SlideShare a Scribd company logo
1 of 24
visionsolutions.com
1
Sharing Database Information
When where and how you need it
Andy Ebbs
Solution Architect UK & Nordics
andy.ebbs@visionsolutions.com
+44 (0) 1905 728023
Automates
enterprise data sharing
Replaces
manual processes
Simplifies
data integration
Double-Take Share
Easy Data Sharing Between Databases in Real Time
visionsolutions.com 2
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!
3visionsolutions.com
How can Double-Take Share transform the
way you do business?
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 4
* August 2011 Vision Solutions survey
Broad Spectrum of Supported Platforms
visionsolutions.com 5
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 6
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 7
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
visionsolutions.com 8
Share exactly WHAT you need
Filters determine what
data gets moved
– Select specific column
and table
– Select specific rows
and table
visionsolutions.com 9
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 10
Flexible Architecture
Flexible topologies to meet business needs
One Way Two Way
Cascade
Bi-Directional
Distribute
Consolidate
visionsolutions.com 11
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.
Double-Take Share Use Case
Centralized Reporting and BI
Casino 1
IBM System i
DB2
Casino 2
IBM System i
DB2
Casino 3
IBM System i
DB2
Casino 4
IBM System i
DB2
Casino 5
IBM System i
DB2
Casino 6
IBM System i
DB2
Single Data Warehouse Database
Windows Cluster
MS SQL Server
Customer loyalty
Amounts paid
Amounts won
Time at the table
Time at the machine
Business intelligence
Real time CDC replication
with transformation
visionsolutions.com 13
IBM System i DB2
Lawson M3 (Movex)
MS SQL Server 2005
Query reports
Data Warehouse load
Real time CDC replication
with transformation
Reduce CPU and I/O overhead
on production system
improve user response times
Many cost effective tools available
on MS SQL server
platform for query reports
Data is already partially
‘scrubbed’ and available
for loading data warehouses
and data marts without
performance impact on
production system
Production System Offload Query System
Double-Take Share Use Case
Offload Production Processing
visionsolutions.com 14
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 15
* August 2011 Vision Solutions survey
DR
How does replication work?
Application
layer
Operating
system
Hardware
layer
User application
Double-Take
driver
Application
layer
Operating
system
Hardware
layer
Double-Take
driver
Double-Take
service
Double-Take
service
An initial mirror copies all
of the data to the target
HDD HDD
How does replication work?
Application
layer
Operating
system
Hardware
layer
HDD
User application
Double-Take
driver
Application
layer
Operating
system
Hardware
layer
HDD
Double-Take
driver
Double-Take
service
Double-Take
service

The Double-Take
driver sees bytes of I/O
en route to the file
system and copies
them into memory
As confirmation of the
write travels back to the
application, Double-Take
then sends the bytes to
the target
How does replication work?
Application
layer
Operating
system
Hardware
layer
HDD
User application
Double-Take
driver
Application
layer
Operating
system
Hardware
layer
HDD
Double-Take
driver
Double-Take
service
Double-Take
service
During high-latency
periods, Double-Take
will buffer changes to
memory
Disk
Queue
If configurable memory
buffers are exceeded,
Double-Take will buffer
to disk for additional
latency tolerance
How does replication work?
Application
layer
Operating
system
Hardware
layer
HDD
User application
Double-Take
driver
Application
layer
Operating
system
Hardware
layer
HDD
Double-Take
driver
Double-Take
service
Double-Take
service
Once latency
improves, replication
resumes transmission,
while always
preserving write-order
integrity
Disk
Queue
Full Server Replication
Production
Server
Basic Windows file
server
DR_01BES_01
Staging
Directory
BES_01
Staged information
overwrites system
configuration (non-
hardware)
Reboots and
becomes identical
to source server
Full Server to ESX or Hyper-V (VRA)
Target VM is automatically provisioned
Real-time Replication
No OS/Application licensing on target
Supports Windows 2003-2012R2
Hyper-V or ESX
Replication
Monitor
source_d.vmdk
Source1_Replica (offline)
Source 1
Drive D
ESX / Hyper-V
source2_c.vmdk
Source2_Replica (offline)
Source 2
Drive c
VRA Helper
Drive C
source_c.vmdk
source2_c.vmdk
Source2_Replica - Online
Double-Take DR Edition
andy.ebbs@visionsolutions.com
Thanks for
your time!

