1. TERADATA

2. ABOUT TERADATA
 Teradata Corporation is an American computer company that sells analytic data
platforms, applications and related services. Its products are meant to consolidate data
from different sources and make the data available for analysis.
 Formerly a division of NCR Corporation, Teradata was incorporated in 1979 and
separated from NCR in October 2007. Michael Koehler became president and CEO of
Teradata after its 2007 spin off from NCR.
 Teradata's Applications business is led by Darryl McDonald and the corporate
headquarters is located in Miamisburg, Ohio.

3. WHAT IS TERADATA
 Teradata is RDBMS initially created by the firm with the same founded in 1979, is the
part of NCR Corp which acquired the Teradata company on February 28th 1991.
 It is massively parallel processing system.
 The main point with Teradata DBMS is that it’s linearly and predictably scalable in all
dimensions of database system workload.
 Teradata is offered on Intel servers interconnected by the BYNET messaging fabric
 Teradata systems offered with either Engenio or EMC disk arrays for database storage.

4. CHOICE OF SEVERAL OS
 MICROSOFT WINDOWS and WINDOWS SERVER 2003 on 64 bit Intel server has been
pre-announced.
 Teradata Enterprise Data Warehouse are often accessed via ODBC or JDBC by
applications running on OS such as Microsoft Windows or editions of UNIX.
 The warehouse typically source data from OS’s via combinations of batch and trickle
loads.
 The largest and most prominent customer of this RDBMS is WAL-MART, which runs its
central inventory and other financial systems on Teradata.
 WAL-MART’s is Teradata Data Warehouse is generally regarded by the DBS industry as
being the largest Data Warehouse in the world.
 Other Teradata customers include companies like AT&T, Dell, Continental Airlines,
National Australia Bank, FedEx, Vodafone, eBay many more.
 Teradata’s main competitors are other high-end solutions such as ORACLE and IBM’s
DB’s

5. WHY TERADATA?
 Teradata is the world’s leading Enterprise Data Warehousing solutions provider. Today,
more than 60% of the world’s most admired global companies use Teradata technology:
 90% of the Top Global Telecommunications Companies.
 50% of the Top Global Retailers.
 70% of the Top Global Airlines.
 60% of the Top Global Transportation Logistics Companies.
 40% of the Top Global Commercial and Saving Banks.
 Teradata offers a wide variety of solutions for Customers Relationship Management,
Supply and Demand Chain Management, Financial Services, Risk Management, and
much more.
 Teradata is clearly the best choice

6. TERADATA ARCHITECTURE
 Teradata acts as a single data store, with multiple client applications making inquiries
against it concurrently.
 Instead of replicating a database for different purpose, with Teradata you store the data
once and use it for all clients.
 It provides the same connectivity for an entry-level system as it does for a massive
enterprise data warehouse.
 A Teradata system contains one or more nodes
 A node is a term for a processing unit under the control of a single operating system.
 The node is where the processing occurs for the Teradata Database there are 2 types of
Teradata systems

7. Contd…
 Symmetric multiprocessing (SMP): An SMP Teradata
system has a single node that contains multiple CPU’s
sharing a memory pool.
 Massively parallel processing (MPP): Multiple SMP nodes
working together comprise a larger, MPP implementation
of Teradata. The nodes are connected using BYNET, which
allows multiple virtual processors on multiple nodes to
communicate with each other.
 Teradata is the future of Data Mining. In future everyone
we start using Teradata Database. Now it is costly, works
are going on to reduce its cost. So it will reach to small
business also.

8. TECHNOLOGY AND PRODUCTS
 Its technology consists of hardware, software, database, and consulting.
 The system moves data to a data warehouse where it can be recalled and analyzed. The
systems can be used as back-up for one another during downtime, and in normal
operation balance the workload across themselves.
 Marketing research company Gartner Group placed Teradata in the "leaders quadrant"
in its 2009, 2010, and 2012reports, "Magic Quadrant for Data Warehouse Database
Management Systems".
 Teradata is the most popular data warehouse DBMS in the DB-Engines database
ranking.
 In 2010, Teradata was listed in Fortune’s annual list of Most Admired Companies.

9. ACTIVE ENTERPRISE DATA
WAREHOUSE
 Teradata Active Enterprise Data Warehouse is the platform that runs the Teradata
Database, with added data management tools and data mining software.
 The data warehouse differentiates between “hot and cold” data – meaning that the
warehouse puts data that is not often used in a slower storage section.
 Teradata Database 13.10 was announced in 2010 as the company’s database software
for storing and processing data.
 Teradata Database 14 was sold as the upgrade to 13.10 in 2011 and runs multiple data
warehouse workloads at the same time. It includes column-store analyses.
 Teradata Integrated Analytics is a set of tools for data analysis that resides inside the
data warehouse.

10. BACKUP, ARCHIVE, AND RESTORE
 BAR is Teradata’s backup and recovery system.
 The Teradata Disaster Recovery Solution is automation and tools for data recovery and
archiving. Customer data can be stored in an offsite recovery center.

11. PARTNERS
 Capgemini
 Cloudera
 IBM
 DIVYESH
 Informatica: Dual Load solution
 Intel
 Kalido: Teradata and Kalido Accelerate product
 MapR
 Microsoft
 MicroStrategy: joint business intelligence products
 NetApp
 Oracle
 SAP: Netweaver datawarehouse
 SAS
 Symantec
 Tableau Software: interactive data visualization products focused on business intelligence
 Attunity
 WhereScape: data warehouse development and management tools

12. TERADATA AND BIG DATA
 Teradata began to associate itself with the term, “Big Data” in 2010. CTO, Stephen Brobst,
attributes the rise of big data to “new media sources, such as social media.”
 The increase in semi-structured and unstructured data gathered from online interactions
prompted Teradata to form the “Petabyte club” in 2011 for its heaviest big data users.
 The rise of big data resulted in many traditional data warehousing companies updating
their products and technology.
 For Teradata, big data prompted the acquisition of Aster Data Systems in 2011 for the
company’s MapReduce capabilities and ability to store and analyze semi-structured data.
 Public interest in big data resulted in a 13% increase in Teradata’s global sales.

13. Competition
 Teradata's main competitors are similar products from vendors such as Oracle, IBM,
Microsoft and Sybase IQ.
 Also,competitors include data warehouse appliance vendors such as Netezza (acquired
in November 2010 by IBM),DATAllegro (acquired in August 2008 by Microsoft), ParAccel,
Greenplum (acquired in July 2010 by EMC), andVertica Systems (acquired in February
2011 by HP), and from packaged data warehouse applications such as SAPBW and
Kalido.

14. ADMINSTRATOR’S NEVER HAVE TO
DO
 Teradata DB’s never have to do the following tasks:
 Reorganize data or index space.
 Pre-allocate table/index space and format partitioning. While it is possible t have partitioned
indexes in Teradata, they are not required.
 Pre-prepare data for loading (convert, sort etc.,)
 Unload/Reload data spaces due to expansion. With Teradata, the data can be redistributed on
the larger configuration with no offloading and reloading required.
 Write or run programs to split input source files into partitions for loading.
 With Teradata the workload for creating table of 100 rows is the same as creating a table with
1,000,000,000 rows.
 Teradata DBA’s know if the data doubles, the system can expand easily to accommodate it
 Teradata provide huge cost advantages, especially when it comes to staffing DB admins.

15. REFERENCES
 www.wikipedia.com
 www.teradata.com
 www.teradatapro.com

16. ANY QUESTIONS ???

17. THANK YOU