Migrer vos bases Oracle vers du SQL, le tout dans Azure !
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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.
Migrer vos bases Oracle vers du SQL, le tout dans Azure !
- 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
- 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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