More Related Content

What's hot

IBM InfoSphere Data Architect 9.1 - Francis Arnaudiès
IBM InfoSphere Data Architect 9.1 - Francis ArnaudièsIBM InfoSphere Data Architect 9.1 - Francis Arnaudiès
IBM InfoSphere Data Architect 9.1 - Francis ArnaudièsIBMInfoSphereUGFR
 
Balancing cost and risk migrating from windows server 2003 to the cloud
Balancing cost and risk  migrating from windows server 2003 to the cloud Balancing cost and risk  migrating from windows server 2003 to the cloud
Balancing cost and risk migrating from windows server 2003 to the cloud AppZero Inc
 
Présentation IBM InfoSphere Information Server 11.3
Présentation IBM InfoSphere Information Server 11.3Présentation IBM InfoSphere Information Server 11.3
Présentation IBM InfoSphere Information Server 11.3IBMInfoSphereUGFR
 
How to Solve the Challenge of Windows Server 2003 End of Life
How to Solve the Challenge of Windows Server 2003 End of LifeHow to Solve the Challenge of Windows Server 2003 End of Life
How to Solve the Challenge of Windows Server 2003 End of LifeGreg O'Connor
 
Ibm leads way with hadoop and spark 2015 may 15
Ibm leads way with hadoop and spark 2015 may 15Ibm leads way with hadoop and spark 2015 may 15
Ibm leads way with hadoop and spark 2015 may 15IBMInfoSphereUGFR
 
Microsoft SQL Server - Virtualization Datasheet
Microsoft SQL Server - Virtualization DatasheetMicrosoft SQL Server - Virtualization Datasheet
Microsoft SQL Server - Virtualization DatasheetMicrosoft Private Cloud
 
Migrating on premises workload to azure sql database
Migrating on premises workload to azure sql databaseMigrating on premises workload to azure sql database
Migrating on premises workload to azure sql databasePARIKSHIT SAVJANI
 
Store Data in Azure SQL Database
Store Data in Azure SQL DatabaseStore Data in Azure SQL Database
Store Data in Azure SQL DatabaseSuhail Jamaldeen
 
Tarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshooting
Tarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshootingTarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshooting
Tarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshootingJovan Popovic
 
Introduction to microsoft sql server 2008 r2
Introduction to microsoft sql server 2008 r2Introduction to microsoft sql server 2008 r2
Introduction to microsoft sql server 2008 r2Eduardo Castro
 
Cio Breakfast Roundtable 05142009 Final Virtualization
Cio Breakfast Roundtable 05142009 Final VirtualizationCio Breakfast Roundtable 05142009 Final Virtualization
Cio Breakfast Roundtable 05142009 Final Virtualizationguestc900809
 
Sql server briefing sept
Sql server briefing septSql server briefing sept
Sql server briefing septMark Kromer
 
Onomi - MongoDB Introduction
Onomi - MongoDB IntroductionOnomi - MongoDB Introduction
Onomi - MongoDB IntroductionOnomi
 
EDB Postgres Backup and Recovery
EDB Postgres Backup and RecoveryEDB Postgres Backup and Recovery
EDB Postgres Backup and RecoveryEDB
 
BISMART Bihealth. Microsoft Business Intelligence in health
BISMART Bihealth. Microsoft Business Intelligence in healthBISMART Bihealth. Microsoft Business Intelligence in health
BISMART Bihealth. Microsoft Business Intelligence in healthalbertisern
 
Capito Ardoe House VMWare Presentation
Capito Ardoe House VMWare PresentationCapito Ardoe House VMWare Presentation
Capito Ardoe House VMWare PresentationCapito Livingstone
 
Sql server 2008 r2 analysis services overview whitepaper
Sql server 2008 r2 analysis services overview whitepaperSql server 2008 r2 analysis services overview whitepaper
Sql server 2008 r2 analysis services overview whitepaperKlaudiia Jacome
 
Opalis - Infrastructure Optimization for the Future
Opalis - Infrastructure Optimization for the FutureOpalis - Infrastructure Optimization for the Future
Opalis - Infrastructure Optimization for the FutureDave Kawula
 

What's hot (19)

