the db2night show episode #76 ibm netezza 1000 appliance

© 2012 IBM CorporationJune 27, 2012

The DB2Night Show Episode#76

IBM Netezza 1000 ApplianceArchitecture and Best Practices

Pat Bates, WW Technical Sales for Big Data and Warehousing, jpbates@us.ibm.com

June 28, 2012

© 2012 IBM Corporation2

IBM Netezza Appliance � Revolutionizing Analytics

Purpose-built analytics engine

Integrated database, server & storage

Standard interfaces

Low total cost of ownership

Speed: 10-100x faster than traditional systems

Simplicity: Minimal administration and tuning

Scalability: Peta-scale user data capacity

Smart: High-performance advanced analytics

© 2012 IBM Corporation3

© 2012 IBM Corporation4

The IBM Netezza 1000 Architecture

Optimized Hardware +Software

Purpose-built forhigh performanceanalytics

Requires no tuning

Streaming Data

Hardware-basedquery acceleration

Blistering fast results

True MPP

All processorsfully utilized

Maximum speedand efficiency

Deep Analytics

Complex analyticsexecuted in-database

Deeper insights

© 2012 IBM Corporation5

S-Blade� Components

Intel Quad-Core

Dual-Core FPGADRAM

IBM BladeCenter Server Netezza DB Accelerator

SAS ExpanderModule

SAS ExpanderModule

© 2012 IBM Corporation6

AdvancedAnalytics

Loader

ETL

BI

Applications

FPGA

Memory

CPU

FPGA

Memory

CPU

FPGA

Memory

CPU

Hosts

DiskEnclosures

NetworkFabric

Netezza Appliance

© 2012 IBM Corporation7

Our Secret Sauce

FPGA Core CPU Core

Uncompress ProjectRestrict,Visibility

ComplexJoins, Aggs, etc.

select DISTRICT,PRODUCTGRP,sum(NRX)

from MTHLY_RX_TERR_DATAwhere MONTH = '20091201'and MARKET = 509123and SPECIALTY = 'GASTRO'

Slice of table

MTHLY_RX_TERR_DATA

(compressed)

where MONTH = '20091201'

and MARKET = 509123

and SPECIALTY =

'GASTRO'

sum(NRX)

select DISTRICT,

PRODUCTGRP,

sum(NRX)