Data Analytics Tutorial

Eric Michiels

Executive IT Architect Enterprise Computing

End-To-End

Business Analytics on System z?

Yes You Can!

GSE Joined User Group Meeting

DB2 for z/OS and DB2 for Linux-Unix-Windows

The Questions that are Answered

Why is Business Analytics so relevant today?

Why deploying Business Analytics solutions on System z?

What is the value of a Query Accelerator?

How can you build a Data Warehouse on System z?

How can you set up a Business Analytics Cloud with System z?

Can all Business Analytics flavors be covered by System z?

How do clients assess their Business Analytics solution on System z?

How do you feed and maintain your Data Warehouse on System z?

Does System z allow to run a Dynamic Warehouse ?

Business Analytics ... Hot “Again”

Top priorities for the CIO

Source: 2011 Global Midmarket CIO Study

Please visit

http://www-935.ibm.com/services/c-suite/cio/study.html

Top priorities for the CEO

Source Data are increasingly Heterogeneous and Voluminous

Big Data 4 such as data from web logs, RFID, sensor networks, social networks, social

Business Analytics provides answers to the 3 KEY QUESTIONS

Dashboard

Operational or Strategic BI

Query & Reporting, OLAP

Exploratory Analysis

Statistics and Data Mining

Predictive Analytics

Extended User Community

Who are Successful Leaders? They make Quick Decisions ! (*)

Speed of Decision Taking is a Critical Success Factor

World

events

become more interdependent, uncertain,

fast-moving, and business-critical

The

speed of execution

becomes increasingly important

– “Opportunity Windows” become smaller

More data

are being generated, more quickly and more

randomly ~ “BIG DATA”

– More users: RFID, Twitter Feeds, Smartphones, ...

– Greater network capacity, cheaper storage

Analytical technology is

maturing

based on increasing

innovation

How to make the

BEST

decisions?

Threath?

Intuition or Business Analytics?

Decline in

homicide rates  40 %

Sales Increase thanks to

Cross-Sell Campaign  600 %

Cost Savings  € 11 Million

Daily users of IBM Business

Analytics  1000 Client Reps

Increase in cash flow

 € 160 Million

Decrease in reporting time on top of

Oracle e-Business Suite  80 %

Why is System z the Idea Foundation for Business Analytics?

60-70% of

Operational Data resides on System z

Copying

data from System z to another platform running the Data

Warehouse or Data MartsM

– Is costly

– Can be inefficient

– Takes longer to update

– May create data disparities due to challenging data synchronization

• No “single version of the truth” any more”

– Introduces security concerns

System z offers a fully integrated,

holistic solution from Operational Data to

Business Analytics

– This is “Business Analytics 2.0” 

FAST AND CORRECT DELIVERABLES

• New technologies!

We want ...

– To

avoid duplication

and

associated unefficient labor cost

!

Implementing a Business Analytics Solution involves 4 Primary Steps

1. Load data from Operational Data Sources in frequent intervals

into a large unified historical data repository known as a

Data

Warehouse,

and potentially

Data Marts

–Apply Extract, Cleanse, Transform, Load processes

2. Create

Reports and Dashboards

to answer a variety of what-if

questions

–Run simple, intermediate or complex queries that can take a few

seconds, minutes, to several hours to run

–“OLAP” or “FASMI” capabilities (ROLAP, MOLAP, HOLAP)

3. Use

Predictive Analytics

to gain insights and convert them to

actions

–Using data from past, score the likelihood of outcomes for future

events

1

3

4

Example of Data Mart Proliferation at Local Government in USA

Data Marts for four departments

_

significatant costs

IBM Internal Study Results of Data Mart Construction Cost Analysis

Pattern

Cost of storage – send file $ 12.33/GB * 1,024 GB

$ 13 K Storage Acquisition Cost $ 123 K

Cost of storage – receive file $ 18/GB * 1,024 GB

$ 18 K Cost of storage – data mart

$ 18/GB * 5,120 GB

$ 92 K System z Storage Admin

$ 5.88/GB/Y * 1,024 GB

$ 6 K Annual Storage Admin Cost $ 61 K

Distributed Storage Admin $ 8.99/GB/Y * 6,144 GB

$ 55 K System z CPU extract

$ 1.38/GB * 1,024 GB * 365

$ 515 K On Premises Network $ 0.0024/GB * 1,024GB * 4 hops * 365

$ 3.6 K Distributed CPU load

$ 0.39/GB * 1,024 GB * 365

$ 146 K

System z CPU FTP

$ 0.58/GB * 1,024 GB * 365

$ 217 K Off Premises Network $ 0.29/GB * 1,024GB * 2 hops * 365

$ 217 K Distributed CPU FTP

$ 0.05/GB * 1,024 GB * 365

$ 17.5 K

System z extract labor $ 4.67/job * 365

$ 1.7 K Annual Transfer Costs $ 1.1 M

365 days in a year

Distributed load labor $ 14.00/job * 365

$ 2.55 K System z FTP labor

$ 2.94/job * 365

$ 1.1 K Data Mart Analysis Costs not included

Multiple copies

1

New Technology is one thing ... but what about Corporate

Requirements?

