Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Next Generation Data warehouses
1. www.yash.com
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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.
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
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.
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
