Double-Take Share allows for easy, automated data sharing between databases, applications, and platforms. It captures changes made to the source database, transforms the data as needed, and replicates it to the desired target. This eliminates the need for manual data integration and allows businesses to be more productive, profitable, and see an immediate ROI. Double-Take Share supports replication between various database types and platforms, and provides monitoring and alerting to ensure accurate and reliable data sharing.

1. Double-Take Share:
Easy, Automated Data Sharing is Possible!

2. Anne-Elisabeth CAILLOT
Senior Solution Architect
@AnneECaillot

3. Automate data
sharing
Industrialize manual
processes
Simplify data
integration
Transform the Way You Do Business

4. Transform the Way You Do Business
Breaks down barriers between
• Multiple databases
• Incompatible applications
• Disparate platforms
Makes data sharing easy
• Captures changes
• Transforms the data
• Replicates it to the desired target
Allows for
• Greater productivity
• Higher profitability
• Immediate ROI
• All with no programming!
How can Double-Take Share transform the
way you do business?

5. Migration
What is migration really?
• Hardware Upgrades
• P->V, V->P, etc.
• OS Version
• Server Consolidation
• Data Center Move (and to/from
Hosting)
• SAN Migration (to/from or
vendor)
• Ground to Cloud
• Database Vendor
• Database Version
• OS Vendor
• Application Version
• Reorg While Active

6. Modernization
• Upgrading database version
• Upgrading application version
Conversion
• Moving data to new database or application
• Switch to new operating system
Consolidation
• Reducing # of database platforms
• Standardizing on fewer vendors
• Reducing number of DBs by
consolidating into a centralized database,
data mart or data warehouse
Legacy
App/Database
Legacy
App / Database
New
App / Database
30% planned to consolidate/combine
databases in the next year.
28% plan to convert to a different database.
19% plan to reduce the number databases.
What are your migration plans?
Database Migration scenario

7. Supported Platforms

8. One Way Two Way
Cascade
Bi-Directional
Distribute
Consolidate
Flexible topologies

9. DT Share : Migration to Azure
BI, reporting,
application… can work
directly from Azure
Replicated data are applied
into a SQL DB in Azure
3
Users work on
application locally
Target
Double-Take Share
capture DB changes
and replicate them
1
2
4
Source

10. DT Share at a glance

11. MonCon
The monitoring and control interface is one of
several ways to monitor the status of replication in
real time. WebMonCon that allows monitoring
through a web browser.
EDMM
All data replication rules including data
mappings and data manipulations are stored
internally using a scripting language in an
Enterprise Data Movement Model.
DT Share – Component & Monitoring

12.  Data is captured and shared as it changes, immediately and quickly
replicated to other databases as specified
 Only changed data is transferred, so efficient
 Automatically handles the extraction, transformation (if any) and load to
target database (no intervention or manual scripting)
 Ensures write order consistency and guaranteed delivery
Change Data Capture - CDC

13. Log-Based Data Capture
Target
DBMS
Queue
Source
DBMS
Retrieve/Transform/Send
Apply
Changed Data
1
1 3
4
Log / Journal
Change
Selector
Did you know?
Double-Take Share can leverage published Log or Journal
standards to identify and capture the change before
copying to the Double-Take Share Queue
The Double-Take Share Queue ensures that data integrity is
maintained and zero data loss occurs in the event of a
dropped connection during file transmission
2

14. Guarantees Information Accuracy
Ensures ongoing integrity
> Changes collected in queue on
source
> Moved to target only after
committed on source
> Ensures write-order-
consistency retained
> Queues retained until
successfully applied
> No database table locking
• Ensures failure integrity
> Automatically detects
communications errors
> Alerts administrator
> Automatically recovers the
connection and processes
> No data is lost
SMTP Alerting

15. Share exactly WHAT you need
Filters determine what
data gets moved
– Select specific column
and table
– Select specific rows
and table

16. Share exactly HOW you need to
Transforms data into useful
information
> Over 60 built-in data
transformation methods
> Fields:
- DECIMAL(5,2)
- nulltostring(ZIP_CODE,'00000')
> Tables:
- Column merging
- Column splitting
- Creating derived columns
> Custom lookup tables
> Create custom data
transformations using
powerful Double-Take Share
Java scripting interface

17. Manipulating Data
Target Column
Expressions
Fast way to specify simple
and medium complexity
data manipulations
Join Tables
It’s possible to join tables
together and build a new table on
the target.
Replication Scripting Language (RSL)
All data manipulations stored in a easy to read
scripting language, which can be exported,
edited and imported for advanced
manipulations by power users. Also a big time
saver in sophisticated enterprise environments
with lots of tables.

18. Data Sharing Services from Vision
Quick Start for new implementations
• Accelerate your implementation
– Project planning workshop
– Software installation
– Custom configuration
– Data sharing audit
• Fast-track staff proficiency with skills transfer
– Model building
– Data movement and monitoring
Update for existing implementations
• Refresh your software
– Installation of the latest version of Double-Take
Share
– Configuration tune-up
• Update your skills
– Skills transfer to your staff on the latest features
– Gain a better understanding of your data
sharing environment
19

19. DT Share : Migration to Azure
BI, reporting,
application… can work
directly from Azure
Replicated data are applied
into a SQL DB in Azure
3
Users work on
application locally
Target
Double-Take Share
capture DB changes
and replicate them
1
2
4
Source

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