“Data Analytics 2.0” is quite different

–

Blade technology

–

FPGAs - customize logic on the chip

–

SSDs - fast hard disk

–

Massive parallelism

Must be cost-effective

– No increase in labor, processes, duplication, facilities M

– Reduce complexity

Must be reliable

Must be responsive

Need the latest, accurate data

Must be secure

Must be easy to use

zEnterprise can meet all these requirements

zEnterprise allows for Holistic Business Analytics!

Operational

Data

Additional

Data

Additional

Data

z/OS Linux_UNIX Windows DB2 Oracle MS SQL Server

Extract

Cleanse

Transform

Load

Data

Warehouse

New

Intelligence

• Reports

• Dashboards

• Cubes

• Analytics

Cognos also runs on z/OS

DB2 for z/OS is Optimized for Data Warehouse Workloads

Data Warehouse Workloads typically include a mix of simple,

intermediate and complex queries

DB2 for z/OS Cost Based Optimizer decides upon best execution

plan for each query

–Simple queries assigned to a single processing thread

–Complex queries may be decomposed into operations that execute in

parallel, exploiting Partitioned Table Spaces

• Data for complex queries may be partitioned for parallelism

Materialized Query Tables (MQT)

Result: Optimum Throughput

DB2 10 for z/OS ~ again a wealth of features supporting the

Data Warehouse

Compress on the fly on INSERT

Auto-statistics

Access path stability and hints enhancements

Access path lock-in and fallback for dynamic SQL

Automatic checkpoint interval
Automated installation,

configuration & activation of DB2 supplied stored procedures & UDFs
Data set FlashCopy in COPY &

inline copy

Inline image copies for COPY YES indexes

UNLOAD from FlashCopy backup
REORG enhancements

Reduce need for reorganizations for indices

CPU reductions

Hash access path
Versioned data

Numerous optimizer

enhancements, paging through result sets

Parallel index update at INSERT

Faster single row retrievals
Inline LOBs

LOB streaming between DDF and rest of DB2

Faster fetch and insert, lower virtual storage consumption
DEFINE NO for LOBs and XML

MEMBER CLUSTER for UTS
Query parallelism

enhancements: lifting restrictions

Dynamic Index ANDing Enhancements

Option to avoid index entry creation for NULL value
Index include columns

Buffer pool enhancements
Increased number of active

threads

Reducing latch contention

Work-file spanned records, in-memory enhancements

More online schema changes for table spaces, tables and indexes via online REORG

Online REORG for LOBs
Online add log

Automatically delete CF

structures before/during first DB2 restart

Allow non-NULL default values for inline LOBs

Loading and unloading tables with LOBs in stream

Currently committed locking semantics

More granular DBA privileges
SQL compatibility

Additional zIIP eligible workloads

z/OS Is Optimized For Data Warehouse Workloads

Data Warehousing is resource intensive

– z196 has more processors , memory and cache than other enterprise

server

I/O is offloaded to the dedicated I/O sub-system

– Extra 14 processoers drive IO

– Allows for throughput that is “second to none”

Parallel Sysplex clustering designed for near linear scaling

DS8000 delivers high storage bandwidth with caching

Highest QoS

– Given its strategic importance, Business Analytics requires a QoS that is

as important as for operational and business critical workloads

• z/OS provides unmatched scalability

• z/OS includes systematic Disaster Recovery

Attractive pricing with IBM Smart Analytics Solution 9700

IBM Smart Analytics System 9700

A Comprehensive Package For Business Analytics

Extend the qualities of service, inherent in the z/OS environment to

ensure the availability and security of data

Hardware and Operating System

– IBM zEnterprise z196 technology

– IBM System Storage DS8800 Intelligent Disk controller

• Large controller cache and 3 Tier disk offering

– z/OS 1.13

Unique Software

– DB2 10 for z/OS

– Cognos 10 BI (Linux on System z)