IBM InfoSphere Data Architect 9.1 - Francis Arnaudiès
IBM InfoSphere Data Architect 9.1 - Francis ArnaudièsIBM InfoSphere Data Architect 9.1 - Francis Arnaudiès
IBM InfoSphere Data Architect 9.1 - Francis Arnaudiès
 
Balancing cost and risk migrating from windows server 2003 to the cloud
Balancing cost and risk  migrating from windows server 2003 to the cloud Balancing cost and risk  migrating from windows server 2003 to the cloud
Balancing cost and risk migrating from windows server 2003 to the cloud
 
Présentation IBM InfoSphere Information Server 11.3
Présentation IBM InfoSphere Information Server 11.3Présentation IBM InfoSphere Information Server 11.3
Présentation IBM InfoSphere Information Server 11.3
 
How to Solve the Challenge of Windows Server 2003 End of Life
How to Solve the Challenge of Windows Server 2003 End of LifeHow to Solve the Challenge of Windows Server 2003 End of Life
How to Solve the Challenge of Windows Server 2003 End of Life
 
Ibm leads way with hadoop and spark 2015 may 15
Ibm leads way with hadoop and spark 2015 may 15Ibm leads way with hadoop and spark 2015 may 15
Ibm leads way with hadoop and spark 2015 may 15
 
Power bi
Power biPower bi
Power bi
 
Microsoft SQL Server - Virtualization Datasheet
Microsoft SQL Server - Virtualization DatasheetMicrosoft SQL Server - Virtualization Datasheet
Microsoft SQL Server - Virtualization Datasheet
 
Migrating on premises workload to azure sql database
Migrating on premises workload to azure sql databaseMigrating on premises workload to azure sql database
Migrating on premises workload to azure sql database
 
Store Data in Azure SQL Database
Store Data in Azure SQL DatabaseStore Data in Azure SQL Database
Store Data in Azure SQL Database
 
Tarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshooting
Tarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshootingTarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshooting
Tarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshooting
 
Introduction to microsoft sql server 2008 r2
Introduction to microsoft sql server 2008 r2Introduction to microsoft sql server 2008 r2
Introduction to microsoft sql server 2008 r2
 
Cio Breakfast Roundtable 05142009 Final Virtualization
Cio Breakfast Roundtable 05142009 Final VirtualizationCio Breakfast Roundtable 05142009 Final Virtualization
Cio Breakfast Roundtable 05142009 Final Virtualization
 
Sql server briefing sept
Sql server briefing septSql server briefing sept
Sql server briefing sept
 
Onomi - MongoDB Introduction
Onomi - MongoDB IntroductionOnomi - MongoDB Introduction
Onomi - MongoDB Introduction
 
EDB Postgres Backup and Recovery
EDB Postgres Backup and RecoveryEDB Postgres Backup and Recovery
EDB Postgres Backup and Recovery
 
BISMART Bihealth. Microsoft Business Intelligence in health
BISMART Bihealth. Microsoft Business Intelligence in healthBISMART Bihealth. Microsoft Business Intelligence in health
BISMART Bihealth. Microsoft Business Intelligence in health
 
Capito Ardoe House VMWare Presentation
Capito Ardoe House VMWare PresentationCapito Ardoe House VMWare Presentation
Capito Ardoe House VMWare Presentation
 
Sql server 2008 r2 analysis services overview whitepaper
Sql server 2008 r2 analysis services overview whitepaperSql server 2008 r2 analysis services overview whitepaper
Sql server 2008 r2 analysis services overview whitepaper
 
Opalis - Infrastructure Optimization for the Future
Opalis - Infrastructure Optimization for the FutureOpalis - Infrastructure Optimization for the Future
Opalis - Infrastructure Optimization for the Future
 

Similar to Big Data Expo 2015 - Vision Solutions Sharind Database Information

Attunity Efficient ODR For Sql Server Using Attunity CDC Suite For SSIS Slide...
Attunity Efficient ODR For Sql Server Using Attunity CDC Suite For SSIS Slide...Attunity Efficient ODR For Sql Server Using Attunity CDC Suite For SSIS Slide...
Attunity Efficient ODR For Sql Server Using Attunity CDC Suite For SSIS Slide...Melissa Kolodziej
 
