TWS Education
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Jobtext
Types with Tivoli
Workload Scheduler for
Applications 8.6
Agenda
 Introduction
 Business Intelligence at a glance
 TWS as integration platform for BI processes
 New Excutors
 Cognos
 DataStage
 Informatica
 BigInsigths
Introduction
With TWS for Applications 8.6 you can schedule Business
Intelligence workloads
Why is Big Intelligence important?
Data AVAILABLE to an
organization
data an organization can
PROCESS
Organizations are able to
process less and less of the
available data.
4
Enterprises are “more blind”
to new opportunities.
What can you do with Business Intelligence ?
Financial Services
 Fraud detection
 Risk management
 360° View of the Customer
Transportation
 Weather and traffic
impact on logistics and
fuel consumption
Health & Life Sciences
 Epidemic early warning
system
 ICU monitoring
 Remote healthcare monitoring
Telecommunications




CDR processing
Churn prediction
Geomapping / marketing
Network monitoring
Utilities
 Weather impact analysis on
power generation
 Transmission monitoring
 Smart grid management
IT
 Transition log analysis
for multiple
transactional systems
 Cybersecurity
Retail
 360° View of the Customer
 Click-stream analysis
 Real-time promotions
Law Enforcement
 Real-time multimodal surveillance
 Situational awareness
 Cyber security detection
The Business Intelligence Data Platform
InfoSphere BigInsights
Hadoop-based low latency
analytics for variety and volume
Hadoop
InfoSphere Information
Server
Information
Integration
Stream
Computing
InfoSphere Streams
Low Latency Analytics for
streaming data
High volume data integration and
transformation
MPP Data Warehouse
IBM InfoSphere
Warehouse
IBM Netezza High
Capacity Appliance
Large volume
structured data
analytics
Queryable Archive
Structured Data
IBM Netezza 1000
BI+Ad Hoc Analytics Structured
Data
IBM Smart Analytics
System
Operational Analytics on
Structured Data
IBM Informix Timeseries
Time-structured analytics
Integrating Big Data will unlock new insights
Traditional Approach
New Approach
Structured, analytical, logical
Creative, holistic thought, intuition
Hadoop
Hadoop
Structured
Repeatable
Linear
Monthly sales reports
Profitability analysis
Customer surveys
Unstructured
Exploratory
Iterative
Brand sentiment
Product strategy
Maximum asset utilization
Big Data Shouldn’t Be a Silo. It must be an integrated part of your enterprise information architecture
Business Intelligence as part of Enterprise Workflows
Native OS
RDBMS
Applications
Infrastructure
Enterprise
Integration
WebServices
JMS
Advanced Workloads Framework
TDWC 8.6
zOS Connector
(available also for zWAS)
TWS 8.6
Master
TWS 8.6
Controller
TWA supports pluggable
Job Executors,
implemented as OSGI
bundles
Dynamic Agent
JOB definitions are stored
as XML files in the JCL
library. Even if direct
editing is possible,
recommended primary
user interface is TDWC.
The Big Data Platform
TWS for BigInsights
InfoSphere BigInsights
Hadoop-based low latency
analytics for variety and volume
TWS for InfoSphere Datastage
TWS for Informatica * Not an IBMSW
InfoSphere Information
Server
High volume data integration and
transformation
Hadoop
Information
Integration
TWS for Cognos
reporting
Stream
Computing
InfoSphere Streams
Low Latency Analytics for
streaming data
MPP Data Warehouse
IBM InfoSphere
Warehouse
IBM Netezza High
Capacity Appliance
Large volume
structured data
analytics
Queryable Archive
Structured Data
IBM Netezza 1000
BI+Ad Hoc Analytics Structured
Data
IBM Smart Analytics
System
Operational Analytics on
Structured Data
TWS for Netezza (*)
Platform LSF Integration (*)
* Not yet available
IBM Informix Timeseri
Time-structured analytic
BigInsights Integration
BigInsights UI
TDWC
11
Cognos Integration
Cognos UI
TDWC
12
DataStage Integration
DataStage UI
TDWC
13
Informatica Integration
Informatica UI
TDWC
14