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Double-Take Share:Easy, Automated Data Sharing is Possible!
Anne-Elisabeth CAILLOTSenior Solution Architect@AnneECaillot
Automate data sharing
Industrialize manual
processesSimplify data integration
Transform the Way You Do Business
Transform the Way You Do BusinessBreaks 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?
MigrationWhat 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
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
Supported Platforms
One Way Two Way
Cascade
Bi-Directional
Distribute
Consolidate
Flexible topologies
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
Sample screen
Source
DT Share at a glance
MonConThe 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.
EDMMAll 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
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
Log-Based Data Capture
TargetDBMS
Queue
SourceDBMS
Retrieve/Transform/Send
Apply
Changed Data
1
1 3
4
Log / Journal
ChangeSelector
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
Guarantees Information AccuracyEnsures 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
Share exactly WHAT you need
Filters determine what data gets moved
– Select specific column and table
– Select specific rows and table
Share exactly HOW you need toTransforms 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
Manipulating Data
Target Column ExpressionsFast way to specify simple and medium complexity data manipulations
Join TablesIt’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 readscripting 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.
Data Sharing Services from VisionQuick 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
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
Sample screen
Source
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