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Be Right back in 5 minutes!

Thank you for joining

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IBM PureData System

for Analytics(Formerly known as, IBM Netezza)

- Ravi

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Datawarehouse Appliance

H/W & S/W pre-bundled, pre-configured

What is Netezza?

Little configuration needed after deployment

Solves the traditional datawarehouse complexities!

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Traditional DW Complexities!

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Netezza Appliance: Datawarehousing simplified!

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Netezza Architecture (major) Principles

Processing close to the data source

Balanced massively parallel architecture

Appliance Simplicity

Flexible configurations and extreme scalability

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SELECT DISTRICT, PRODUCTGRP, SUM (NRX)

FROM MTHLY_PROD_DATA

WHERE PDATE=20140401AND MARKET = 2014

And SPECIALITY = GASTRO

Slice of table

MTHLY_PROD_DATA

(Compressed)

SELECT

DISTRICT,

PRODUCTGRP,

NRX

SUM

(NRX)

FPGA in Action!

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S-Blade View

S-Blade: Where extreme performance happens

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AMPP Architecture

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What happens when you submit a query?

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What happens when you submit a query?

Host compilesthe query & divides into snippets

Optimizercreates a query execution plan by making intelligent decisions like join order/

redistribution/broadcast

Each snippet has two elements: Compiled code & FPGA parameters

Object Cache: Improves query performance. You can avoid code compilation

Scheduler: Maintains maximum utilization and throughput

S-Blades execute these snippets in parallel. Sends the results back to host

Host accumulates the results and results will be returned to Client

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Netezza TwinFin Specifications

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Netezza TwinFin Specifications

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Various Datawarehouse appliances in the market!

IBM (Netezza)

HP (Vertica)

EMC (Greenplum)

SAP (HANA-High Performance Analytics Appliance

)

Oracle (Exadata)

Teradata (Teradata, Asterdata)

Microsoft (DATAllegro)

http://ybigdata.blogspot.com/2013/01/vertica-vs-aster-data-vs-greenplum-vs.html

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Netezza Delivers

Speed: 10-100x faster than traditional custom systems

Simplicity & Ease: Minimal tuning & administration and greater resilience

Fast time to value: 5 TB/Hour load speed

Smart: Complex algorithms in minutes. A rich library of integrated analytics

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Data-In/Out of Netezza Appliance

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Course Contents (Development)

About Netezza Performance Server (NPS)

NPS AMPP Architecture & Various Netezza appliance models

Installing Netezza GUI client Interfaces

ODBC/JDBC/OLEDB Client connectivity Installing Netezza Emulator for day-to-day practice

Netezza Command Line Interface (CLI)

Netezza SQL (NZSQL) language

NZSQL DDL/DML/DCL/TCL statements

NZSQL command line options & Internal slash commands

Netezza Environment & System Variables

Managing User Access to the Netezza Database

Working with Databases & Tables (both from NZSQL & GUI interfaces)

Netezza Data Types, Schemas, Users, Groups, Privileges

Functions, Operators, Constraints, Sequences, & Synonyms

Data Distribution (Hash, Random) & Best practices

Transactions, Generate Statistics, Zone Maps, Materialized Views

Groom Table, CBT, SQL Identifiers

Data Loading/Unloading using External Tables, NZLOAD (CLI & GUI tools)

Netezza system tables, views, user tables, Materialized views Netezza Joins, Sub queries, stored procedures, Aggregates, UDFs

Netezza SQL Extensions & analytic functions

Techniques to improve Netezza query performance

Working with IBM Netezza support to resolve issues

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