keith bodell, account executive - federal matt campbell, systems engineer - federal netezzatwinfin

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Keith Bodell, Account Executive - Federal Matt Campbell, Systems Engineer - Federal NetezzaTwinFin

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Keith Bodell, Account Executive - Federal

Matt Campbell, Systems Engineer - Federal

NetezzaTwinFin

2009 | Confidential

Data Warehouse - Why Twin Fin?

Simplicity and Cost-Effectiveness

Develop requirements

Design logical data model

Load data

GO

Performance and Scalability

AMPP architecture

Advanced analytics platform

Petabyte+ capacity

Linear scalability

2009 | Confidential

“Classical” Data Warehouse Creation Tasks

Requirements Definition

Logical Data Model Design

Physical Database DesignAccess paths/IndicesPhysical data placementCache strategiesLatency requirementsAggregationsReporting vs. Analytics

Installation and ConfigurationEnsure OS, DBMS, Clustering, and Disk Management compatibilityDatabase definition (SQL DDL)Load

Tuning

2009 | Confidential

“Classical” Data Warehouse – New ApplicationDefine requirements

Re-consider:Access paths/IndicesPhysical data placementCache strategiesLatency requirementsAggregationsReporting vs. Analytics

Examine cost, effort, and performance impact on existing applications

Accept or reject, If accepted:

Evaluate current environment – any upgrades required?

Installation/ConfigurationOperating systems, DB, Clustering, Disk management compatibilityDatabase definition (SQL DDL)Load

Tuning

2009 | Confidential

Netezza Data Warehouse Creation TasksRequirements Definition

Logical Data Model Design

Physical Database Design – Make decisions regarding:Access paths/IndicesPhysical data placementCache strategiesLatency requirementsAggregationsReporting vs. Analytics

Installation/ConfigurationEnsure Operating system, DB, Clustering, Disk management compatibilityDatabase definition (SQL DDL)Load

Tuning

2009 | Confidential

Netezza Data Warehouse – New ApplicationDefine requirements

Confirm Logical Data Model

Re-considerAccess paths/IndicesPhysical data placementCache strategiesLatency requirementsAggregationsReporting vs. Analytics

Examine cost, effort, and performance impact on existing applications

Accept or reject, If accepted:

Evaluate current environment – any upgrades required?

Installation/ConfigurationOperating systems, DB, Clustering, Disk management compatibilityDatabase definition (SQL DDL)Load

Tuning

2009 | Confidential

Netezza Data Warehouse – Simplicity

“Netezza’s performance and ease of use allow us to provide our business users with a comprehensive view of the business when they need it, while allowing us to realize substantial cost savings.”

Executive Vice President of Sales, Marketing, Service &IT, BlueCross BlueShield of Massachusetts

“The [Netezza] system was also two-thirds the cost of our previous customer data warehouse, including ongoing support and maintenance.”

Director, Data Management and Data Warehousing Services, Ahold

2009 | Confidential

Netezza Data Warehouse – Performance

2009 | Confidential

The Netezza TwinFin™ Appliance

Page 9

High-performance databaseengine streaming joins,

aggregations, sorts, etc.

SQL CompilerQuery PlanOptimizeAdmin

Processor &streaming DB logic

Slice of User DataSwap and Mirror partitionsHigh speed data streaming

SMP Hosts

Snippet Blades™

(S-Blades™)

Disk Enclosures

2009 | Confidential

The Netezza AMPP™ Architecture

Page 10

Advanced Analytics

Advanced Analytics

LoaderLoader

ETLETL

BIBI

Applications

FPGA

Memory

CPU

FPGA

Memory

CPU

FPGA

Memory

CPU

HostsHost

Disk Enclosures S-Blades™

NetworkFabric

Netezza Appliance

2009 | Confidential

CPAG Architecture

Page 11

NSF/DHS

Netezza

GWA EDW

OTHER AGENCIES

SUB-CONTRACTORS

DATASOURCES

USERS

2009 | Confidential

Data Stream Processing

Page 12

FPGA Core CPU Core

Uncompress ProjectRestrictVisibility

Complex ∑Joins, Aggs, etc.

2009 | Confidential

Netezza Data Warehouse – Performance

“Gleaning valuable information from a two billion-row database…formerly took hours; with the Netezza system, the process takes just minutes.”

Vice President of Information Technology, Premier, Inc.

“Senior management teams used to make decisions based upon data that was eight weeks old…now they have the same report daily.”

Manager of Data Control, Orange

“The Netezza architecture is the simplest parallel computer we have ever used…Certainly, the achieved speedup is significant, and enables computations that were not previously possible.”

Sandia National Laboratories

Thank you