information management system z - ibm management system z 2008 ... db2 9 for zos and db2 tools...
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© 2008 IBM Corporation
Information Management System z 2008
Information ManagementSystem z
Louis HollaInformation Management zSeries Software
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Information Management 2008
© 2008 IBM Corporation
Agenda
• Why Data Warehousing on System z
• Data Warehousing Market Directions
• Target Segments for Data Warehousing on System z
• What exists today for Data Warehousing on System z
• What is coming for Data Warehousing on System z
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Understanding the terminology
� Business Intelligence (BI) and Data Warehousing (DW) are sometimes used interchangeably
– Typically BI includes end user tools for query, reporting, analysis,
dashboarding etc.
– Both concepts depend on each other
– BI almost always assumes a Warehouse (WH), Operational Data Store
(ODS) or Data Mart (DM) exists with timely, trusted information
– A DW depends on end user tools that turn data into information.
� Both terms (DW and BI) address desire for timely, accurate, available data delivered when, where and how the end users want it
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What is Data Warehousing?
� Data Warehousing provides the underlying data storage facilities required to support any BI Solution.
� An Operational Data Store (ODS) is a subject oriented database organized by business area. It is up to date (vs. historical) and detailed (vs. summarized).
� A Data Warehouse (DW or sometimes WH) is a multi-subject oriented database populated from operational systems and/or ODS’s. It is historical (vs. point-in-time) in nature and typically contains detailed data. It is often looked upon as the single source of corporate “truth”.
� A Data Mart (DM) is a database designed to support the analysis of a particular business subject area. Data has usually been transformed and aggregated from the source DW or operational system. Data Marts can be relational, multidimensional (OLAP) or statistical in nature.
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How customers use WH/BI to manage their business better
� Financial intelligence and business performance management– The ability to provide accurate information to shareholders and regulators
– The ability to monitor and correct business performance as quickly as possible
� Marketing intelligence– Insights about their customers
– A single view of their customers
– Market and competitive intelligence
– Information on the profitability of their customers
� Operations intelligence– The ability to monitor business activities
– Insights into their suppliers
– A single view of their suppliers
– Insights on their production processes that enable greater efficiencies
� Human resources intelligence
– Insights into their workforce
� IT intelligence– The ability to analyze information systems and performance
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Why is Warehousing important to IBM – and to you
� Warehousing/Business Intelligence/Analytics is a high growth(6-8%), lightly penetrated opportunity
– Estimated 85 percent of users who need some form of reporting/analytic capability do NOT have it yet
� GTS survey results:– Information Management is largest and fastest growing middleware services area
– Business Intelligence Services was #2 priority for surveyed customers (Information Management was #1) – 35% rated highly important/top budget item
� A top priority for Data Services Segment– Grow share among SAP clients– Grow volume of Dynamic Warehousing solutions
– Extend Data Warehousing value to Information as a Service– Grow Dynamic Warehousing reach and share via channel partners
� A top priority for STG: Focus on new workloads– Business Intelligence
– Mission critical enterprise management”,
– Business integration
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Why Talk about Data Warehousing on z/OS in 2007
� System z customers are asking for increasing support and capabilities for DWH on z– Protects their investment in System z
– Keep up or lead in BI and DWH technologies
– Significant amount of enterprise data is on System z
� Many z customers have a DWH on DB2 z/OS (?)
� System z can capture DW consolidation and modernization opportunities
� Demand for real-time access to operational data for BI analytics is growing
� The BI operational needs for reliability, availability and security are growing
– The z/OS platform is a secured system second to none.
� Significant DW capabilities have been added to DB2 V8 with even more DB2 9
� The new zIIP processor provides TCO and IT optimization
– Particularly useful for BI queries (star schema) and parallel query processing
� Newly acquired data integration and analytic components combined with partner
capabilities make best of breed integrated solution.