Sql Server 2012 Datasheet
Sql Server 2012 DatasheetSql Server 2012 Datasheet
Sql Server 2012 DatasheetMILL5
 
Office 365 introduction
Office 365 introductionOffice 365 introduction
Office 365 introductionGlobal News
 
Azure SQL DB Managed Instances Built to easily modernize application data layer
Azure SQL DB Managed Instances Built to easily modernize application data layerAzure SQL DB Managed Instances Built to easily modernize application data layer
Azure SQL DB Managed Instances Built to easily modernize application data layerMicrosoft Tech Community
 
Microsoft Cloud Database & Cloud BI
Microsoft Cloud Database & Cloud BIMicrosoft Cloud Database & Cloud BI
Microsoft Cloud Database & Cloud BIMark Kromer
 
Data Migration and Data-Tier Applications with SQL Azure
Data Migration and Data-Tier Applications with SQL AzureData Migration and Data-Tier Applications with SQL Azure
Data Migration and Data-Tier Applications with SQL AzureMark Kromer
 
A Guide to Modern BPM Data Integration
A Guide to Modern BPM Data IntegrationA Guide to Modern BPM Data Integration
A Guide to Modern BPM Data IntegrationEric D. Schabell
 
Benefits of the Azure cloud
Benefits of the Azure cloudBenefits of the Azure cloud
Benefits of the Azure cloudJames Serra
 
HighAvailabilityForSharepoint
HighAvailabilityForSharepointHighAvailabilityForSharepoint
HighAvailabilityForSharepointJason Dover
 
informatica data replication (IDR)
informatica data replication (IDR)informatica data replication (IDR)
informatica data replication (IDR)MaxHung
 
The technology of the business data lake
The technology of the business data lakeThe technology of the business data lake
The technology of the business data lakeCapgemini
 
Which Change Data Capture Strategy is Right for You?
Which Change Data Capture Strategy is Right for You?Which Change Data Capture Strategy is Right for You?
Which Change Data Capture Strategy is Right for You?Precisely
 
Global Azure Bootcamp 2017 - Why I love S2D for MSSQL on Azure
Global Azure Bootcamp 2017 - Why I love S2D for MSSQL on AzureGlobal Azure Bootcamp 2017 - Why I love S2D for MSSQL on Azure
Global Azure Bootcamp 2017 - Why I love S2D for MSSQL on AzureKarim Vaes
 
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...Data Virtualization Journey: How to Grow from Single Project and to Enterpris...
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...Denodo
 
Introduction to Microsoft Azure
Introduction to Microsoft AzureIntroduction to Microsoft Azure
Introduction to Microsoft AzureGuy Barrette
 
Introducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseIntroducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseJames Serra
 

Similar to Big Data Expo 2015 - Vision Solutions Sharind Database Information (20)

Attunity Efficient ODR For Sql Server Using Attunity CDC Suite For SSIS Slide...
Attunity Efficient ODR For Sql Server Using Attunity CDC Suite For SSIS Slide...Attunity Efficient ODR For Sql Server Using Attunity CDC Suite For SSIS Slide...
Attunity Efficient ODR For Sql Server Using Attunity CDC Suite For SSIS Slide...
 
Sql Server 2012 Datasheet
Sql Server 2012 DatasheetSql Server 2012 Datasheet
Sql Server 2012 Datasheet
 
Office 365 introduction
Office 365 introductionOffice 365 introduction
Office 365 introduction
 
Azure SQL DB Managed Instances Built to easily modernize application data layer
Azure SQL DB Managed Instances Built to easily modernize application data layerAzure SQL DB Managed Instances Built to easily modernize application data layer
Azure SQL DB Managed Instances Built to easily modernize application data layer
 
Microsoft Cloud Database & Cloud BI
Microsoft Cloud Database & Cloud BIMicrosoft Cloud Database & Cloud BI
Microsoft Cloud Database & Cloud BI
 
Data Migration and Data-Tier Applications with SQL Azure
Data Migration and Data-Tier Applications with SQL AzureData Migration and Data-Tier Applications with SQL Azure
Data Migration and Data-Tier Applications with SQL Azure
 
A Guide to Modern BPM Data Integration
A Guide to Modern BPM Data IntegrationA Guide to Modern BPM Data Integration
A Guide to Modern BPM Data Integration
 
