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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
April 19, 2017
Migrate from Oracle to
Amazon Aurora using AWS
Schema Conversion Tool &
AWS Database Migration
Service
Nick Hertl, Senior SDE
• Multi-engine support: Aurora, MySQL, MariaDB,
PostgreSQL, Oracle, SQL Server
• Automated provisioning, patching, scaling,
backup/restore, failover
• High availability with RDS Multi-AZ
– 99.95% SLA for Multi-AZ deployments
Amazon RDS
Meet Amazon Aurora ……
Database reimagined for the cloud
 Speed and availability of high-end commercial databases
 Simplicity and cost-effectiveness of open source databases
 Drop-in compatibility with MySQL (PostgreSQL compatibility
coming in May)
 Simple pay as you go pricing
Delivered as a managed service
Who are moving to Aurora and why?
Customers using
commercial engines
Customers using
MySQL engines
 Higher performance – up to 5x
 Better availability and durability
 Reduces cost – up to 60%
 Easy migration; no application change
 One tenth of the cost; no licenses
 Integration with cloud ecosystem
 Comparable performance and availability
 Migration tooling and services
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
The Journey…
How can I get to the cloud?
How will my on-premises data migrate to the cloud?
How can I make it transparent to my users?
Afterwards, how will on-premises and cloud data interact?
How can I integrate my data assets within AWS?
Can I get help moving off of commercial databases?
Migration used to be cost + complexity + time
Commercial data migration and replication software
Complex to set up and manage
Application downtime
Database-engine-specific application code
Amazon Aurora migration options
Source database From where Recommended option
RDS
EC2, on premise
EC2, on premise, RDS
Console based automated
snapshot ingestion and catch
up via binlog replication.
Binary snapshot ingestion
through S3 and catch up via
binlog replication.
Schema conversion using
SCT and data migration via
DMS.
What are DMS and SCT?
AWS Database Migration Service (DMS) easily and securely
migrates and/or replicate your databases and data warehouses
to AWS
AWS Schema Conversion Tool (SCT) converts your commercial
database and data warehouse schemas to open-source engines or
AWS-native services, such as Amazon Aurora and Redshift
We have migrated over 22,000 unique databases. And counting…
When to use DMS and SCT?
Modernize Migrate Replicate
When to use DMS and SCT?
Modernize
Modernize your database tier
Modernize your Data Warehouse
Amazon Aurora
Amazon Redshift
When to use DMS and SCT?
Migrate
• Migrate business-critical
applications
• Migrate from Classic to VPC
• Migrate data warehouse to
Redshift
• Upgrade to a minor version
• Consolidate shards into Aurora
Sources:
Targets:
Amazon
Dynamo DB
Amazon Redshift
Amazon S3
Amazon Aurora
When to use DMS and SCT?
Replicate • Create cross-regions Read Replicas
• Run your analytics in the cloud
• Keep your dev/test and production
environment sync
New SCT Data Extractors
Extract Data from your data warehouse* and migrate to Amazon Redshift
• Extracts through local migration agents
• Data is optimized for Redshift and Saved
in local files
• Files are loaded to an Amazon S3 bucket
(through network or Amazon Snowball)
and then to Amazon Redshift
Amazon
Redshift
AWS SCT S3 Bucket
* 1st release supports Oracle v11 and up and Teradata v14 and up
Why use DMS and SCT?
Secure
Cost Effective
Remove Barriers
to Entry
Allow DB
Freedom
Keep a Leg in
the Cloud
Easy to Use, but
Sophisticated…
Near-Zero
Downtime
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
What customers are saying about us?
Who is saying What about DMS and SCT?
"We migrated hundreds of our clients from our in-house data-center to Amazon
RDS Oracle 12c using the AWS Data Migration Service (DMS). Due to this
service, we could live-replicate the databases between our data-center and RDS
before the migration. That kept the migration down-time to the very minimum.
We are very happy with DMS and are planning to use it for Oracle to MySQL
migration next”.
”The SCT Assessment Report was the key enabler to allow us to understand the
scope of effort required to complete an Oracle to PostgreSQL migration. What
was originally thought to be a largely manual task that no one was particularly
excited about having to do became a very straight-forward quick and easy
process."