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A Single View of the Enterprise Drives the requirement for Data Warehousing
� Data volumes rise� Amount of historical
Information grows� Number of users
grows � Questions are more
numerous and sophisticated
� Schema complexity grows
� Workload mixturechanges
� Development time shrinks
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DW Compliance � System z Supports Compliance
– Single version of the truth
– Data confined to one location regardless of where the application is running
– Single process to manage compliance
– Fewer people to manage compliance process
– DB2 Audit Management Expert
– Tivoli Compliance Insight Manager
– Single place for auditors to look for both operational and warehouse data
– Industry specific data models assist DW compliance
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Factors that Influence Data Warehouse on System z Platform Selection
� Existing infrastructure� Platform preferences and skills in-house� Budget/Cost
� Server Consolidation� Market trends in warehousing solutions and vendors� Complexity
� Competitive influences� Mergers and acquisitions or consolidations� Data or application sources� Business processes required and business drivers � Reliability, Extremely High Availability, Security
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When is System z the Preferred Platform?
�Need true real-time Operational Data Store (ODS)– Operational data is on System z
– Data must virtually be in sync with the operational data
– Availability, Security and Resiliency needs are high
– Meet auditable data warehouse requirements
�Specialty engine allows for IT optimization– zIIPs, zAAPs, IFLs.
�Want to leverage & optimize existing z skills and investment– Can balance workload based on business policies/needs (WLM), separate OLTP and DW
workloads
� Consolidation of distributed marts or DW to anexisting System z Data Serving platform
And when NOT………..
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Commercial
IBM - ForumBourgetlaan, 42
B-1130 Brussel
Phone : +32 2 655 54 40
Wednesday April 23th, 2008:DB2 9 for zOS and DB2 tools Seminar
DB2 9 for zOS and tools workshopThis one-day free seminar provides a unique opportunity for technical professionals,
architects and managers to gain insight into DB2 9 for z/OS and optimizing its use by getting
the latest information on the IBM DB2 tools. We also provide you with the latest industry
trends and hot topics like Information on demand, Information integration and Data
governance on System Z.
You'll hear a brief overview of the IBM's Information as a Service initiative, learn about the
latest IBM acquisitions (Princeton Softech, Datamirror and Cognos) and see some upcoming
releases of key DB2 tools (DB2 9 for z/OS Value Unit Edition, IBM Data Studio, IBM
Information Server for System Z, DB2 Optimization Expert, DB2 Optim solution, IBM
Dataquant, DB2 Audit Management Expert, DB2 Recovery Expert, DB2 Cloning tool, DB2
Accessories Suite).
You can register on :https://www-926.ibm.com/events/wwe/swgp/swgpbe.nsf/agenda?openform&seminar=kwo98DJNWES&lang=be
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Market Directions
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Dynamic WarehousingA New Approach to Leveraging Information
Dynamic Warehousing
Traditional Data Warehousing
OLAP & Data Mining
to Understand Why and
Recommend Future Action
Query & Reporting
to Understand
What Happened
Information On Demand
to Optimize Real-Time
Processes
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Warehousing strategic pillarsGuiding principles for innovation
Extended InsightBeyond traditional capabilitiesFurther leverage informationExtended business insight
Support broader usage
SimplicityEasy to deploy and integrate
Easy to useEasy to manage
Easy to start and grow as needed
Reliability & PerformanceReliable access to information
Highly availableReal-time performance
Maximized resource efficiency
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IBM DB2 Warehouse software A complete, integrated platform
Mo
deli
ng
an
d d
esig
n
Ad
min
istr
ati
on
an
d c
on
tro
l
Data movement and transformation
Database management
Performance optimization
Workload
control
Data
partitioning
Deep
compression
Embedded analytics
Data mining and
visualization
In-line
analytics
IBM DB2 Warehouse
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Recent IBM Investments Further Contributing to Adoption of System z for New Workloads [WIP]
Application-Driven Projects Information-Driven Projects
Application Development and Delivery Infrastructure Incorporating System z
Enterprise IT Management Infrastructure Integrating System z
� DB2 VUE provides cost effective solution for
new workload implementations through an OTC
pricing model
� DB2 Warehouse offering for critical
performance for dynamic warehousing and
OLTP requirements
� Information Server for System z enables
System z to be the trusted information hub
� DB2 9 optimized for SAP
� IMS 10 for critical on-line operational app’s
� Content Manager v8.4 and Content Manager On
Demand v8.4 support a strategic ECM platform
� Web 2.0 apps enabled using WS Portal
� Workload consolidation benefits through
common infrastructures (e.g., WebSphere
Application Server)
� Rapid time to market & low business risk with
CICS Service Flow Feature & WebSphere
Adapters
� Ability to integrate existing & new assets via
WebSphere MQ messaging backbone and
federated ESBs
� Faster business innovation built through
WebSphere Process Server
� Asset Management
� Architecture Management� Skills
Management� Quality
Management� Change and Release
Management
• Interdependent Applications • Linux and SOA • Composite Applications
• Core Applications • Financial and Service • Storage• Federated Identity • Workload and Availability
• Distributed Environments
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The Information Challenge
Information Challenges
Accuracy
Timeliness
Relevance
Accessibility
Security
. . .