SOA Summit 2014
SOA Summit 2014SOA Summit 2014
SOA Summit 2014
 
SQL Azure
SQL AzureSQL Azure
SQL Azure
 
Benefits of the Azure cloud
Benefits of the Azure cloudBenefits of the Azure cloud
Benefits of the Azure cloud
 
HighAvailabilityForSharepoint
HighAvailabilityForSharepointHighAvailabilityForSharepoint
HighAvailabilityForSharepoint
 
informatica data replication (IDR)
informatica data replication (IDR)informatica data replication (IDR)
informatica data replication (IDR)
 
The technology of the business data lake
The technology of the business data lakeThe technology of the business data lake
The technology of the business data lake
 
Final project cafe coffe
Final project cafe coffeFinal project cafe coffe
Final project cafe coffe
 
Which Change Data Capture Strategy is Right for You?
Which Change Data Capture Strategy is Right for You?Which Change Data Capture Strategy is Right for You?
Which Change Data Capture Strategy is Right for You?
 
Global Azure Bootcamp 2017 - Why I love S2D for MSSQL on Azure
Global Azure Bootcamp 2017 - Why I love S2D for MSSQL on AzureGlobal Azure Bootcamp 2017 - Why I love S2D for MSSQL on Azure
Global Azure Bootcamp 2017 - Why I love S2D for MSSQL on Azure
 
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...Data Virtualization Journey: How to Grow from Single Project and to Enterpris...
Data Virtualization Journey: How to Grow from Single Project and to Enterpris...
 
Introduction to Microsoft Azure
Introduction to Microsoft AzureIntroduction to Microsoft Azure
Introduction to Microsoft Azure
 
Introducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseIntroducing Azure SQL Data Warehouse
Introducing Azure SQL Data Warehouse
 
DWBASIC.ppt
DWBASIC.pptDWBASIC.ppt
DWBASIC.ppt
 

More from BigDataExpo

Centric - Jaap huisprijzen, GTST, The Bold, IKEA en IENS. Zomaar wat toepassi...
Centric - Jaap huisprijzen, GTST, The Bold, IKEA en IENS. Zomaar wat toepassi...Centric - Jaap huisprijzen, GTST, The Bold, IKEA en IENS. Zomaar wat toepassi...
Centric - Jaap huisprijzen, GTST, The Bold, IKEA en IENS. Zomaar wat toepassi...BigDataExpo
 
Google Cloud - Google's vision on AI
Google Cloud - Google's vision on AIGoogle Cloud - Google's vision on AI
Google Cloud - Google's vision on AIBigDataExpo
 
Pacmed - Machine Learning in health care: opportunities and challanges in pra...
Pacmed - Machine Learning in health care: opportunities and challanges in pra...Pacmed - Machine Learning in health care: opportunities and challanges in pra...
Pacmed - Machine Learning in health care: opportunities and challanges in pra...BigDataExpo
 
PGGM - The Future Explore
PGGM - The Future ExplorePGGM - The Future Explore
PGGM - The Future ExploreBigDataExpo
 
Universiteit Utrecht & gghdc - Wat zijn de gezondheidseffecten van omgeving e...
Universiteit Utrecht & gghdc - Wat zijn de gezondheidseffecten van omgeving e...Universiteit Utrecht & gghdc - Wat zijn de gezondheidseffecten van omgeving e...
Universiteit Utrecht & gghdc - Wat zijn de gezondheidseffecten van omgeving e...BigDataExpo
 
Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...
Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...
Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...BigDataExpo
 
OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...
OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...
OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...BigDataExpo
 
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AI
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AIDynniq & GoDataDriven - Shaping the future of traffic with IoT and AI
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AIBigDataExpo
 
Teleperformance - Smart personalized service door het gebruik van Data Science
Teleperformance - Smart personalized service door het gebruik van Data Science Teleperformance - Smart personalized service door het gebruik van Data Science
Teleperformance - Smart personalized service door het gebruik van Data Science BigDataExpo
 
FunXtion - Interactive Digital Fitness with Data Analytics
FunXtion - Interactive Digital Fitness with Data AnalyticsFunXtion - Interactive Digital Fitness with Data Analytics
FunXtion - Interactive Digital Fitness with Data AnalyticsBigDataExpo
 
fashionTrade - Vroeger noemde we dat Big Data
fashionTrade - Vroeger noemde we dat Big DatafashionTrade - Vroeger noemde we dat Big Data
fashionTrade - Vroeger noemde we dat Big DataBigDataExpo
 
