Learn how to convert and migrate your relational databases, nonrelational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help with homogeneous migrations as well as migrations between different database engines, such as Oracle or SQL Server, to Amazon Aurora. Hear from Verizon about how they intend to migrate critical databases to Amazon Aurora with PostgreSQL compatibility from their current on-premises Oracle databases, and learn how they intend to deal with challenges such as conversion of legacy code and complex data types, supporting business resiliency, and maintaining data synchronization during the transition phase.

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Migrating Databases to the Cloud with
AWS Database Migration Service
A Verizon Case Study
Sandeep Alluri
Senior Member Technical Staff - Sys Engineering
Verizon
D A T 2 0 7
David Yahalom
CTO
Naya - Tech
Jagadishwar Chetigari
Senior Manager - Sys Engineering
Verizon
Eran Schitzer
Product Manager, AWS DMS and SCT
Amazon Web Services

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Agenda
• Introduction to AWS Database Migration Service and
AWS Schema Conversion Tool
• Migration of Databases to AWS – A Verizon story
• DMS and SCT product highlights
• Migration Playbooks
• Q&A

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Related breakouts
Wednesday, November 28
Migrating Your NoSQL Database to Amazon DynamoDB (Session)
5:30pm – 6:30pm | Venetian, Level 2, Titian 2202 - T1
Wednesday, November 28
Migrate your SQL Server Database to AWS RDS
5:30pm – 6:30pm | Mirage, Grand Ballroom B, Table 4
Thursday, November 29
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (Workshop)
11:30am – 2:00pm | Venetian, Level 2, Venetian H
Friday, November 30
Replicate & Manage Data Using Managed Databases & Serverless Technologies (Workshop)
9:15am – 11:15pm | Venetian, Level 2, Venetian I, T2

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What are DMS and SCT?
Our goal: Allow customers the freedom to choose the best data platform
for their needs #DBFreedom
AWS Schema Conversion Tool converts your commercial database
and data warehouse schemas to open-source engines or AWS-
native services, such as Amazon Aurora and Amazon Redshift
AWS Database Migration Service easily and securely
migrates and/or replicate your databases and data
warehouses to AWS

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When to use DMS and SCT?
Modernize Migrate Replicate

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AWS Schema Conversion Tool
• Modernize your data warehouse
Convert your Oracle, SQL Server, Netezza,
Greenplum, Vertica or Teradata to
Amazon Redshift
Modernize
Amazon
Aurora
Amazon
Redshift
• Modernize your database
Convert your Oracle, SQL Server, or Db2 LUW to
PostgreSQL, MySQL, or Amazon Aurora
MySQL
PostgreSQL

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AWS Database Migration Service
Migrate
• Migrate business-critical applications
• Migrate data warehouse to Amazon
Redshift
• Upgrade to a minor version
• Consolidate shards into Aurora
• Archive old data
• Migrate from NoSQL to SQL, SQL to
NoSQL or NoSQL to NoSQL
Amazon RDS
Amazon
Redshift
Amazon
Aurora
Amazon
DynamoDB
Amazon S3

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AWS Database Migration Service
Replicate
• Create cross region Read Replicas
• Run your analytics in the cloud
• Populate your data lake

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AWS DMS – Endpoint Support Expansion
Amazon
Redshift
Amazon
DynamoDB
Amazon S3
Amazon S3
Amazon
Aurora
Amazon
Aurora
Oracle SQL Server Netezza
Greenplum Vertica Teradata
AWS Snowball
Edge
MongoDB Cassandra
Amazon ES Amazon Kinesis

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AWS DMS/SCT Product Highlights
SecureVerify Validate
Homogeneous &
Heterogeneous
Assess Convert Schema
& Code

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Agenda
• Current State - Application Architecture
• DR Proposed Guideline
• Migration Strategy
• Tools Used for Migration
• Lessons Learned / Challenges

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System/Application Types
Mission Critical
• Elite applications supporting “core” business functions
• Directly lead to revenue & customer service
• Availability - Local HA & Active-Active
• Recovery time objective (RTO) < 15 mins
Business Critical
• Applications supporting “internal” business functions
• Availability - DR solutions
• Recovery time objective (RTO) < 4 hours

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Cloud Migration - Key Database Requirements
24 x 7 x 365
High Availability / Load Balancing
• Local HA w/ clustered databases
• Active - Active across regions
• DR solution w/multiple data-centers