Business Challenges
Globalization
M&As
Supply chain
Risk & compliance
Customer loyalty
Operational costs
Business velocity
. . .
People can spend up to 70% of their time looking for
information
60%+ of CEOs: Need to do a better job leveraging
information
5X more value creation by organizations using
information effectively
Sources: IBM Attributes & Capabilities Study, 2005; Client Interviews 2004; IBM CFO Study, 2006
INFORMATION
IS A
STRATEGIC
ASSET
INFORMATION
IS A
STRATEGIC
ASSET
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Addressing Key
Customer Requirements
� Workload consolidation
� Integrating data via SOA
� Reduced total cost of
ownership
� Next generation warehousing
IT Projects Driving New Business Initiatives
People, Processes, Applications
Trusted InformationIn Context
Data Governance & Accountability
• Automated archiving to manage continuous data growth
SAP Information Infrastructure
Dynamic Data Warehousing• Co-located OLTP & DW • Move to System z decreased reporting times 80%
Master Data Management
• Significant IT savings• Improved customer service• Business growth
SOA Data Serving• Exposed legacy IMS through Web services
• Guaranteed integrity on over 4 billion IMS transactions per month
• consolidated customer profile to enable customer centric processing for sales and service
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Information On Demand and SOATwo sides of the same coin…
SOA provides business flexibility
IOD provides the trusted information needed by your services
“You will waste your investment in SOA unless you have enterprise
information that SOA can exploit.”– Gartner Research
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Gartner perspective on BI and DWH market
System z holds a viable place in the Leaders quadrant
The emergence of issues based on a mix of 4 DW workloads
• Continuous (near-real-time) data loading – similar to an OLTP workload
• Large numbers of standard reports • An increasing number of true ad hoc query users • An increasing level of analytics and BI-oriented functionality in OLTP
The mixed workload performance will become the single most important performance issue in DW
The transactional DBMSs have an edge that challenges the DW DBMSs (such as Teradata) to stay ahead
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IBM System z Data Servers
Trusted Platform for SOA
� IMS 10 XQuery and Web services enhancements ease data service delivery
�DB2 9 pureXML for seamless and efficient integration of XML & relational data
Industry’s Highest Level of Availability & Scalability
�Unmatched availability for “utility class” information access
�Rapid and non-disruptive scalability for variable mission critical requirements
Unmatched Risk and Compliance Management
�New security capabilities for greater control and business flexibility
� Improved auditing and accountability
Lowest Operating Cost
�Reduced operating costs through z/OS and zIIP engine exploitation
�Superior environmental efficiency – “the green machine” power, cooling, and space
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Commercial
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What Exists Today for Data Warehousing on System z
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ODSs, Staging, detail, denormalized, Raw Source
Duration: 60, 120, 180, etc days
Near 3rd Normal Form, Subject Area, code and
Reference tables. Duration: Years
Summarized DataPerformance and rolled up Data
Duration: Years
Star Schema, Data Mart, Cubes, Duration: Years
Dashboard
Static reports,
Fixed Periods
Floor 1
Floor 5
Floor 4
Floor 3
Floor 2
Near RealTime, MQ, LOAD, multi-row insert…
Mining, scale, growth, Merge…
ELT, MQTs, SQL Function…
Logical DM using Views for flexibility wherever possible, otherwise Physical DM
Alphablox, DataQuant, …
Enterprise Data Warehouse using layered data architecture
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Solution Architecture
Member A
OLTP
CEC One
Member B
OLTP
CEC Two
DB2 Data
SharingGroup
CFCF
CEC One CEC TwoCFCF
DB2 Data
Sharing
Group
Member C
DWH
Member D
DWH
Within a data sharing environment, the data warehouse resides in the same group as the transactional data.