BigData Republic - Industrializing data science: a view from the trenches
BigData Republic - Industrializing data science: a view from the trenchesBigData Republic - Industrializing data science: a view from the trenches
BigData Republic - Industrializing data science: a view from the trenchesBigDataExpo
 
Bicos - Hear how a top sportswear company produced cutting-edge data infrastr...
Bicos - Hear how a top sportswear company produced cutting-edge data infrastr...Bicos - Hear how a top sportswear company produced cutting-edge data infrastr...
Bicos - Hear how a top sportswear company produced cutting-edge data infrastr...BigDataExpo
 
Endrse - Next level online samenwerkingen tussen personalities en merken met ...
Endrse - Next level online samenwerkingen tussen personalities en merken met ...Endrse - Next level online samenwerkingen tussen personalities en merken met ...
Endrse - Next level online samenwerkingen tussen personalities en merken met ...BigDataExpo
 
Bovag - Refine-IT - Proces optimalisatie in de automotive sector
Bovag - Refine-IT - Proces optimalisatie in de automotive sectorBovag - Refine-IT - Proces optimalisatie in de automotive sector
Bovag - Refine-IT - Proces optimalisatie in de automotive sectorBigDataExpo
 
Schiphol - Optimale doorstroom van passagiers op Schiphol dankzij slimme data...
Schiphol - Optimale doorstroom van passagiers op Schiphol dankzij slimme data...Schiphol - Optimale doorstroom van passagiers op Schiphol dankzij slimme data...
Schiphol - Optimale doorstroom van passagiers op Schiphol dankzij slimme data...BigDataExpo
 
Veco - Big Data in de Supply Chain: Hoe Process Mining kan helpen kosten te r...
Veco - Big Data in de Supply Chain: Hoe Process Mining kan helpen kosten te r...Veco - Big Data in de Supply Chain: Hoe Process Mining kan helpen kosten te r...
Veco - Big Data in de Supply Chain: Hoe Process Mining kan helpen kosten te r...BigDataExpo
 
Rabobank - There is something about Data
Rabobank - There is something about DataRabobank - There is something about Data
Rabobank - There is something about DataBigDataExpo
 
VU Amsterdam - Big data en datagedreven waardecreatie: valt er nog iets te ki...
VU Amsterdam - Big data en datagedreven waardecreatie: valt er nog iets te ki...VU Amsterdam - Big data en datagedreven waardecreatie: valt er nog iets te ki...
VU Amsterdam - Big data en datagedreven waardecreatie: valt er nog iets te ki...BigDataExpo
 
Booking.com - Data science and experimentation at Booking.com: a data-driven ...
Booking.com - Data science and experimentation at Booking.com: a data-driven ...Booking.com - Data science and experimentation at Booking.com: a data-driven ...
Booking.com - Data science and experimentation at Booking.com: a data-driven ...BigDataExpo
 

More from BigDataExpo (20)

Centric - Jaap huisprijzen, GTST, The Bold, IKEA en IENS. Zomaar wat toepassi...
Centric - Jaap huisprijzen, GTST, The Bold, IKEA en IENS. Zomaar wat toepassi...Centric - Jaap huisprijzen, GTST, The Bold, IKEA en IENS. Zomaar wat toepassi...
Centric - Jaap huisprijzen, GTST, The Bold, IKEA en IENS. Zomaar wat toepassi...
 
Google Cloud - Google's vision on AI
Google Cloud - Google's vision on AIGoogle Cloud - Google's vision on AI
Google Cloud - Google's vision on AI
 
Pacmed - Machine Learning in health care: opportunities and challanges in pra...
Pacmed - Machine Learning in health care: opportunities and challanges in pra...Pacmed - Machine Learning in health care: opportunities and challanges in pra...
Pacmed - Machine Learning in health care: opportunities and challanges in pra...
 