– InfoSphere Warehouse (Linux on System z)

– SPSS Modeler (Linux on System z)

Optional Components

– IBM DB2 Analytics Accelerator

– Solid State drives, integrated within DS8800

• Easy Tier to identify and migrate “hot data” to SSD

IBM Smart Analytics 9700 and 9710

A comprehensive, strategic, and flexible analytics environment on System z

What does it include:

•

zEnterprise Hardware (z196 or z114) :

LPAR or Standalone

•

Storage: DS8700 with intelligent

controller functions and SSA/SATA as

optional via special bid

•

3-5 years Maintenance

•

Software Stack

•

Delivers a PACKAGED SOLUTION into the market place

•

Leverages IBM industry leading software

•

Customized with optional components

•

Priced using ”

Solution Edition”

concept

Add IBM DB2 Analytics Accelerator For Even More Optimization

Reach an amazing performance!

What is a IDAA?

– A workload-optimized, appliance add-on

–

Deeply integrated

with DB2 for z/OS and

transparent to applications

– Significantly

speeds up the response time

for a wide variety of intermediate and

complex queries

–

Drives down the costs

of Data

Warehousing and Business Analytics

– Application talks to DB2 for z/OS

Some Characteristics

– Powered by

Netezza Technology

–

Massively Parallel Processing

– Architecture with data partitioned

across multiple disks, each matched

with a CPU

– Incorporates streaming architecture

based on Netezza’s patented data

filtering using

Field Programmable

Gate Arrays

(FPGAs)

– Tuned for delivering fast query

response times for a wide variety of

decision workloads

– Uses efficient data filtering by early

SQL projections

– Storage integrated into the hardware

rack

– Supported on DB2 for z/OS v9 or

DB2 for z/OS v10 running on a z114

or z196

1

IDAA Deep Analytics OLTP and Transactional Analytics

DB2 z/OS

IDAA Query Execution Process Flow

IDAA allows for partitioning of data into physical disks and assigning dedicated

processors to each disk – throughput scales linearly with partitions

– Large Fact Tables can be partitioned across storage devices

– Sample configuration

Example of a Typical BI Production Environment

Daily Fixed-Set Operational Reports Run Concurrently On A Periodic Schedule

•

This is the workload...

•

... Let us examine how 3 different BA Infrastructures tackle this

workload, in terms of

performance and cost

IBM Smart Analytics System 9700 beats ....

ISAS 9700

2 DBMS Nodes

• 2 x Quad Core CPU • 72 GB Memory

3 Storage Devices

Each node:

• 2 x Quad Core CPU • 24 GB Memory • 4 * 88 GB

IBM DB2 Analytics Accelerator makes a great Analytics Solution

Even Better

2 DBMS Nodes

8 Blades 64 Bit Linux

• 1 TB data

Remarks

ISAS + IDAA performance estimated from ISAS running simple reports, and NZ TF12 running intermediate + complex reports

ISAS 9700

ISAS 9700 + IDAA TF12

1

Customers Are Excited About Business Analytics On zEnterprise

Only a

few

examples 4

DB2 Analytics Accelerator: “We had this up and

running in days with queries that ran over 1000

times faster”

DB2 Analytics Accelerator: “We expect ROI

in less than 4 months”

Cognos BI for System z: “We didn’t have to justify

a higher cost for putting this on System z, it was

cheaper!”

Analyst Claudia Imhoff: “The industry pendulum

is swinging towards centralization and there is

no better platform than the zEnterprise”

IDAA Anonymised Results

Production ready with 1 person in 2

days

Table Acceleration Setup in 2 Hours

– DB2 “Add Accelerator”

– Choose a Table for “Acceleration”

– Load the Table (DB2 Loads Data to

the Accelerator)

– Knowledge Transfer

– Query Comparisons

1

• Initial Load Performance

• 400 GB Loaded in 29

Minutes

• 570 Million Rows

• Loaded 800 GB to 1.3 TB

per hour

• Extreme Query Acceleration

• 1908x faster

The easy road to a DB2 for z/OS Data Warehouse with

InfoSphere Warehouse

• Low latency through regular extracts of new data with InfoSphere Warehouse SQW

• Keep your data

highly available, reliable, secure, and compliant

with DB2 for z/OS

•

Reduce impact on transactional data

and systems through the use of InfoSphere

Warehouse Cubing Services

1.

Model your data for OLAP access using the

InfoSphere

Warehouse Design Studio

2.