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Initial load of the Data Warehouse
Member A
OLTP
Member B
OLTP
CEC One CEC TwoCFCF
Member C
DWH
Member D
DWH
ETL Accelerator
pSeries
xSeries
zLinux
ETL is done, by using an ETL Accelerator which
in it’s current implementation is represented by
DataStage (IBM Information Server) on a
secondary system. Until end of 2007, pSeries
and xSeries are the only supported systems.
Later on the ETL Accelerator will move to
zLinux as soon as the Information Server is
available there.
Extract
Load
Extract
JDBC/ODBC
Software AG
Adabas
VSAM,
IAM &
sequential
CA
IDMS
CA
Datacom
IMS
Classic Federation Server
z/OS
DB2 UDB
for LUWOracle SQL Server
Distributed Data Sources- Integration -
Extract
JDBC/ODBC
The data is extracted from the OLTP information of the data sharing group, transformed by DataStage and then loaded into the
data warehouse tables again.
Legacy data sources are integrated through the Classic
Federation Server. This way data
is extracted from DataStage
directly out of the data sources
like IMS, VSAM…
Distributed data sources are directly integrated
through the IBM
Information server.
Da
taS
tage
Pa
ralle
l E
ngin
eD
ata
Sta
ge
Pa
ralle
l E
ngin
e
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At runtime, the Data Warehouse is updated incrementally
Member B
OLTP
CEC One CEC TwoCFCF
Member C
DWH
Member D
DWH
ETL Accelerator
pSeries
xSeries
zLinux
DB2
VSAMSoftware AG
Adabas
CaptureIMS
Data Event Publisher
CA-
IDMS
z/OS
DB2 UDB
for LUWOracle SQL Server
Data Event Publisher
Capture
Distributed
MQ
MQ
MQ
Update & Insert
Member A
OLTP
Chan
ge
Cap
ture
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In Database ELT is triggered by DataStage
Member A
OLTP
Member B
OLTP
CEC One CEC TwoCFCF
Member C
DWH
Member D
DWH
ETL Accelerator
pSeries
xSeries
zLinux
Simple example:
-- Aggregate by salary by department into AGGRSALARY
INSERT INTO AGGRSALARY ( DEPTCODE, AVGBAND, AVGSALARY )
SELECT DEPTCODE, AVG( BAND ) AS AVGBAND, AVG( SALARY ) AS AVGSALARY
FROM STAFF
GROUP BY DEPTCODE
Wherever possible, “In Database” transformations (ELT) are used to
spare the transport of the data to the accelerator. But the used SQL is still
sent from the ETL Accelerator to the database to have one place of
documentation for all ETL steps.
This can also be used to shift the data up the hierarchy within the Layered
Data Architecture.