PGGM - The Future Explore
PGGM - The Future ExplorePGGM - The Future Explore
PGGM - The Future Explore
 
Universiteit Utrecht & gghdc - Wat zijn de gezondheidseffecten van omgeving e...
Universiteit Utrecht & gghdc - Wat zijn de gezondheidseffecten van omgeving e...Universiteit Utrecht & gghdc - Wat zijn de gezondheidseffecten van omgeving e...
Universiteit Utrecht & gghdc - Wat zijn de gezondheidseffecten van omgeving e...
 
Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...
Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...
Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...
 
OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...
OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...
OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...
 
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AI
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AIDynniq & GoDataDriven - Shaping the future of traffic with IoT and AI
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AI
 
Teleperformance - Smart personalized service door het gebruik van Data Science
Teleperformance - Smart personalized service door het gebruik van Data Science Teleperformance - Smart personalized service door het gebruik van Data Science
Teleperformance - Smart personalized service door het gebruik van Data Science
 
FunXtion - Interactive Digital Fitness with Data Analytics
FunXtion - Interactive Digital Fitness with Data AnalyticsFunXtion - Interactive Digital Fitness with Data Analytics
FunXtion - Interactive Digital Fitness with Data Analytics
 
fashionTrade - Vroeger noemde we dat Big Data
fashionTrade - Vroeger noemde we dat Big DatafashionTrade - Vroeger noemde we dat Big Data
fashionTrade - Vroeger noemde we dat Big Data
 
BigData Republic - Industrializing data science: a view from the trenches
BigData Republic - Industrializing data science: a view from the trenchesBigData Republic - Industrializing data science: a view from the trenches
BigData Republic - Industrializing data science: a view from the trenches
 
Bicos - Hear how a top sportswear company produced cutting-edge data infrastr...
Bicos - Hear how a top sportswear company produced cutting-edge data infrastr...Bicos - Hear how a top sportswear company produced cutting-edge data infrastr...
Bicos - Hear how a top sportswear company produced cutting-edge data infrastr...
 
Endrse - Next level online samenwerkingen tussen personalities en merken met ...
Endrse - Next level online samenwerkingen tussen personalities en merken met ...Endrse - Next level online samenwerkingen tussen personalities en merken met ...
Endrse - Next level online samenwerkingen tussen personalities en merken met ...
 
Bovag - Refine-IT - Proces optimalisatie in de automotive sector
Bovag - Refine-IT - Proces optimalisatie in de automotive sectorBovag - Refine-IT - Proces optimalisatie in de automotive sector
Bovag - Refine-IT - Proces optimalisatie in de automotive sector
 
Schiphol - Optimale doorstroom van passagiers op Schiphol dankzij slimme data...
Schiphol - Optimale doorstroom van passagiers op Schiphol dankzij slimme data...Schiphol - Optimale doorstroom van passagiers op Schiphol dankzij slimme data...
Schiphol - Optimale doorstroom van passagiers op Schiphol dankzij slimme data...
 
Veco - Big Data in de Supply Chain: Hoe Process Mining kan helpen kosten te r...
Veco - Big Data in de Supply Chain: Hoe Process Mining kan helpen kosten te r...Veco - Big Data in de Supply Chain: Hoe Process Mining kan helpen kosten te r...
Veco - Big Data in de Supply Chain: Hoe Process Mining kan helpen kosten te r...
 
Rabobank - There is something about Data
Rabobank - There is something about DataRabobank - There is something about Data
Rabobank - There is something about Data
 
VU Amsterdam - Big data en datagedreven waardecreatie: valt er nog iets te ki...
VU Amsterdam - Big data en datagedreven waardecreatie: valt er nog iets te ki...VU Amsterdam - Big data en datagedreven waardecreatie: valt er nog iets te ki...
VU Amsterdam - Big data en datagedreven waardecreatie: valt er nog iets te ki...
 
Booking.com - Data science and experimentation at Booking.com: a data-driven ...
Booking.com - Data science and experimentation at Booking.com: a data-driven ...Booking.com - Data science and experimentation at Booking.com: a data-driven ...
Booking.com - Data science and experimentation at Booking.com: a data-driven ...
 

Recently uploaded

BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceBDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceDelhi Call girls
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxolyaivanovalion
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...amitlee9823
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxMohammedJunaid861692
 
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfAccredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfadriantubila
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusTimothy Spann
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...shambhavirathore45
 
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...amitlee9823
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Valters Lauzums
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Delhi Call girls
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxJohnnyPlasten
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionfulawalesam
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Delhi Call girls
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...shivangimorya083
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxolyaivanovalion
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxolyaivanovalion
 

Recently uploaded (20)

BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceBDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptx
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
 
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfAccredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...
 
