Easy, Automated, Real-Time Data Sharing visionsolutions.com 1

Survey Results  60% of respondents use a manual process to share data  57% use in-house tools  40% use a 3 rd party ETL tool  70% want/need to share data nearer to real-time due to business requirements  45% report that decision makers are concerned about latency  50% run BI reports today on production servers  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

Common Data Sharing Scenarios Data/Application integration >Accelerate the sharing of data between applications >Keep distributed operations in sync >Distributed users need to see each other’s data in real time Data centralization for warehousing, reporting, or BI >Centralize data from one or multiple sources >Real-time access to current data for reporting or BI Feeding real time data to mission critical applications >eCommerce >Analytics >Web portals Populating backup and test environments Application Integration Reporting / Warehousing Feeding Mission Critical Apps visionsolutions.com 3 * August 2011 Vision Solutions survey. * Of business with multiple databases, 65% are concerned that their data is inconsistent. *

Database Migration Scenarios 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 visionsolutions.com 4 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.* * August 2011 Vision Solutions survey

Automates enterprise data sharing Replaces manual processes Simplifies data integration Double-Take Share Easy Data Sharing Between Databases in Real Time visionsolutions.com 5

Flexible Architecture Flexible topologies to meet business needs One Way Two Way Cascade Bi-Directional Distribute Consolidate visionsolutions.com 6

Change Data Capture (CDC) 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 visionsolutions.com 7

High Level Architecture Source DataBase EDMM Metadata Target DataBase Change Data Capture Target Administrative Console (Director) EDMM Metadata LAN / WAN Data path Source visionsolutions.com 8

Log-Based Data Capture Target DBMS Queue Source DBMS Retrieve/Transform/Send Apply Changed Data 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 visionsolutions.com 9

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 visionsolutions.com 10

Accurate Tracking & Data Auditing Audit Journal Mapping tracks all Updates and Changes > Records before and after values for every column > Type of transaction > Sending DBMS type > Table Name > User Name > Transaction Information > Records to flat file or to db table > Can assist with SOX, HIPPA audit requirements Detects and resolves conflicts automatically > Maintains data integrity Model verification > Validation checking visionsolutions.com 11

Share exactly WHAT you need Filters determine what data gets moved – Select specific column and table – Select specific rows and table visionsolutions.com 12

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 visionsolutions.com 13

Bi-directional replication Double-Take Share replicates bi-directional transactions in real time to/from Oracle on AIX Double-Take Share Case Study JD Edwards suite for Supply Chain Management, Distribution and Warehousing for Pharmaceuticals IBM AIX IBM System i DB2 Introduced automated warehouse picking using technology from Swisslogic. Also faster Data Warehouse Load. APPLICATION INTEGRATION PROJECT Swisslog - A leading global provider of integrated solutions for logistics automation. Double-Take Share real time interface between Swisslogic and JD Edwards ERP application. Stock picking and movement reports bi- directional data. Query reports Cognos Cube MS SQL Server Double-Take Share Replaced batch reload of data warehouse with DT Share creating incremental extracts of last changed row, and deleted transactions. Oracle

Bi-directional replication Double-Take Share Case Study IBM System i DB2 BPCS Introduced automated manufacturing inspection tracking using FactoryTalk. Also faster Data Warehouse Load. MS SQL Server Double-Take Share Real time CDC replication with transformation Production line information is transformed and sent to BPCS Production System APPLICATION INTEGRATION PROJECT The ability to transform Manufacturing Intelligence into process improvements underscores the value of production data. Rockwell Automation captures this data in SQL Server The ability to transform Manufacturing Intelligence into process improvements underscores the value of production data. Rockwell Automation captures this data in SQL Server Query reports MS SQL Server Double-Take Share Replaced batch reload of data warehouse with DT Share creating incremental extracts of last changed row, and deleted transactions.

Apria Healthcare Hospital 1 Hospital 2 Hospital 23 Hospital 24 Single Combined Schema Real-time analytics are reported to the executive desktops Business intelligence Sample screen Data Consolidation for Right-Time Critical Dashboards … visionsolutions.com 16

DT Share 5.3 Upcoming Release Performance Enhancements and Added Support in Double-Take Share 5.3 Double-Take Share 5.3 solidifies the product’s place in heterogeneous database environments. This release focuses in on three major platforms, with additional general requirements as listed below. Migrate, Protect & Recover… Anywhere 17 GA Nov 2014

DT Share 5.3 Upcoming Release Enhancements for Windows / SQL Server environments: Double-Take Share adds support for Microsoft SQL Server Combined with the remote hosting architecture support introduced in Share 5.2, Share can rightfully claim to support Microsoft’s latest offerings, be it replication on premise or in the cloud. In addition, Double-Take Share now supports GEOGRAPHY and GEOMETRY data types in SQL Server environments. Migrate, Protect & Recover… Anywhere 18

DT Share 5.3 Upcoming Release Enhancements for IBM i environments: Replication performance has been significantly boosted in IBM i environments. The replication queues have been re- architected in order to minimize the performance impact of Share replication, and multiple change selectors can now be configured in a replication model. Support for IBM i 7.2, IBM’s latest operating system on the Power platform. Migrate, Protect & Recover… Anywhere 19

DT Share 5.3 Upcoming Release Enhancements for Teradata environments: Replication apply performance has also been boosted in Teradata environments by utilizing Teradata Parallel Transporter to apply the replicated data to the database. Addition Features Support for IBM DB2 LUW (DB2 for Linux, Unix and Windows) versions 9.7 and 10 Migrate, Protect & Recover… Anywhere 20 DT Share is field proven on Power Linux

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 visionsolutions.com 21

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! 22 visionsolutions.com How can Double-Take Share transform the way you do business?

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