Populate your star schema using

InfoSphere Warehouse

SQW Scripts

3.

Build one or more Cube structures using the

InfoSphere

InfoSphere Warehouse Design Studio

Cognos

Excel

System z Environment Improved with InfoSphere Warehouse z/OS Linux for System z

InfoSphere DataStage on Linux on System z

Accelerate development of integration processes

Delivers hundreds of pre-built re-usable transformation

components and routines
Delivers a scalable platform to

meet both batch and real-time demands

Collaborative, reusable and productive metadata driven

development

Support for complex

transformations across heterogeneous systems

Massively scalable

architecture and performance

Requirements

Benefits

Transform and aggregate any volume of information in batch or real time through visually designed logic

CDC 1 ₄ 5 2 DataStage database database Source CDC _Transaction Stage Database Connector Stage CDC DataStage Target 1 3 5 2 2

Design logic once

Run and scale anywhere Pack for “Data Masking”

For Real Time Business Analytics,

Incremental Updates are Indispensible

InfoSphere

• Replication Server • Change Data Capture

IBM InfoSphere QualityStage on Linux on System z

Specialized data quality functions seamlessly integrated with InfoSphere DataStage

Visual tools for defining complex matching and survivorship logic

Ensures clean, standardized, de-duplicated information

Enables a single version of the truth

InfoSphere QualityStage™

Source Data

Cleansed Data

Phase 1 Phase 2 Phase 3 Phase 4

Flow

Phase 1: Investigate your data

Phase 2: Standardize your data

SETID SSN Name Address City State Zip Code 1 NULL Jerome David Salinger Holden Caulfield Hwy Agerstown PA 19102 1 NULL J. David Salinger 51 Holden Caulfield Hwy Agerstown PA 19102-1919 1 123-45-6789 J.D. Salinger Holden Caulfield Hwy Agerstown PA 19102

SETID SSN Name Address City State Zip Code 1 123-45-6789 Jerome David Salinger 51 Holden Caulfield Hwy Agerstown PA 19102-1919

Survivorship Output used to update the Master Data

Input Data

Flow

Phase 3: Match your data

Phase 4: Maintain your matched data

Create Reports and Dashboards using Cognos

People-centric

– Server based business analytics accessed via browser with

thousands of users

and not hundreds of users

– Consistent user interface for different analytic activities –

extremely consumable

–

Reuse

new intelligence assets

– Built-in

collaboration

and social networking

– Threaded discussions, activities, and notifications

Easy to deploy and manage

– Implemented in Java, runs on WebSphere Application Server

or another

Java EE

Application Server

–

Scales up and out

across heterogeneous hardware and

operating systems

–

Runs on Linux on System z

You need to create a

meta model

to hide database

naming and tansform in business terms

–

Nice: common meta model !

Query Studio, GIS, Pivoting, Report Studio,

PowerCubes, are integrated functions

IBM Cognos Provides a Unified Workspace

All activities from one place, without jumping to different interfaces

• Dashboards for summary overview • Reports for tracking progress

• Ad hoc queries and drill down for analysis and what if scenarios • Statistics and predictive analysis

Progressive interaction – interact and analyze information based on role

Form decision networks for collaborative business analytics

Lotus collaboration technolgies are integrated into Cognos

Serves users from

different LOBs

and with different interest areas

3

Reuse Prior Assets In New Deliverables

Author once, consume anywhere

– No export/import needed

All analytic assets share a

common metadata model

and a common

multilingual report specification

Publishing is possible in

multiple formats

Ensures consistent information and enables reuse across platform

functions

You have options to bring together

different visusalizations

in

one web

based interface

Miami Dade County Runs Cognos on Linux on System z

Requirements

Demand for BI has really taken off

– New Federal reporting

requirements

– Every new system, every new

solution, every new application

is having a business intelligence

component

Multiple Cognos BI deployments

Wanted an

enterprise BI

standardized solution

, but

– Needed higher capacity – grow

from approximately

400 to 1000

users

–

Do more with less

- less

researchers, less software, less

hardware, same staff

– Had available IFL’s on System z

Results

11 days

to move from distributed to System z

deployment model for Cognos BI

– Quickly and easily meet new requirements

–

High QoS on short term

Consolidate multiple BI deployments on to a

single platform

Single point for BI administration

Consolidate multiple disparate data sources

Ensure

99.999% availability

Offer a complete

disaster recovery plan

Additional

green savings

Analytics Cloud based on Cognos on Linux on System z

Sample Deployment

SPSS enables customers to Predict Future Events

and drive better Business Outcomes

Sample Questions

• What is the profile of my most profitable clients? Which campaign should I deploy for up-selling? CLUSTERING

• Will this new prospect be profitable for my insurance business, or will he generate a lot of claims? VALUE PREDICTION

• Which products should I bundle or not bundle in order to maximize revenue and profits? ASSOCIATIONS

• What is the probable acquisition sequence of services for this type of client? SEQUENTIAL PATTERN

• Are there Buying Patterns that frequently occur and can we couple them to the demographic profiles of our clients?