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFx
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFx
 

Big Data Expo 2015 - Vision Solutions Sharind Database Information

  • 1. visionsolutions.com 1 Sharing Database Information When where and how you need it Andy Ebbs Solution Architect UK & Nordics andy.ebbs@visionsolutions.com +44 (0) 1905 728023
  • 2. Automates enterprise data sharing Replaces manual processes Simplifies data integration Double-Take Share Easy Data Sharing Between Databases in Real Time visionsolutions.com 2
  • 3. 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! 3visionsolutions.com How can Double-Take Share transform the way you do business?
  • 4. 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 4 * August 2011 Vision Solutions survey
  • 5. Broad Spectrum of Supported Platforms visionsolutions.com 5
  • 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 6
  • 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 7
  • 8. 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 visionsolutions.com 8
  • 9. Share exactly WHAT you need Filters determine what data gets moved – Select specific column and table – Select specific rows and table visionsolutions.com 9
  • 10. 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 10
  • 11. Flexible Architecture Flexible topologies to meet business needs One Way Two Way Cascade Bi-Directional Distribute Consolidate visionsolutions.com 11
  • 12. 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.
  • 13. Double-Take Share Use Case Centralized Reporting and BI Casino 1 IBM System i DB2 Casino 2 IBM System i DB2 Casino 3 IBM System i DB2 Casino 4 IBM System i DB2 Casino 5 IBM System i DB2 Casino 6 IBM System i DB2 Single Data Warehouse Database Windows Cluster MS SQL Server Customer loyalty Amounts paid Amounts won Time at the table Time at the machine Business intelligence Real time CDC replication with transformation visionsolutions.com 13
  • 14. IBM System i DB2 Lawson M3 (Movex) MS SQL Server 2005 Query reports Data Warehouse load Real time CDC replication with transformation Reduce CPU and I/O overhead on production system improve user response times Many cost effective tools available on MS SQL server platform for query reports Data is already partially ‘scrubbed’ and available for loading data warehouses and data marts without performance impact on production system Production System Offload Query System Double-Take Share Use Case Offload Production Processing visionsolutions.com 14
  • 15. 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 15 * August 2011 Vision Solutions survey
  • 16. DR
  • 17. How does replication work? Application layer Operating system Hardware layer User application Double-Take driver Application layer Operating system Hardware layer Double-Take driver Double-Take service Double-Take service An initial mirror copies all of the data to the target HDD HDD
  • 18. How does replication work? Application layer Operating system Hardware layer HDD User application Double-Take driver Application layer Operating system Hardware layer HDD Double-Take driver Double-Take service Double-Take service  The Double-Take driver sees bytes of I/O en route to the file system and copies them into memory As confirmation of the write travels back to the application, Double-Take then sends the bytes to the target
  • 19. How does replication work? Application layer Operating system Hardware layer HDD User application Double-Take driver Application layer Operating system Hardware layer HDD Double-Take driver Double-Take service Double-Take service During high-latency periods, Double-Take will buffer changes to memory Disk Queue If configurable memory buffers are exceeded, Double-Take will buffer to disk for additional latency tolerance
  • 20. How does replication work? Application layer Operating system Hardware layer HDD User application Double-Take driver Application layer Operating system Hardware layer HDD Double-Take driver Double-Take service Double-Take service Once latency improves, replication resumes transmission, while always preserving write-order integrity Disk Queue
  • 21. Full Server Replication Production Server Basic Windows file server DR_01BES_01 Staging Directory BES_01 Staged information overwrites system configuration (non- hardware) Reboots and becomes identical to source server
  • 22. Full Server to ESX or Hyper-V (VRA) Target VM is automatically provisioned Real-time Replication No OS/Application licensing on target Supports Windows 2003-2012R2 Hyper-V or ESX Replication Monitor source_d.vmdk Source1_Replica (offline) Source 1 Drive D ESX / Hyper-V source2_c.vmdk Source2_Replica (offline) Source 2 Drive c VRA Helper Drive C source_c.vmdk source2_c.vmdk Source2_Replica - Online