Download Data/Application integration

Easy, Automated, Real-Time Data Sharing
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Survey Results
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60% of respondents use a manual process to share data
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57% use in-house tools
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40% use a 3rd party ETL tool
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70% want/need to share data nearer to real-time due to business requirements
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45% report that decision makers are concerned about latency
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50% run BI reports today on production servers
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30% planned to consolidate/combine databases in the next year
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28% plan to convert to a different database
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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
Application
Integration
Feeding Mission
Critical Apps
Reporting /
Warehousing
Feeding real time data to mission critical applications
> eCommerce
> Analytics
> Web portals
Of business with multiple
databases, 65% are concerned that
their data is inconsistent.*
Populating backup and test environments
* August 2011 Vision Solutions survey
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Database Migration Scenarios
Modernization
Legacy
Legacy
App/Database
App / Database
> Upgrading database version
> Upgrading application version
Conversion
> Moving data to new database or application
New
> 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
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.*
* August 2011 Vision Solutions survey
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Double-Take Share
Easy Data Sharing Between Databases in Real Time
Simplifies
data integration
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Automates
enterprise data sharing
Replaces
manual processes
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Flexible Architecture
One Way
Two Way
Distribute
Bi-Directional
Consolidate
Cascade
Flexible topologies to meet business needs
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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
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High Level Architecture
Administrative Console
(Director)
Source
Target
EDMM
Metadata
EDMM
Metadata
LAN / WAN
Data path
Change Data
Capture
Source
DataBase
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Target
DataBase
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Log-Based Data Capture
Changed Data
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Log / Journal
Queue
Retrieve/Transform/Send
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Source
DBMS
Change
Selector
Apply
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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
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Target
DBMS
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Guarantees Information Accuracy
Ensures ongoing integrity
> Changes collected in queue
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on source
Moved to target only after
committed on source
Ensures write-orderconsistency retained
Queues retained until
successfully applied
No database table locking
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Ensures failure integrity
> Automatically detects
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communications errors
Alerts administrator
Automatically recovers
the connection and
processes
No data is lost
SMTP Alerting
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Accurate Tracking & Data Auditing
Detects and resolves conflicts
automatically
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Maintains data integrity
Model verification
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Validation checking
Audit Journal Mapping tracks all
Updates and Changes
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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
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Share exactly WHAT you need
Filters determine what
data gets moved
– Select specific column
and table
– Select specific rows
and table
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Share exactly HOW you need to
Transforms data into useful
information
> Over 60 built-in data
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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
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Double-Take Share Case Study
APPLICATION INTEGRATION PROJECT
Introduced automated warehouse picking using technology
from Swisslogic. Also faster Data Warehouse Load.
IBM System i DB2
IBM AIX
Oracle
Double-Take
Share replicates
bi-directional
transactions in
real time to/from
Oracle on AIX
JD Edwards suite for Supply
Chain Management,
Distribution and
Warehousing for
Pharmaceuticals
Double-Take Share
Replaced batch reload
of data warehouse with
DT Share creating
incremental extracts of
last changed row, and
deleted transactions.
Cognos
Cube
MS SQL Server
Bi-directional replication
Double-Take Share real time interface between
Swisslogic and JD Edwards ERP application.
Stock picking and movement reports bidirectional data.
Query reports
Swisslog - A leading global provider of
integrated solutions for logistics
automation.
Double-Take Share Case Study
APPLICATION INTEGRATION PROJECT
Introduced automated manufacturing inspection tracking
using FactoryTalk. Also faster Data Warehouse Load.
Double-Take Share Replaced
batch reload of data warehouse
with DT Share creating
incremental extracts of last
changed row, and deleted
transactions.
Production System
Double-Take Share
Real time CDC replication
with transformation
Bi-directional replication
IBM System i DB2
BPCS
Production line
information is
transformed and
sent to BPCS
MS 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
MS SQL Server
Query reports
The ability to transform Manufacturing
Intelligence into process improvements
underscores the value of production data.
Rockwell Automation captures this data in
SQL Server
Apria Healthcare
Data Consolidation for Right-Time Critical Dashboards
Hospital 1
Hospital 2
…
Hospital 23
Hospital 24
Real-time
analytics are
reported to
the executive
desktops
Single Combined Schema
Business intelligence
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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.
GA Nov
2014
Migrate, Protect & Recover… Anywhere
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DT Share 5.3 Upcoming Release
• Enhancements for Windows / SQL Server environments:
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Double-Take Share adds support for Microsoft SQL Server
2014. 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
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DT Share 5.3 Upcoming Release
• Enhancements for IBM i environments:
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Replication performance has been significantly boosted in
IBM i environments. The replication queues have been rearchitected 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
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DT Share 5.3 Upcoming Release
• Enhancements for Teradata environments:
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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
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Support for IBM DB2 LUW (DB2 for Linux, Unix and Windows)
versions 9.7 and 10
DT Share is
field proven
on Power
Linux
Migrate, Protect & Recover… Anywhere
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Migration
What is migration really?
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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
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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
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Greater productivity
Higher profitability
Immediate ROI
All with no programming!
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How can Double-Take Share transform the
way you do business?
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Questions?