“We are in the process of migrating some databases to Amazon Aurora. The ease
by which we can do this using the AWS Database Migration Service has
simplified this process for us and enabled us to accelerate our migration
efforts. The ability to closely monitor the process, the detailed logging feature,
and the support we received from AWS have given us a great deal of confidence
in a successful migration.”
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How does it work?
Database migration process
SCT guidance
SCT helps with converting tables, views, and code
Sequences
User-defined types
Synonyms
Packages
Stored procedures
Functions
Triggers
Schemas
Tables
Indexes
Views
Sort and distribution keys
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
Load is table by table
Replication instance
Source Target
Change data capture (CDC) and apply
Replication instanceSource Target
Update
t1 t2
t1
t2
Transactions Change
apply
after bulk
load
Source
Target
What else can I do?
Source
Source
Replication instance
What else can I do? Target
Source Target
Target
Replication instance
Source
Take it all—or not
Target
Replication instance
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Demo
Samples and Recipes
https://github.com/awslab
s/aws-database-
migration-samples
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
The fine print
AWS Database Migration service pricing
T2 for developing and periodic data migration tasks
C4 for large databases and minimizing time
T2 pricing starts at $0.018 per hour for T2.micro
C4 pricing starts at $0.154 per hour for C4.large
50 GB GP2 storage included with T2 instances
100 GB GP2 storage included with C4 instances
Data transfer inbound and within AZ is free
Data transfer across AZs starts at $0.01 per GB
Resources available to customers—DMS
Getting Started Guide: Review technical
documentation.
Features and benefits: Highlights DMS
features.
Pricing: Prices for replication instances,
storage, and data transfer.
Support: Post your questions to our
Support forum.
Java SDK: Java-based API for creating
and managing data migration tasks.
AWS Command Line Interface: Start
and stop replication tasks with simple
commands.
Resources available to customers—
AWS Schema Conversion Tool
User Guide: Review technical docs at
aws.amazon.com/documentation/SchemaConversionTool/
or choose the Download button.
Download area: Get installation files for the
Schema Conversion Tool.
Support forums: Ask questions and review
how-to guides.
https://forums.aws.amazon.com/forum.jspa?forumID=208.
AWS database migration partners
Thank you!
aws.amazon.com/dms
Learn more..

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Migrate from Oracle to Amazon Aurora using AWS Schema Conversion Tool & AWS Database Migration Service - April 2017 AWS Online Tech Talks

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. April 19, 2017 Migrate from Oracle to Amazon Aurora using AWS Schema Conversion Tool & AWS Database Migration Service Nick Hertl, Senior SDE
  • 2. • Multi-engine support: Aurora, MySQL, MariaDB, PostgreSQL, Oracle, SQL Server • Automated provisioning, patching, scaling, backup/restore, failover • High availability with RDS Multi-AZ – 99.95% SLA for Multi-AZ deployments Amazon RDS
  • 3. Meet Amazon Aurora …… Database reimagined for the cloud  Speed and availability of high-end commercial databases  Simplicity and cost-effectiveness of open source databases  Drop-in compatibility with MySQL (PostgreSQL compatibility coming in May)  Simple pay as you go pricing Delivered as a managed service
  • 4. Who are moving to Aurora and why? Customers using commercial engines Customers using MySQL engines  Higher performance – up to 5x  Better availability and durability  Reduces cost – up to 60%  Easy migration; no application change  One tenth of the cost; no licenses  Integration with cloud ecosystem  Comparable performance and availability  Migration tooling and services
  • 5. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. The Journey…
  • 6. How can I get to the cloud? How will my on-premises data migrate to the cloud? How can I make it transparent to my users? Afterwards, how will on-premises and cloud data interact? How can I integrate my data assets within AWS? Can I get help moving off of commercial databases?
  • 7. Migration used to be cost + complexity + time Commercial data migration and replication software Complex to set up and manage Application downtime Database-engine-specific application code
  • 8. Amazon Aurora migration options Source database From where Recommended option RDS EC2, on premise EC2, on premise, RDS Console based automated snapshot ingestion and catch up via binlog replication. Binary snapshot ingestion through S3 and catch up via binlog replication. Schema conversion using SCT and data migration via DMS.