SIMILAR TIME SEQUENCE

• Given the blood pressure and the Cholesterol values, is this patient candidate for a desease? CLASSIFICATION

Solution: SPSS 





 “

S

tatistical

P

ackage for

S

ocial

S

ciences”

– Key role in creating the Predictive Analytics market – Acquired by IBM October 2009

– SPSS has the most customers in the most industries – 250,000 customers

– Over 95% of the Fortune 1000

The Predictive Analytics Methodology

Recommend

the most

appropriate

action

to take

Store new data

on customers,

events, etc. for

continuous

improvement

Predictive Analytics

Analyze data to

provide insight and

predict the future

Capture

Predict

Act

Identify Fraud

Improve customer retention
Grow share of wallet

Minimize risk
Increase customer satisfaction Prospects Customers Traffic Claims _Weather Material

Predictive capabilities bring repeatability to

ongoing decision making, and drive confidence in your results and decisions

Unique deployment technologies and

Statistics Text

Mining Data_Mining

SPSS Predictive Analytics Software available on Linux for System z

(

3 out of 4 Categories)

Data Collection

Delivers accurate view of customer attitudes & opinions

•

IBM SPSS Data Collection

Statistics

Drives confidence in your results & decisions

•

IBM SPSS Statistics

Modeling

Brings repeatability to ongoing decision making

•

IBM SPSS Modeler

•

IBM SPSS Text Analytics

Deployment

Maximizes the impact of analytics in your operation

•

IBM SPSS Decision Management

•

IBM SPSS Collaboration & Deployment Services

IBM SPSS Modeler and Text Analytics

High-performance

data mining

algorithms and workbench

– Set of

mining algorithms

that provide

insight and prediction

– Enables the discovery of key insights,

patterns and trends in data

that can be

used to optimize business decisions

Benefits

– Maximize Analyst Productivity

• Easy to learn

• Don’t have to be a programmer or a trained analyst

– Automation drives rapid ROI

• Automatically create, evaluate and deploy predictive models

• Automate data preparation

– Performance and scalability

• Best in class database pushbackfor data

transformationsand data mining algorithms • Multithreading, clustering and use of

embedded algorithms

4

Uses

natural language processing

heuristic rules

and statistical techniques to

reveal conceptual meaning in text

– Makes unstructured qualitative data more

quantifiable, enabling the

discovery of

key insights

from sources such as

survey

responses, documents, emails, call

center notes, web pages, blogs, forums

and more

Benefits

– Broaden the Perspective

Predictive Analytics and Business Rules Synergies

Predictive Analytics 

implicit patterns

based on

historical data

and

statistical analysis

Business Rules 

explicit patterns

based on

internal knowledge

(e.g.

best practices),

regulations, and policies

This combination allows for “Operational Decision Management”

– Typically leverages a combination of these technologies:

Business Rules Management

Business Event Processing

Business Process Management

AND

Predictive Analytics

Business Intelligence & Performance Management

39

Acceptabl e

Aggregate score

& risk assessment (BRMS) Internal Predictive Risk Score)

Yes No

Credit Bureau Risk Score(s) Eligible? Eligibility Determination (BRMS) Yes No

How are our customers using Business Rules together

with Predictive Models?

At design time

• Using Predictive Models to

improve

Business Rules

• Updating Business Rules with Model results

• Using Predictive Models to create

new explicit Business Rule

artifacts

• Creating Business Rules from Models

At run time

• Using Business Rules to determine which

Predictive Model to apply

• Using Business Rules to reference

Predictive Scores at runtime

• BPM/SOA Orchestration of standalone

decision and scoring services

End-To-End Business Analytics on zEnterprise!

The Enterprise Data Warehouse InfoSphere Warehouse Cubing Services InfoSphere Warehouse -Data Warehouse Modeling Source Systems : DB2 IMS VSAM Non IBM

Industry Data Models Available

DB2 for z/OS Tools DB2 for z/OS Tools

IMS Tools

IBM DB2 Analytics Accelerator

zEnterprise is an excellent platform for Business Analytics!