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DR Proposed Guideline
BIA Score Business
Expectation
Current AWS EC2 Amazon AURORA
High RTO: <15 minutes
RPO: Within minutes
Geo-diverse Multi-site Multi-Region
w/bi-directional
Multi-Region
w/bi-directional*
Medium RTO: <4 hours
RPO: 0 to <4 hours
Geo-diverse
Active/Passive
Alt Region
Pilot Light
Alt Region
Pilot Light
Low RTO: Up to 24 hours
RPO: <4 hours
Geo-diverse
Active/Passive
Single AZ
Snapshots in Region
Snapshots Alt Region
Single Region
Snapshots Alt Region
No DR RTO: Days
RPO: Hours to days
Backups sent offsite Single AZ
Snapshots in Region
Single Region
RTO/RPO requirements are max tolerable downtimes for the business. DR Architectures should be designed to meet or exceed requirements.
*Pending AWS GA
Recommendation Summary
HIGH Mission Critical apps remain the same, require multi-region active configurations
MED Multi-region, cost mitigated; smaller environments; scale when required
LOW Shift from traditional DR practice, recommend in-Region alternatives
No DR Shift from traditional DR practice, recommend in-Region alternatives

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Migration Strategy
Mission Critical
• Approach: Lift & Shift
• Solution: Initial Phase - Oracle RDS or Oracle on
Amazon Elastic Compute Cloud (Amazon EC2)
• End goal: Aurora PostgreSQL
Business Critical
• Approach: Refactor
• Solution: Aurora PostgreSQL
Lift
&
Shift
Refactoring –
Cost Savings

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Tools for Migration
AWS Database Migration Service easily and securely migrates
and/or replicates your databases and data warehouses to
AWS
AWS Schema Conversion Tool converts your commercial database
and data warehouse schemas to open-source engines or AWS-native
services, such as Amazon Aurora and Amazon Redshift

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Lessons Learned/Challenges
SCT
• 80% conversion rate from Oracle  PostgreSQL for most of the apps
• Not all procedures can be converted automatically, generates report with
recommendations
Issues
• Partition table conversion
• Data type issues (Number to Double precision)
• Default date conversions

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Lessons Learned/Challenges
DMS
• Continuous replication post data copy
• Can use standby on source to reduce impact
• For large tables – create subtasks
• Dry runs needed before production migration
Issues
• Data migration for large databases
• No option to specify parallel table copy more than 8 threads

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Key Takeaways
Migrating to Cloud
• One size does not fit all
• Choose the right tools
• Conduct dry runs
• Measure through performance testing

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Future Enterprise Requirements
• Cross Region Replication
• Hybrid & Multi-Master Replication
• Conversion of Packages
• Conversion of Shell scripts

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• Topic-by-topic overview of how to migrate
databases and data warehouses to AWS services
• Covers all proprietary features and the different
database objects
• Migration best practices
• Oracle to Aurora PostgreSQL
• SQL Server to Aurora MySQL
• SQL Server to Aurora PostgreSQL
Old World to Aurora Migration Playbooks
https://aws.amazon.com/dms/resources/

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AWS SCT Product Highlights
• Assessment of migration
compatibility of source
databases with open-source
database engines – Amazon
RDS for MySQL, Amazon RDS
for PostgreSQL, and Amazon
Aurora
• Recommends best target
engine
• Provides details level of efforts
to complete migration
• Attempts to convert all schema
and code objects to the target
engine, including stored
procedures and functions
• Scans and converts embedded
SQL statements in app code
• Generates a report with
recommendations
• Extracts data through local
migration agents
• Files are loaded to an Amazon
Simple Storage Service
(Amazon S3) bucket and to
Amazon Redshift
• Netezza
• Vertica
• Greenplum
• Teradata
• Oracle
• SQL Server

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AWS DMS Product Highlights
• Checks migration task settings
prior to launch
• Alerts for potential issues, such
as unsupported data types
• Prevent unnecessary, time
consuming runtime migration
failures
• Validates that all data selected
for migration migrated properly
• Includes both stages of full load
and CDC
• Applies for both homogeneous
and heterogeneous migrations
Use AWS Snowball & AWS DMS to
migrate data to AWS
• Migrate large databases (over
5TB)
• Migrate many databases at
once
• Migrate over slow network
• Push vs. Pull

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AWS Database Migration Service
https://aws.amazon.com/blogs/database

29. Thank you!
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Eran Schitzer
erans@amazon.com
Twitter: @eranschitzer

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