Database Freedom is an AWS initiative that accelerates enterprise migrations from commercial database engines to AWS native database services or managed open-source systems. We review the basics of the Amazon purpose-built database strategy and cover our Workload Qualification Framework, which helps you determine a good database migration candidate and predict the level of effort. In the hands-on lab, you use AWS Schema Conversion Tool and AWS Database Migration Service to migrate your databases to Amazon Aurora PostgreSQL. Bring a laptop with Firefox or Chrome and a working AWS account. We provide an AWS CloudFormation template to configure the lab environment.

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Database Freedom
Abhinav Singh
DMS Engineer
AWS
A D B 3 0 4
Knievel Co
DMS Engineer
AWS
Sandeep Brahmarouthu
Business Development
AWS

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Agenda
Database Freedom program overview
Migration tools:
• AWS Database Migration Service (AWS DMS)
• AWS Schema Conversion Tool (AWS SCT)
Lab:
• Oracle to Amazon Aurora PostgreSQL

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https://www.theregister.co.uk/2017/01/30/oracle_effectively_doubles_licence_fees_to_run_in_aws/
https://www.infoworld.com/article/3164517/cloud-computing/oracle-is-pricing-itself-out-of-amazons-cloud.html

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What we hear from customers about legacy databases
AUDIT
Very expensive Proprietary Lock-in Punitive licensing You’ve got mail

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Database Freedom is an AWS database migration initiative focused on
accelerating enterprise migrations from commercial database engines
(Oracle and SQL Server) to AWS native database services

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Customers are migrating their workloads to AWS
Verizon is migrating over 1,000 business-critical applications and database backend systems to AWS, several of
which also include the migration of production databases to Amazon Aurora.
By migrating from Microsoft SQL Server to Amazon Aurora, Ryanair can run one of the largest email campaigns
in Europe with higher performance at a fraction of the cost, sending out 22 million emails daily to customers.
Trimble migrated their Oracle databases to Amazon RDS and project they will pay about 1/4th of what they
paid when managing their private infrastructure.
Intuit migrated from Microsoft SQL Server to Amazon Redshift to reduce data-processing timelines and get
insights to decision makers faster and more frequently.
Equinox Fitness migrated its Teradata on-premises data warehouse to Amazon Redshift. They went from static
reports to a modern data lake that delivers dynamic reports.
Migrated their Market Data system from SQL Server to Aurora MySQL using AWS Database Migration Service(DMS)
to replicate data nightly. Reduces their processing times from 8 hours to 3 hours.
By December 2018, Amazon.com will have migrated 88% of their Oracle DBs (and 97% of critical system
DBs) moved to Amazon Aurora and Amazon DynamoDB. They also migrated their 50 PB Oracle Data
Warehouse to AWS (Amazon S3, Amazon Redshift, and Amazon EMR).
Samsung Electronics migrated their Cassandra clusters to Amazon DynamoDB for their Samsung Cloud
workload with 70% cost savings.

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Programs
Discover Database Freedom with AWS
Innovation
• Tools: Database Migration Service (DMS) and Schema Conversion Tool (SCT)
• AWS native managed database services
• Optimized and new EC2 and RDS instance types
• ProServe, Partners, Service Teams
• Workload Qualification Framework
• Patterns and Recommendations
Expertise
• AWS Professional Services, partners, product teams
• Migration Playbooks
• Patterns and Recommendations
• Proof-of-concepts
• Workshops
• Incentives & credits
Database Freedom is an AWS Database Migration initiative focused on accelerating enterprise migrations from commercial
database engines (Oracle and SQL Server) to AWS native database services.

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Our portfolio
Broad and deep portfolio, purpose-builtfor builders
Redshift
Data warehousing
EMR
Hadoop + Spark
Athena
Interactive analytics
Kinesis Data Analytics
Real time
Elasticsearch Service
Operational Analytics
Amazon RDS
MySQL, PostgreSQL, MariaDB,
Oracle, SQL Server
Aurora
MySQL, PostgreSQL
QuickSight SageMaker
Amazon DynamoDB
Key value
ElastiCache
Redis, Memcached
Neptune
Graph
Timestream
Time Series
QLDB
Ledger Database
Amazon S3 & Amazon
S3 Glacier
AWS Glue
ETL & Data Catalog
Lake formation
Data lakes
Database Migration Service | Snowball | Snowmobile | Kinesis Data Firehose | Kinesis Data Streams
Data Movement
Analytics Databases
Business Intelligence & Machine Learning
Data Lake
Managed
Blockchain
AWS Blockchain
Templates
Blockchain
Amazon RDS on VMware
Amazon DocumentDB
Document