  • 9. What are DMS and SCT? AWS Database Migration Service (DMS) easily and securely migrates and/or replicate your databases and data warehouses to AWS AWS Schema Conversion Tool (SCT) converts your commercial database and data warehouse schemas to open-source engines or AWS-native services, such as Amazon Aurora and Redshift We have migrated over 22,000 unique databases. And counting…
  • 10. When to use DMS and SCT? Modernize Migrate Replicate
  • 11. When to use DMS and SCT? Modernize Modernize your database tier Modernize your Data Warehouse Amazon Aurora Amazon Redshift
  • 12. When to use DMS and SCT? Migrate • Migrate business-critical applications • Migrate from Classic to VPC • Migrate data warehouse to Redshift • Upgrade to a minor version • Consolidate shards into Aurora Sources: Targets: Amazon Dynamo DB Amazon Redshift Amazon S3 Amazon Aurora
  • 13. When to use DMS and SCT? Replicate • Create cross-regions Read Replicas • Run your analytics in the cloud • Keep your dev/test and production environment sync
  • 14. New SCT Data Extractors Extract Data from your data warehouse* and migrate to Amazon Redshift • Extracts through local migration agents • Data is optimized for Redshift and Saved in local files • Files are loaded to an Amazon S3 bucket (through network or Amazon Snowball) and then to Amazon Redshift Amazon Redshift AWS SCT S3 Bucket * 1st release supports Oracle v11 and up and Teradata v14 and up
  • 15. Why use DMS and SCT? Secure Cost Effective Remove Barriers to Entry Allow DB Freedom Keep a Leg in the Cloud Easy to Use, but Sophisticated… Near-Zero Downtime
  • 16. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. What customers are saying about us?
  • 17. Who is saying What about DMS and SCT? "We migrated hundreds of our clients from our in-house data-center to Amazon RDS Oracle 12c using the AWS Data Migration Service (DMS). Due to this service, we could live-replicate the databases between our data-center and RDS before the migration. That kept the migration down-time to the very minimum. We are very happy with DMS and are planning to use it for Oracle to MySQL migration next”. ”The SCT Assessment Report was the key enabler to allow us to understand the scope of effort required to complete an Oracle to PostgreSQL migration. What was originally thought to be a largely manual task that no one was particularly excited about having to do became a very straight-forward quick and easy process." “We are in the process of migrating some databases to Amazon Aurora. The ease by which we can do this using the AWS Database Migration Service has simplified this process for us and enabled us to accelerate our migration efforts. The ability to closely monitor the process, the detailed logging feature, and the support we received from AWS have given us a great deal of confidence in a successful migration.”
  • 18. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. How does it work?
  • 21. SCT helps with converting tables, views, and code Sequences User-defined types Synonyms Packages Stored procedures Functions Triggers Schemas Tables Indexes Views Sort and distribution keys
  • 22. 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
  • 23. Load is table by table Replication instance Source Target
  • 24. Change data capture (CDC) and apply Replication instanceSource Target Update t1 t2 t1 t2 Transactions Change apply after bulk load
  • 25. Source Target What else can I do? Source Source Replication instance
  • 26. What else can I do? Target Source Target Target Replication instance
  • 27. Source Take it all—or not Target Replication instance
  • 28. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Demo
  • 30. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. The fine print
  • 31. AWS Database Migration service pricing T2 for developing and periodic data migration tasks C4 for large databases and minimizing time T2 pricing starts at $0.018 per hour for T2.micro C4 pricing starts at $0.154 per hour for C4.large 50 GB GP2 storage included with T2 instances 100 GB GP2 storage included with C4 instances Data transfer inbound and within AZ is free Data transfer across AZs starts at $0.01 per GB
  • 32. Resources available to customers—DMS Getting Started Guide: Review technical documentation. Features and benefits: Highlights DMS features. Pricing: Prices for replication instances, storage, and data transfer. Support: Post your questions to our Support forum. Java SDK: Java-based API for creating and managing data migration tasks. AWS Command Line Interface: Start and stop replication tasks with simple commands.
  • 33. Resources available to customers— AWS Schema Conversion Tool User Guide: Review technical docs at aws.amazon.com/documentation/SchemaConversionTool/ or choose the Download button. Download area: Get installation files for the Schema Conversion Tool. Support forums: Ask questions and review how-to guides. https://forums.aws.amazon.com/forum.jspa?forumID=208.