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Next Generation
Data Warehouses
www.yash.com
About the Presenter
• Gautam Gupta – Practice Manager, BI
and Data Warehousing at YASH
Technologies
• Over 20 years of experience in the IT
industry, including extensive consulting
experience in US and Europe.
• Currently heads the BI and Data
Warehousing competency at YASH
since 2005, and has successfully
delivered and managed multiple BI and
Data Warehousing projects across the
world.
www.yash.com
Topics
www.yash.com
DW – What is it
www.yash.com
Data Warehouse Platforms
Note: A data warehouse platform manages a data warehouse, but the two are separate.
www.yash.com
Evolving State of Data
www.yash.com
www.yash.com
Evolving State of Data
www.yash.com
Why care about Data Warehouse Platforms ?
Business face
changes rapidly
Support changing
business
requirements
DW mature through
multiple lifecycle
stages
www.yash.com
Buzz About Big Data
• Global Internet population grew by 7% from
2011 to 2012 and now represents about 3 billion
people approx.
• Every Minute
– 571 new websites
– 217 New Users
– 48 Hours of You Tube footage uploaded
– Two million Google search queries
– 648 478 Facebook users sharing content
www.yash.com
Challenges in current Data Warehouse
Platforms
• Support for Advanced Analytics
• Real-time or On-demand workloads
• Support for Large Data Volume
• Support of Large number of Concurrent Users
• Scaling Cost
• Inadequate support for web-services and SOA
• Inadequate support for in-memory processing
• SMP Vs MPP
• Speed
• Support for Mashed Data
• Availability
• 64 Bit
• Data Vertulization
www.yash.com
New Analytics Needs
• Acquisition of environment data
• Correlation of subjective data
• Visualization of complex data
• Analysis of Event Stream data
• Need for pattern discovery
• Need for predictive modeling and scoring
www.yash.com
Demands on New Architecture
• Fast Analytics
• Flexible ad-hoc transformations
• Storage of granular AND semi-transformed data
• Storage of temporal data
• Interpretation of subjective data
• Ability to add new data for new analysis with no disruption
• Cost-effective scaling
• Statistical analysis / Predictive modeling
• Automated meta-data extraction / learning
• Ability to analyze real-time event-streams
• Provide existing operational reporting, online ad-hoc queries, “state-of-the-business”
dashboards
www.yash.com
Candidate Architecture
www.yash.com
Candidate Architecture
www.yash.com
Candidate Architecture
* Intelligent Business Strategies
www.yash.com
Big Data Portfolio
www.yash.com
18
www.yash.com
Candidate Arch. - DWA
www.yash.com
Cloud Computing and Software-as-a-Service (Saas)
Here?
3-5 yrs?
www.yash.com
Workloads ready now for cloud computing: TOP 25
Analytics
• Data mining, text mining or
other analytics
• Data warehouses or data
marts
• Transactional databases
Business services
• Customer relationship
management
(CRM) or sales force
automation
• E-mail
• Enterprise resource planning
(ERP) applications
• Industry-specific applications
Collaboration
• Audio/video/Web
conferencing
• Unified communications
• VoIP infrastructure
Desktop and devices
Desktop
Service/help desk
Development and test
Development environment
Test environment
Infrastructure
Application servers
Application streaming
Business continuity/
disaster recovery
Data archiving
Data backup
Data center network capacity
Security
Servers
Storage
Training infrastructure
Wide area network (WAN)
capacity
Source: IBM Market Insights, Cloud Computing Research, July 2012.
www.yash.com
Workloads may be at different levels of readiness for cloud
www.yash.com
There is a spectrum of deployment options for
cloud computing
Private Public
Hybrid
IT capabilities are provided “as a
service,” over an intranet, within the
enterprise and behind the firewall
Internal and external service delivery
methods are integrated
IT activities / functions are
provided “as a service,” over
the Internet
Third-party
operated
Third-party hosted
and operated
Enterprise
data center
Enterprise
data center
Private cloud Hosted private
cloud
Managed
private cloud
Enterprise
Shared cloud
services
A
Enterprise
B
Public cloud
services
A
Users
B
www.yash.com
How Can We Bridge the Cloud & On Premise Worlds?
Home-grown
Applications
Packaged
Applications
www.yash.com
Summary: Key Benefits of Cloud
• Cloud enables the dynamic availability of IT
applications and infrastructure, regardless of
location.
– Enhanced service delivery reinforces efforts for
customer retention, faster time to market and
horizontal market expansion.
• Cloud computing promotes IT optimisation so
that IT resources are configured for maximum
cost-benefit.
– It supports massive scalability to meet periods of
demand while avoiding extended periods of under-
utilised IT capacity
www.yash.com
Recommendations
• Plan for the next generation data warehouse that is in your near future
• Recognize that next generation technology drivers are really business drivers
• Avoid assembling your own data warehouse platform
• Plan for big data
• Be open to low-cost DW platform options
• Don’t forget options outside the DW platform
• Expect analytics to be a priority for your next generation DW platform
• Note that some next generation options are a critical path to others
• Realize that your next generation DW platform may require multiple platforms
• Be open to alternative DBMSs
www.yash.com
Thank You!
mailto: gautamg@yash.com
website : www.yash.com
© YASH Technologies, 1996-2008. All rights reserved.
