Click to add text TWA New Job Types with Tivoli Workload Scheduler for Applications 8.6 TWS Education

Agenda Introduction Business Intelligence at a glance TWS as integration platform for BI processes New Excutors  Cognos  DataStage  Informatica  BigInsigths

With TWS for Applications 8.6 you can schedule Business Intelligence workloads Introduction

4 Why is Big Intelligence important? Data AVAILABLE to an organization data an organization can PROCESS Missed opportunity Enterprises are “more blind” to new opportunities. Organizations are able to process less and less of the available data.

5 Utilities  Weather impact analysis on power generation  Transmission monitoring  Smart grid management Retail  360° View of the Customer  Click-stream analysis  Real-time promotions Law Enforcement  Real-time multimodal surveillance  Situational awareness  Cyber security detection Transportation  Weather and traffic impact on logistics and fuel consumption Financial Services  Fraud detection  Risk management  360° View of the Customer IT  Transition log analysis for multiple transactional systems  Cybersecurity Health & Life Sciences  Epidemic early warning system  ICU monitoring  Remote healthcare monitoring Telecommunications  CDR processing  Churn prediction  Geomapping / marketing  Network monitoring What can you do with Business Intelligence ?

The Business Intelligence Data Platform InfoSphere BigInsights Hadoop-based low latency analytics for variety and volume IBM Netezza High Capacity Appliance 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 IBM InfoSphere Warehouse Large volume structured data analytics InfoSphere Streams Low Latency Analytics for streaming data MPP Data Warehouse Stream Computing Information Integration Hadoop InfoSphere Information Server High volume data integration and transformation

Integrating Big Data will unlock new insights Structured Repeatable Linear Unstructured Exploratory Iterative Traditional Approach Structured, analytical, logical New Approach Creative, holistic thought, intuition Monthly sales reports Profitability analysis Customer surveys Brand sentiment Product strategy Maximum asset utilization Hadoop 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 RDBMS JMS WebServices Enterprise Integration Native OS Applications Infrastructure

Advanced Workloads Framework TDWC 8.6 zOS Connector (available also for zWAS) TWS 8.6 Controller 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. TWS 8.6 Master TWA supports pluggable Job Executors, implemented as OSGI bundles Dynamic Agent

The Big Data Platform InfoSphere BigInsights Hadoop-based low latency analytics for variety and volume IBM Netezza High Capacity Appliance 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 IBM InfoSphere Warehouse Large volume structured data analytics InfoSphere Streams Low Latency Analytics for streaming data MPP Data Warehouse Stream Computing Information Integration Hadoop InfoSphere Information Server High volume data integration and transformation TWS for InfoSphere Datastage TWS for Informatica * Not an IBMSW TWS for InfoSphere Datastage TWS for Informatica * Not an IBMSW TWS for BigInsights TWS for Netezza (*) Platform LSF Integration (*) * Not yet available TWS for Netezza (*) Platform LSF Integration (*) * Not yet available TWS for Cognos reporting

11 BigInsights Integration BigInsights UI TDWC

12 Cognos Integration Cognos UI TDWC

13 DataStage Integration DataStage UI TDWC

14 Informatica Integration Informatica UI TDWC