network Connection
    • Transferring Bulk Data Using Physical Storage Devices
    • Loading Data From Cloud Storage Into Your Cloud Database
    • Your Accomplishments in Step 2
  • Step 3: Choose the Tools for Migrating the Database Structure and Code
    • Homogeneous Migration of Database Structure and Code
    • Heterogeneous Migration of Database Structure and Code
    • Agile/DevOps and Database Source Code Control
    • Your Accomplishments in Step 3
  • Step 4: Choose the Tools for Database Synchronization
    • Your Accomplishments in Step 4
  • Step 5: Create the Test Plans for the Cloud Databases and Applications
  • Step 6: Get the Right Help for Your Cloud Database Migration
    • Your Accomplishments After Step 6
  • Step 7: Perform the Migration
    • Provision the Resources in the Cloud
    • Perform the Bulk Data Extraction From the On-Premises Database
    • Bulk Load the Data From the On-Premises Database to the Cloud Database
    • Begin Synchronization of the Cloud Database With the On-Premises Database
    • Perform the Cutover From the On-Premises Database to the Cloud Database
  • Step 8: Operate and Optimize
  • Follow-Up

Risks and Pitfalls

  • Problems Might Arise in the Bulk Data Transfer
  • Data Synchronization Problems Might Make a Parallel Run Unfeasible
  • The Migration Project Could Easily Become Late and Overbudget
  • The Migration Plan and Objectives Might Be Misaligned
  • The Goals of the Cloud Migration Might Be Technically Unfeasible
  • Public Cloud Providers Might Not Meet Your Requirements
  • The Requisite Skills Are Not Available Internally or From Partners
  • Your Database Might Not Perform Adequately in the Cloud

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