The information in this document is based on certain assumptions and as such is subject to change. No part of
this document may be reproduced, stored or transmitted in any form or by any means, electronic or
mechanical, for any purpose, without the express written permission of YASH Technologies. This document
makes reference to trademarks that may be owned by others. The use of such trademarks herein is not as
assertion of ownership of such trademarks by YASH and is not intended to represent or imply the existence of
an association between YASH and the lawful owners of such trademarks.
THINK

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Next Generation Data warehouses

  • 1. www.yash.com Click to edit Master title style • Click to edit Master text styles – Second level • Third level – Fourth level » Fifth level 1 Next Generation Data Warehouses
  • 2. www.yash.com About the Presenter • Gautam Gupta – Practice Manager, BI and Data Warehousing at YASH Technologies • Over 20 years of experience in the IT industry, including extensive consulting experience in US and Europe. • Currently heads the BI and Data Warehousing competency at YASH since 2005, and has successfully delivered and managed multiple BI and Data Warehousing projects across the world.
  • 5. www.yash.com Data Warehouse Platforms Note: A data warehouse platform manages a data warehouse, but the two are separate.
  • 9. www.yash.com Why care about Data Warehouse Platforms ? Business face changes rapidly Support changing business requirements DW mature through multiple lifecycle stages
  • 10. www.yash.com Buzz About Big Data • Global Internet population grew by 7% from 2011 to 2012 and now represents about 3 billion people approx. • Every Minute – 571 new websites – 217 New Users – 48 Hours of You Tube footage uploaded – Two million Google search queries – 648 478 Facebook users sharing content
  • 11. www.yash.com Challenges in current Data Warehouse Platforms • Support for Advanced Analytics • Real-time or On-demand workloads • Support for Large Data Volume • Support of Large number of Concurrent Users • Scaling Cost • Inadequate support for web-services and SOA • Inadequate support for in-memory processing • SMP Vs MPP • Speed • Support for Mashed Data • Availability • 64 Bit • Data Vertulization
  • 12. www.yash.com New Analytics Needs • Acquisition of environment data • Correlation of subjective data • Visualization of complex data • Analysis of Event Stream data • Need for pattern discovery • Need for predictive modeling and scoring
  • 13. www.yash.com Demands on New Architecture • Fast Analytics • Flexible ad-hoc transformations • Storage of granular AND semi-transformed data • Storage of temporal data • Interpretation of subjective data • Ability to add new data for new analysis with no disruption • Cost-effective scaling • Statistical analysis / Predictive modeling • Automated meta-data extraction / learning • Ability to analyze real-time event-streams • Provide existing operational reporting, online ad-hoc queries, “state-of-the-business” dashboards
  • 20. www.yash.com Cloud Computing and Software-as-a-Service (Saas) Here? 3-5 yrs?
  • 21. www.yash.com Workloads ready now for cloud computing: TOP 25 Analytics • Data mining, text mining or other analytics • Data warehouses or data marts • Transactional databases Business services • Customer relationship management (CRM) or sales force automation • E-mail • Enterprise resource planning (ERP) applications • Industry-specific applications Collaboration • Audio/video/Web conferencing • Unified communications • VoIP infrastructure Desktop and devices Desktop Service/help desk Development and test Development environment Test environment Infrastructure Application servers Application streaming Business continuity/ disaster recovery Data archiving Data backup Data center network capacity Security Servers Storage Training infrastructure Wide area network (WAN) capacity Source: IBM Market Insights, Cloud Computing Research, July 2012.
  • 22. www.yash.com Workloads may be at different levels of readiness for cloud
  • 23. www.yash.com There is a spectrum of deployment options for cloud computing Private Public Hybrid IT capabilities are provided “as a service,” over an intranet, within the enterprise and behind the firewall Internal and external service delivery methods are integrated IT activities / functions are provided “as a service,” over the Internet Third-party operated Third-party hosted and operated Enterprise data center Enterprise data center Private cloud Hosted private cloud Managed private cloud Enterprise Shared cloud services A Enterprise B Public cloud services A Users B
  • 24. www.yash.com How Can We Bridge the Cloud & On Premise Worlds? Home-grown Applications Packaged Applications
  • 25. www.yash.com Summary: Key Benefits of Cloud • Cloud enables the dynamic availability of IT applications and infrastructure, regardless of location. – Enhanced service delivery reinforces efforts for customer retention, faster time to market and horizontal market expansion. • Cloud computing promotes IT optimisation so that IT resources are configured for maximum cost-benefit. – It supports massive scalability to meet periods of demand while avoiding extended periods of under- utilised IT capacity
  • 26. www.yash.com Recommendations • Plan for the next generation data warehouse that is in your near future • Recognize that next generation technology drivers are really business drivers • Avoid assembling your own data warehouse platform • Plan for big data • Be open to low-cost DW platform options • Don’t forget options outside the DW platform • Expect analytics to be a priority for your next generation DW platform • Note that some next generation options are a critical path to others • Realize that your next generation DW platform may require multiple platforms • Be open to alternative DBMSs
  • 27. www.yash.com Thank You! mailto: gautamg@yash.com website : www.yash.com © YASH Technologies, 1996-2008. All rights reserved. The information in this document is based on certain assumptions and as such is subject to change. No part of this document may be reproduced, stored or transmitted in any form or by any means, electronic or mechanical, for any purpose, without the express written permission of YASH Technologies. This document makes reference to trademarks that may be owned by others. The use of such trademarks herein is not as assertion of ownership of such trademarks by YASH and is not intended to represent or imply the existence of an association between YASH and the lawful owners of such trademarks. THINK