SQLELT
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What DW Capabilities Exist Today for System z
�DB2 z/OS V8 & V9 DW Base
–Functional and performance enhancements
–Easier online reporting and data management capabilities
–DB2 family compatibility
�DW ETL
–WS DataStage EE, WS Classic Federation Server, WS Data Event Publisher, WS Classic Event Publishers, Distributed DBMS Event Publishers, BatchPipes for OS/390, DB2 Unload/Load Utilities, DataMirror Transformation Server
�Analyze/Report
–From IBM: Alphablox, QMF and DataQuant, Cognos
– From partners: Hyperion, Business Objects, SAS, IBI
�Performance Management
–IBM Tivoli Omegamon XE for DB2 Performance Expert on z/OS, DB2 Query Monitor, Optimization Service Center (V9)
�Other IBM Information Server Components
–WS Information Analyzer, WS QualityStage
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DB2 for z/OS Enhancements for Data Warehousing� DB2 Version 8
– Usability, Availability & Scalability
– Online Partitioning Changes, More Partitions,
Rotate
– Schema Evolution:
– VSCR with System z 64-bit Architecture
– Data Warehousing Support
– Star Join Improvements
– Materialized Query Tables
– Overall System & Query Performance
– Locking Improvements
– Multi-row INSERT & FETCH
– More index Access for VARCHAR, data type mismatch, …
– DDF Performance Improvements
– zIIP for improved cost of ownership
� DB2 Version 9– Usability, Availability & Scalability
– Universal & Partition by Growth Table
Space
– Clone Tables (Online Load Replace)
– XML
– Data Warehousing Support
– Star Join Improvements (Dynamic Index ANDing)
– SQL Enhancements (RANK, DENSE_RANK, Text, XML, INTERSECT, …)
– Overall System & Query Performance
– TRUNCATE Statement for fast delete, MERGE for insert or update
– Index Compression
– Significant CPU Reduction for DB2 Utilities & many queries
– Insert and update scaling
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DB2 9 for z/OS Update:
� Simplification, Reduced TCO
– Index Compression, Partition By Growth & Cloned tables
� Workload Consolidation– Trusted context and ROLES, Online REBUILD INDEX
� SOA Enablement– pureXML, Optimistic locking for WebSphere
� Dynamic Warehousing– Optimization Service Center, New built-n OLAP expressions
Rapid Adoption Already!
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Specialty engines work together
z/OS LPAR
DWApplicationData
Warehouse Application
not on System z
TCP/IP
The IBM System z9 specialty
engines can run independently or complement each
other
(shown at left, instances where specialty engines can be employed)
Linux on System z LPARDW Application
IFL
TCP/IPHiperSockets
DRDA
DB2
CP
z/OS LPARWAS JAVA DW Application zAAP
TCP/IPHiperSockets
WASApplication
zAAP
zIIP
DRDA
DRDA
StarSchema// query
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System Z Green Credentials
� Environmental Issues are becoming a concern
– Power
– Proliferation of servers increase demand on the external infrastructure
– Cooling
– Heat generated by increase number of servers has to be considered
– Space
– Will the expanding number of servers fit into the available space
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Commercial
� Customer visit of Guogen (Gene)
Zhang,
Database Technology Institute for
z/OS, IBM Silicon Valley Lab
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What is DataQuant
� DataQuant provides a comprehensive query, reporting and data visualization platform for both web and workstation-based
environments.
� DataQuant introduces a wide variety of powerful business intelligence capabilities, from executive dashboards and interactive visual
applications to information-rich graphical reports and ad-hoc querying
and data analysis
.� DataQuant provides 2 components
– DataQuant for Workstation – An Eclipse-based environment for the development of query, report and dashboard solutions
– DataQuant for WebSphere – A runtime environment capable of displaying DataQuant content using a “thin client” model
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IBM DATA QUANT FOR Z/OS� Adds compelling new Warehouse/Business Intelligence component to WH on z� Visual Dashboards, Enhanced Graphical Reporting, Security and
Personalization, SOA Layer, Enhanced Analytics� Offers a “thick” client with DataQuant for Workstation, or a pure HTML, browser
based client with DataQuant for WebSphere
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But wait…
There’s more…
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FIREWALL/ENCRYPTION
FIREWALL/ENCRYPTION
Cognos 8 BI