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AWS migration options
AWS DMS
Database migration and
replication managed service
Benefit
• Easily and securely migrate
and/or replicate your
databases and data
warehouses to AWS
• Migrate between different
database engines
• Low cost and global
availability
AWS SCT
Development tooling to
convert schemas
between databases and
data warehouses
Benefit
• Automates schema
conversion including
database structure and
code
• Minimizes manual effort of
performing a schema re-
write
• Allows conversion from
commercial to open
source platforms
Native tooling
Migration options
included with the engine
Benefit
• Leverage a familiar
environment
• Full support for native
features
Open source
Ora2Pg and others
Benefit
• Tailored solution for a
specific problem
• Multiple tools can offer a
more complete solution
than any one product
• Free
Commercial
Attunity, Golden Gate
and others
Benefit
• Commercial solutions are
available for a wide range
of migration sources and
targets including legacy
mainframe systems

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>110,000 databases migrated with DMS

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Workload Qualification Framework (WQF)
• The WQF includes self-service tools, a questionnaire, and design review guidance that Solutions Architects, Partners
and Consultants can use to classifying workloads to determine the ease of migration, staff-hour consumption and to
which appropriate AWS Service to migrate
• There are two main types of database workloads:
• Online Transaction Processing (OLTP): many small/fast transactions and queries via indexes that return few rows
• Data Warehouse (DW): interactive and long-running queries that scan millions of rows and batched updates
• WQF classifies OLTP and DW workloads into five categories:
Category 1 ODBC/JBDC workloads Candidate for Re-Factor
Category 2 Light, proprietary feature workloads Candidate for Re-Factor
Category 3 Heavy, proprietary feature workloads Candidate for Re-Factor/Re-Platform
Category 4 Engine-specific workloads Candidate for Re-Platform/Re-Host
Category 5 Non-portable, high-risk or lift-and-shift Candidate for Re-Host

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Database workload analysis
Disparate DB workloads
Oracle EBS
PSFT / JDE
/ SAP
Siebel / CRM
DW / Lakes
Custom Apps
on Oracle DB
SQL*Server /
Other
DB’s
Big Data /
NoSQL
Outcomes
Re-factor
Gathering data and organizing
“Discovery & planning”
Workload
Qualification
Framework
Assessment
Questionnaires
2-Day
Workshops
• Application Discovery
RDS-Aurora MySQL
RDS-Aurora PostgreSQL
DynamoDB
Redshift/Others
Re-platform
RDS-Oracle
RDS-SQL Server
RDS-MySQL
RDS-PostgreSQL
Re-host
Elastic Compute (EC2)
Elastic Block Storage (EBS)
Other Options
Simple Storage (S3)
• Migration Hub
• Migration Readiness Program
Increasingvalue

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Legacy databases to AWS Migration Playbooks
• 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 – available
• SQL Server to Aurora MySQL – available
• SQL Server to Aurora PostgreSQL – available
SCT DMS Playbook
Schema Data Best Practices

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AWS database partners
Migration SI Partners License Advisory Partners

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Database migration resources
Migration methodology
AWS tools and
specialist teams
AWS partners
AWS investment AWS training AWS Professional Services

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

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When to use AWS DMS and AWS SCT?
Modernize Migrate Replicate

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AWS SCT
• 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 DMS
Migrate
• Migrate business-critical applications
• Migrate data warehouse to 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 DMS
Replicate
• Create cross region Read Replicas
• Run your analytics in the cloud
• Populate your data lake

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DMS momentum: Automation and acceleration

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AWS SCT

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AWS SCT product highlights
• Assessment of migration
compatibility of source databases
with open-source database
engines – RDS for MySQL, RDS for
PostgreSQL, and Amazon Aurora
• Recommends best target engine
• Provides details level of efforts to
complete migration
Assessment report
• 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
Converts schema and code
• Extracts data through local
migration agents
• Files are loaded to an Amazon S3
bucket and to Amazon Redshift
• Netezza
• Vertica
• Greenplum
• Teradata
• Oracle
• SQL Server
Extracts and migrates
DW to Amazon Redshift

