3. NCR CORPORATION
A Data Warehousing Solutions ProviderA Data Warehousing Solutions Provider
4. NCR Overview
• Founded in 1884 by John Patterson
• Began as a cash register company, entered the computer
business in 1960
• Bought in 1990 by AT&T, later divested
• Purchased Teradata Corporation in the late eighties
5. NCR Overview
• Based on Teradata and products based on the Intel chip, began
the platform known as the WorldMark series
• Subsequently, Data Warehousing is becoming the dominant
business in NCR’s product line
• Now pursuing an across-the-board approach to customers--
large and small
6. How is NCR different?
• Utilizes Parallel Processing and ER logical modeling
– the only fully parallel solution on the market featuring parallel
loading, processing, and archiving
• Strategic approach based on three factors:
– Performance
– Scalability
– Ease of Setup and Support
7. Parallel Processing- some lessons learned
• Divide the rows evenly
• Optimize the SQL requests
• Provide a scalable interconnect
• Load and restore data
• Provide for easy system administration
8. Scalable Data Warehouse Framework
• When building a data warehouse, NCR’s approach involves
areas throughout the organization, IT resources, the
technologies, the processes, and the businesses
• SDW accommodates independent data marts or directly
building a DW with dependent data marts
• Recommends beginning with a small scalable data warehouse,
focusing on one or two area.
9. Scalable Data Warehouse Framework
• There are four dimensions of the scalable system
– The ability to input and extract data with consistent response
times
– The number of users or queries that can be run simultaneously
– The environmental complexity of the data model and the queries
being run against the model
– The degree of support needed to maintain scalability
10. NCR’s Logical Data Model Philosophy
• NCR believes star schema’s limit business intelligence
• During modeling process, prefers Third Normal Form
• Denormalizing helps the DBMS, but hurts the quality of
information
• Third normal form avoids data integrity compromises
11. NCR’s Logical Data Model
• The four hardest things for a database to do:
– Join Tables
– Aggregate Data
– Sort Data
– Scan large amounts of data
12. WorldMark Servers
• Four generations of large and medium scale servers
• Optimized for Teradata architecture and Bynet technology
• WorldMark 4800 and 5200 operate on Intel chip technology
• 4800 is scalable, and designed to run on applications from 50 GB to 1
TB
• Can be upgraded to the WorldMark 5200
• Designed for large scale data warehousing, 400GB to 100TB
13. Teradata Relational Database Management System
(RDBMS)
• Most powerful decision support parallel relational database.
• Realistically support data warehouses in excess 500 gigabytes of
user data.
WHAT MAKE NCR TERADATA SO SPECIAL?
14. Teradata runs on Symmetric Multiprocessing (SMP)
hardware platform
Each access module process
(AMP) as one processor.
Each AMP executes the query
functions and data
management.
Each AMP controls and
maintains a portion of database
stored on the disks, TASKS
CAN PERFORM IN PARALLEL
as assigned by VNET.
Each AMP acts as a “unit of
parallelism”.
16. Teradata runs on Massively Parallel Processing (MPP) hardware
platform
Interconnect
that coordinates
and synchronizes
the activities of a
large number
of SMP nodes
17. Scalability - the cornerstone of Teradata RDBMS
BYNET design can linearly scale to support up to 4096 SMP nodes on a single
system.
Database Capacity:
• 128 Terabytes of data
• 1, 024 SMP nodes
• 32, 768 physical processors
18. NCR Scalable Data Warehouse
• NCR handles the world’s biggest data warehouse for
decision support without compromising the data integrity
by de-normalizing the tables.
• NCR is the only vendor in the market utilizing parallel
processing with ER logical modeling.
20. NCR’s Strategies
• Customer Privacy
– Claims to be the first solutions firm to place customer privacy
at the center of its strategy
– New database products from NCR will enable marketers to
add a customer's personal preference on how their data
should be used
• Neighborhood Retailing
• Customer Management Solutions
• Customer Relationship Management
21. How Do Customers Benefit From NCR?
• Retailers analyze their profitability on a product, customer, and store-level basis
• Banks use NCR's data warehousing to separate the profitable customers from
the freeloaders
• Supermarkets are working on an automated pricing system for every item in the
store
• In the communications industry, NCR provides much needed information
management and the ability to bring new products to market quickly.
22. NCR Customer’s Complaints
• Databases from Oracle, IBM and Microsoft are
quickly adding all the features that perform
sophisticated requests on multiterabyte data-
warehouses
• Changing ownership and leadership
• NCR’s size
23. Competition and Problems
• Competition:
Andersen Consulting, EDS, IBM, and Unisys
• Still trails Oracle, Compaq Computer, IBM and Hewlett-Packard in
data warehouse sales
• Core business in computer systems is declining by almost 30% a
year and data warehouse sales haven’t picked up the slack
• NCR relies on international markets for 60% of its revenue
• Stock price has dropped nearly 50% over the last four months
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