Operational and Warehouse Data

co-located

on z196 or z114 for optimal

performance

Exploitation of

IBM DB2 Analytics Accelerator for medium-complex and

highly-complex queries

Cognos

supports a common metadata model and report specification, and

provides 100% browser-based access

SPSS

predictive analytics provides actionable insights versus “hindsight”

Systematic Disaster Recovery and Backup Strategies

“

Data Base Tuning for Performance” is an established discipline

Qualities of Service

Global Name Recognition

Warehouse

Cognos

BI

InfoSphere

Information

Server

ETL

Data Quality

Dynamic Warehouse

The Integrated Stack for System z

InfoSphere Industry Models

InfoSphere

Warehouse

Cubing

InfoSphere

MDM Server

Capture

Operational Source Systems Structured/ Unstructured Data

Because Big Data matterM

InfoSphere Big Data Platform

Allows organizations to extract insight from an immense

Volume, Variety and Velocity

of data, in context, beyond

what was previously possible

At the Swedish Institute of Space Physics,

Solutions

InfoSphere BigInsights

InfoSphere Streams

Streaming Analytics

Analyze streaming data

Analytics for text,

structured data, statistics,

audio, video

Ultra-low latency

performance

RDBMS, Data Warehouse

integration

Internet Scale Analytics

Hadoop-based

User visualization

Development environment

Text analytics

Scale to significant data

volume

RDBMS, Data Warehouse

IBM Business Analytics & Data Warehousing on System z

Product Portfolio

Business Intelligence

Cognos Business Intelligence for Linux on System z

Cognos Business Intelligence for z/OS

Predictive Analytics

IBM SPSS Statistics:
IBM SPSS Modeler:

IBM SPSS Collaboration and Deployment Services

IBM SPSS Decision Management

Extract-Cleanse-Transform-Load and

Metadata Management

IBM Information Server family

InfoSphere DataStage for Linux on System z
InfoSphere Information Analyzer for Linux on

System z

InfoSphere QualityStage for Linux on System z
InfoSphere Metadata Server for Linux on System z
IBM Metadata Workbench for Linux on System z
InfoSphere Business Glossary for Linux on

System z

InfoSphere Information Services Director for Linux on System z

Replication Server, Change Data Capture

Data Warehousing

DB2 for z/OS VUE (Value Unit Edition)

InfoSphere Warehouse for Linux on System z – Tooling, SQW, Cubing Services

DB2 Analytics Accelerator
DB2 for z/OS Tools

Infrastructure Platform

z196
z114
zBX

Flexible Deployment Options

IBM Total Solution Event for System z

September 18 - 20, 2012 – IBM Forum Brussels

Track 1 zEnterprise for IT Managers and Executives Track 2 zEnterprise for IT Architects

Track 3 New Technologies on zEnterprise

Track 4 Maximize Scalability and Flexibility with Linux and z/VM on System z / z/VSE Update Track 5 Cloud Computing with zEnterprise

Track 6 Integrated Management and Monitoring of zEnterprise Track 7 Managing and exploiting Enterprise Data and Information Track 8 Exploiting Modern Application Architectures on zEnterprise

Track 9 Increasing Productivity and Time to Market with Application Development Solutions for zEnterprise Track 10 DB2 on z/OS Update

Track 11 IMS Update Track 12 CICS Update

More than 60 sessions during 3 days brought to you by ITSO and worldwide

experts. Don’t miss this free of charge event and spread the news!

IBM zEnterprise landing page:

http://www.ibm.com/systems/z/hardware/zenterprise/index.html

IBM zEnterprise 114 (z114):

http://www.ibm.com/systems/z/hardware/zenterprise/z114.html

IBM zEnterprise Events Landing Page:

http://www.ibm.com/systems/breakthrough

IBM software for zEnterprise:

http://www.ibm.com/software/os/systemz/announcements

IBM System Storage:

http://www.ibm.com/systems/storage/product/z.html

IBM Global Financing:

http://www.ibm.com/financing/us/lifecycle/acquire/zenterprise/

IBM Services for zEnterprise:

http://www.ibm.com/services/us/gts/zenterprise/index.html

IBM zEnterprise / System z Redbooks Portal:

http://www.redbooks.ibm.com/portals/systemz

Proof-Of-Concept?

Life Demonstration?

Sizing?

TCO Study?

Fit For Purpose Workshop?

Customer visit or call?

47

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