Agile data architecture
This presentation is the property of its rightful owner.
Sponsored Links
1 / 23

AGILE DATA ARCHITECTURE PowerPoint PPT Presentation


  • 97 Views
  • Uploaded on
  • Presentation posted in: General

AGILE DATA ARCHITECTURE . Agile Data Architecture. Fit-for-purpose solution Enables self-service data management . Software Virtual Appliance: Flexibility, Simplicity. Deploys in minutes For any team in any location Installs on private, public clouds. Any HW. Any Storage. Cloud Ready.

Download Presentation

AGILE DATA ARCHITECTURE

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Agile data architecture

AGILE DATA ARCHITECTURE


Agile data architecture1

Agile Data Architecture

  • Fit-for-purpose solution

  • Enables self-service data management


Software virtual appliance flexibility simplicity

Software Virtual Appliance: Flexibility, Simplicity

  • Deploys in minutes

  • For any team in any location

  • Installs on private, public clouds

Any HW

Any Storage

Cloud Ready

Project team A

DR Site

Primary Data Center

Remote DC

Project team B

Remote DC

  • 3 Continents, 22 Application Teams


Data virtualization performance consolidation

Data Virtualization: Performance, Consolidation


90 common repeated data

BLOCK MAPPING

COMPRESSION

FILTERING

90%+ Common, Repeated Data

Oracle EBS

Production

Dev: R12 Data Mapping

QA: R12 Data Mapping

Dev: Customization Testing

QA: Customization Testing

1 TB

1 TB

1 TB

1 TB

1 TB

  • Unique block mapping

  • Block aware filtering

  • Efficient compression

.5 TB

90% reduction in EBS storage costs


Built for vdb performance 20 vdbs on average

CACHING

Built for VDB Performance: 20 VDBs on Average

5 sources and 35 virtual databases consolidated per Delphix server

  • Global “hot” read cache

  • Global write log

  • SSD flash cache

  • On-the-fly compression, de-compression


Data orchestration right data time place

Data Orchestration: Right Data, Time, Place


Auto sync for 10 heterogeneous sources

SYNC

Auto Sync for 10+ Heterogeneous Sources

on Windows

Hitachi storage

Cluster

on Windows

IBM storage

RAC

on Solaris

NetAppstorage

on RHEL

NetAppstorage

on HP-UX

EMC storage

EXADATA

Appliance

Any HW

Any Storage

on AIX

EMC storage

on AIX

NetAppstorage

Cloud Ready

Remote

Remote

10+ sources synchronize with one Delphix virtual appliance


Near real time log shipping

SYNC

Near Real Time Log Shipping

Local

12:36:38

12:36:41

12:36:38

  • Maintain sync within seconds of last transactions

  • Ensure access to fresh data

  • Enable use of VDBs for HA

Remote

12:36:38

Intra-daily refreshes of virtual copies tied to trading systems


Sync reduced load

SYNC

Sync (Reduced Load)

1x Process I/O

1x Transfer I/O

1x Read I/O

1x Write I/O

1xRead I/O

1x Dump I/O

5% Process I/O

5% Network Transfer Load

5% Read I/O

5% Write I/O

90% load reduction with automated DB aware, change data only sync


50 1 timeflow store 50 days in the space of 1

RECORD

50:1 TimeFlow (Store 50 Days in the Space of 1)

TimeFlow

1 month retention, logs for 1 week

2 week retention,

logs for 1 week

90 day full retentionof logs and snapshots

  • Store 50 days in the space of 1

  • Superior SLAs (RPO and RTO)

  • Reduce impact on systems, networks

Quarter ending snapshots retained for 1 year

Instant recovery protects against $3000 per minute ERP downtime costs


Refresh rollback

PLAY

Refresh, Rollback

on HP-UX

EMC storage

Jul 25, 6:42:18

Rollback / Recover

Aug 1, 3:36:51

Provision

Current Time

Refresh

  • On-demand access to source data

  • Superior data management SLA’s

  • Higher application quality

Weekly scheduled refreshes, daily rollback for patch and upgrade test environments


Data integration

PLAY

Data Integration

Integrated Rollback

Integrated Refresh

Aug 1, 11:50:33

Aug 5, 7:28:29

Aug 6, 3:17:51

Integrated Provisioning

  • Decouple reliance on multiple production teams

  • Synchronize data delivery across sources

  • Maximize test time and improve data quality

6 sources integrated for MDM initiative (50% acceleration)


Promote demote v2p

MOVE

Promote, Demote, V2P

QA

Dev

Test

V2P

V2P

Prod

UAT

  • Create VDBs from VDBs

  • V2P to restore data to physical

  • V2P to automate UAT refresh


Consolidate load balance

MOVE

Consolidate, Load Balance

X

X

Test 1

Test 2

Test 3

30% consolidation (license reduction)of Oracle workloads


High availability dr backup for delphix

REPLICATE

High Availability, DR, Backup for Delphix

X

Local or Remote

Delphix as primary backup and DR solution (20+ apps)


Active active multicast

REPLICATE

Active-Active Multicast

Production Source

  • Scale out to large numbers of VDBs

  • Enable VDB development at remote sites

DR Site

100+ VDBs for risk application


Self service enterprise management

Self Service Enterprise Management

  • 1500 developers using VDBs for ERP projects


Next steps

Next Steps

  • Identify candidate applications and projects for data virtualization

  • Complete ROI workshop with Delphix Business Solutions team

    • For initial target applications and full environment

    • Access to project team and plan needed for project impact analysis

  • Delphix trial options

    • Cloud based

      • Single Delphix virtual appliance scope

    • Standard onsite POC

      • Multiple Delphix virtual appliance scope

    • Guaranteed deployment

      • Production grade deployment, 90 day guarantee

    • Application Assessment Service

      • Production grade deployment, services led adoption

  • POTENTIAL OPPORTUNITIES

  • ERP rollouts or projects

  • Agile development

  • Application DB upgrades

  • Platform / DC migrations

  • Data warehousing / MDM

  • Exadata rollout

  • Private cloud build-out

  • Secure test data


Thank you

Thank You


Performance optimization measures

Performance Optimization Measures

w.o. Delphix

w. Delphix

I/O processing

time

Provisioning and refreshes – actual labor

Provisioning and refreshes - scheduling and process overhead

Virtualization overhead offset by:

Overall labor and process gains

Global “Hot” Read Cache

On-the-fly Compression, De-compression


Connectivity protocols

Connectivity Protocols

Source Server

Target Servers

SSH

JDBC

SSH

JDBC

NFS

SSH

HTTP

FC, iSCSI

Compressed Data


System requirements

System Requirements

Delphix Server

  • Virtualization Platform: VMware (ESX Server 3.x, vSphere 4.x, vSphere 5.x)

  • VM Guest Container Profile: Solaris 10 64-bit

  • Virtual CPUs: 8 vCPUs

  • Memory: 16 GB (minimum), add more if indicated

    Source and Target Servers

  • Oracle 9.2.0.8, Oracle 10g R2, Oracle 11g R1, or Oracle 11g R2

  • Solaris, RedHat, OEL, SUSE, AIX, HPUX


  • Login