Portal
Ad Hoc Query
Deep Comparative Analysis
Event Lifecycle Management
Dashboarding & Scorecarding
All Administration
CognosOffice Connection
ROUTER/FIREWALL
WEB SERVERS:
Web Gateways, Web Services API
Industry Standard Portals
Cognos Application Firewall
HTTP Server
WebSphere Portal Workplace
QUERY
SERVICE
JOB SCHEDULING
SERVICE
PRESENT-ATION
SERVICE
CONTENTMANAGER
SERVICE
AUDITSERVICE
METRICSSERVICE
EVENTSERVICE
MONITORINGSERVICE
App. Server
Studio
eMailDistribution
DevelopmentTools
System MgmtJob Scheduling
System x (Win/Linux)
System p (AIX/Linux)
Rose
WebSphere Data/MetaStage
DB2 CubeViews
All RDBMS & OLAP sources
WebSphere Information Integrator (Classic, Content, UIMA)
Reporting & Analysis
Data Warehouse
CONTENT & METRICS STORE
DB2 UDB
SECURITY PROVIDERSLDAP, Active Directory, NTLM, Netegrity, SAPBW, Cognos Namespace, Custom Providers
Directory ServerAccess Manager
AUDITRDBMS, UNIX, Sys, Logs,NT Event Log
System Monitoring
DB2 UDB
SQL MDX COMMON METADATA
Cognos 8 BI for Information Management
Business Analysis
Business Metrics
Business Performance Management
Design
Implementation
Optimization
Outsourcing – Insurance Industry
& IBM Software
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IBM Cognos 8 Business Intelligence (BI) for System z
� This will be an entirely new offering for the System z platform with a
target availability of the second half of 2008.
� Cognos 8 BI for System z combines the targeted information delivery and analysis capabilities of Cognos 8 BI with the power and
reliability of System z to:
– Enable organizations to report and analyze hundred of millions of transactions directly on the mainframe.
– Ensure everyone across the organization can quickly identify and respond to critical business trends.
– Provide a competitive advantage through improved decision making from business data.
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DB2 9 for z/OS Value Unit Edition (VUE)New Workload Offering available OTC
� Drive Net New Workload Growth in new and existing DB2 for z/OS customers by
– Offering customers DB2 9 as OTC for qualified net new workloads on z/OS
– Net new workloads limited to commercial (packaged) applications, data
warehouses, and WebSphere. Applications running on a measurable
standalone machine or LPAR.
– Customers can now add new applications and workload to System z without
affecting their MLC cost.
� Strengthens System z role as a cornerstone for new applications and projects such as SOA, data warehousing, operational BI, ERP, and more
Steve Mink
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IBM Information Server for System zBenefits of this architecture
– Greater Efficiency Leveraging System z
– z/OS MIPs consumption dramatically reduced vs. USS or MVS approaches
– Minimizes impact on other z/OS software costs
– All Job Processing is on zLinux (except the z/OS data access)
– DB2 workload on z/OS can qualify for offload to ZIIP specialty engines
– High performance z data connectivity
– Batch Pipes for DB2 load, DRDA to DB2 over hipersockets
– SQL to Classic over hipersockets
– Integration with MQ and therefore with the Data Event Publishers
– Seamless integration with other IBM Information Server platforms
– Same operational architecture and metadata Repository
– Eliminates deployment issues
– Maintains value of DataStage for z/OS investments
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What else is coming for DW on z?
� SHORT TERM– DB2 9
– Even more DB2 compatibility– Warehouse, reporting & optimizer enhancements
– BCU Methodology (Sizing Tool, Best Practices)
– InfoSphere Master Data Management Server for Linux on System z
� MEDIUM TERM – 1 to 1 1/2 YEARS– Shark
– Large table scans pushed down to Shark– Better price/performance
– Additional Support for DW on z
– MQT Advisor
– Cube Views support– Common Web-based Admin Console– Alphablox on Linux on z
� LONGER TERM– Additional capabilities supporting DW on z
– Data Mining– DWE Design Studio IDE
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DW on System z Support Initiatives
� BI Sizing Tool for System z
– Target availability via Techline early 2H07
– Input: Txn rates for 5 different txn profiles & DW raw data size
– Output: CPU requirements (including zIIP estimate) plus guidelines for memory and storage
� DW on System z Best Practices Guidance
– Target V1 end of 2Q07 (will be track on IOD 2008)
– Recommended Architecture & Components
– DB2 Configuration & Tuning Guidance
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And drive carefully out there...