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SCT helps with converting tables, views, and code
Sequences
User-defined types
Synonyms
Packages
Stored procedures
Functions
Triggers
Schemas
Tables
Indexes
Views
Sort & distribution keys

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AWS SCT Migration assessment report
• Assessment of migration
compatibility of source databases
with open-source database engines –
RDS MySQL, RDS PostgreSQL and
Aurora
• Recommends best target engine
• Provides details level of efforts to
complete migration

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When to use SCT?
Modernize
&
migrate
Modernize your database tier
Modernize and migrate
Cassandra to Amazon DynamoDB
Amazon Aurora
Amazon Redshift
Modernize and migrate your data
warehouse to Amazon Redshift
Amazon DynamoDB

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AWS DMS

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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
Pre-migration assessment
• Validates that all data selected for
migration migrated properly
• Includes both stages of full load
and CDC
• Applies for both homogeneous and
heterogeneous migrations
Data validation
Use AWS Snowball & AWS DMS to
migrate data to AWS
• Migrate large databases (over 5 TB)
• Migrate many databases at once
• Migrate over slow network
• Push vs. pull
Snowball integration

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Migration validation
Pre-migration assessment
• Checks migration task settings prior to
launch
• Alerts for potential issues, such as
unsupported data types
Post-migration assessment
• Validates that all data selected for
migration migrated properly

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When to use DMS?
Amazon RedshiftAmazon
DynamoDB
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Oracle SQL Server Netezza
Greenplum Vertica Teradata
AWS Snowball
Edge
MongoDB Cassandra
Amazon
Elasticsearch
Amazon Kinesis

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How does it work?

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Database migration process
Step 1: Convert or copy your schema
Source DB or DW
AWS SCT
Native Tool
Destination DB or DW
Step 2: Move your data
Source DB or DW
AWS SCT
Destination DB or DW
AWS DMS

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Customer
premises
Application users
AWS
Internet
VPN
Start a replication instance
Connect to source and target
databases
Select tables, schemas, or databases
 Let AWS DMS create tables,
load data, and keep them in
sync
 Switch applications over to
the target at your convenience
Keep your apps running during the migration
AWS
DMS

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Multi-AZ option for high availability
Customer
premises
or AWS
AWS
Internet
VPN
AWS DMS
AWS DMS

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Load is table by table
Replication instance
Source Target

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Change data capture (CDC) and apply
Replication instanceSource Target
Update
t1 t2
t1
t2
Transactions
Change apply after bulk load

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What else can I do?

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Homogenous or heterogeneous
SQL Server MySQL
Oracle Oracle
Oracle Amazon S3

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Source
Take it all—or not
Target
Replication instance

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Source
Target
Consolidation
Source
Source
Replication instance

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Partition Target
Source Target
Target
Replication instance

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Other migrations

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Data warehouse to Redshift migration
Extract data from your data warehouse and migrate to Amazon Redshift
• Data is extracted through local migration agents
• Data is optimized for Amazon Redshift and saved in local files
• Files are loaded to an Amazon S3 bucket (through network or AWS Snowball) and then to
Amazon Redshift
Amazon RedshiftAWS SCT S3 Bucket

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Old world to AWS Migration Playbooks
• 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 – Available
• SQL Server to Aurora MySQL – Available
• SQL Server to Aurora PostgreSQL – Available
SCT DMS Playbook
Schema Data Best Practices

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https://tinyurl.com/y462ne2u

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Getting started
Determine database migration path
Project based or large scale re-factoring
1
3 Use DMS and SCT tools to kick-off database migration pilot!
2 Initiate database migration discovery and build business case
Contact: Sandeep Brahmarouthu – BDM
brahmaro@amazon.com

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Resources
Database migrations
https://aws.amazon.com/solutions/database-migrations/
Database freedom
https://aws.amazon.com/solutions/databasemigrations/database-
freedom/
AWS Database Migration Service resources
https://aws.amazon.com/dms/resources/
Contact:
Sandeep Brahmarouthu – BDM
brahmaro@amazon.com

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Thank you!
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.

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