TIBCO Business Events (BE) Online Training institute

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DEVELOPING CEP SOLUTIONS WITH TIBCO BUSINESSEVENTS 5.X
Unit 1 Introducing TIBCO Business Events Unit 2 Business Case For Order Track and Trace Current Implementation Current Situation Limitations Business Objectives Solution: High Level View Business Scenarios Best Practices Summary Unit 3 Events and Channels Events in an Enterprise Defining Events in BusinessEvents Event Channel Using BusinessEvents Studio Channel Configuration Event Configuration Event Payloads vs. Event Properties Using Global Variables Review Track and Trace Process Flow Lab A Configure Event, Channel and Rules Unit 4 Concepts and Scorecards Data Models: Concepts Concept Properties Concept Relationships Database Concepts

Scorecard Events and Concepts Compared Generating XML Schemas Review Track and Trace Process Flow Lab B Create Concepts and Scorecards Lab B - Exercise 1: Create Concepts Lab B - Exercise 2: Add a Scorecard Unit 5 Designing Rules Events and Rules Types of Events How Rules Work BusinessEvents Rule Editor Rule Language Anatomy of a Rule Rule Terms and Aliases Rule Conditions Rule Actions Concept Instantiation Ontology Functions Mapping Data Rule Functions Functions Registry Rule Design Considerations Lab C Instantiating Concepts Lab C - Exercise 1: Instantiate the OrderTxn Concept Lab C - Exercise 2: Instantiate Customer and Order Concepts Unit 6 Configuring Projects for Testing BusinessEvents Components Cluster Deployment Descriptor (CDD) File Agent Classes and Processing Units Collections and Log Configurations Relating Elements of a CDD Building a CDD File

Enabling Channel Destinations BE Engine Object Management Relating CDD to EAR File Defining a Debug Configuration Testing With Debugger Lab D Testing the BE Project Lab D - Exercise 1: Build a CDD File and EAR Lab D - Exercise 2: Test Your Project with the Debugger Lab D - Exercise 3: Configuring Breakpoints Unit 7 Analyzing Projects with BE Diagrams BE Diagrams Entity Project Diagrams Diagram Tools Lab E BE Diagrams Lab E - Exercise 1: Working With BE Diagrams Unit 8 Rule Inferencing and Agenda Inbound and Outbound Events Mapping Messages to Inbound Events Creating and Sending BE Events Outbound Events Rules Triggering Rules Explicit Trigger: BE Firing an Event TimeEvents Advisory Events Implicit Trigger: Rule Inferencing How the Inference Engine Works Event Preprocessor BE Implements Optimized Rete Rule Agenda Rule Priority Forward Chaining Lab F Implement Rule Inferencing Lab F - Exercise 1: Update Account Level and Shipping Priority

Lab F - Exercise 2: Test Rule Inferencing Unit 9 Implementing Fraud Detection Detecting Patterns Other Fraud Scenarios Designing Rules Best Practice: Rule Optimization Best Practice: Rule Execution Configuring Rule Ranking Lab G Business Case: Fraud Dectection Lab G - Exercise 1: Define Fraud Detection Rules Lab G - Exercise 2: Configure Your Project for Testing Lab G - Exercise 3: Testing Your Solution Lab G - Exercise 4: Control Rule Execution Unit 10 Rules as Web Services Rules as Web Services Web Service Options Top Down Approach Bottom Up Approach Adding Channel and Destinations Define IN and OUT Events Configure Rule Functions Implement Reply to SOAP Request Generate Concrete WSDL BE As a Web Service Client Project Library Lab H Expose BE as a Web Service Lab H - Exercise 1: Configure project with required components Lab H - Exercise 2: Create a BE Web Service Client Lab H - Exercise 3: Test the Web Service Lab H - Exercise 4: OPTIONAL - Create a Client in Designer Unit 11 Building Business Rules Decision Manager Decision Manager User Interface

Virtual Rule Functions Calling Virtual Functions Adding a Decision Table Conditions and Actions Defining Rules Validating Decision Tables Testing Decision Tables Table Analyzer Decision Table Properties Lab I Working With Decision Manager Lab I - Exercise 1: Define BE Rules to Activate Decision Manager Lab I - Exercise 2: Create a Decision Table Lab I - Exercise 3: Testing a Decision Rule Unit 12 Data Management with State Machine State Modeler State Machine Definition State Entry and Exit Actions State Timeouts State Transition Rules State Machine Types State Types Composite States Concurrent States State Machine Implementation Details State Machine Uses State Machine Examples Lab J Create a Simple State Machine Lab J - Exercise 1: Prepare Project Lab J - Exercise 2: Create Simple State Machine Lab J - Exercise 3: Test the State Machine Lab J - Exercise 4: Testing Asynchronous Transaction Processing Lab J - Exercise 5: Extend the Simple State Machine (Optional) Unit 13 Predictability Using EPM Introduction to Pattern Matcher Pattern Matcher Features

Pattern Matcher Components How Pattern Matcher Works Pattern Language Grammar Example Correlating Events Specifying Event Sequence Temporal/Time -Based Constraints Time-Based Construct Example Using EPL: An API Overview Step 1: Pattern Definition and Registration Step 2: Define Listeners, Deploy Pattern Step 3: Sending Events to Patterns Success and Failure Listeners Lab K Detecting Events with Pattern Matcher Lab K - Exercise 1: Configure Events and Channels Lab K - Exercise 2: Define an Event Pattern and Listeners Lab K - Exercise 3: Define Rules to Send Events Lab K - Exercise 4: Test Events and Rules Lab K - Exercise 5: Working with Temporal Constructs Unit 14 Deploying to a TIBCO Domain Deployment Options Deployment Steps - Overview TIBCO Administration Domain Pre-Deployment Tasks Application Deployment in Administrator Configuring Deployment Details BusinessEvents Engine Components Tracing an Engine Instance Stand Alone Deployment - BEMM BEMM Features BEMM Components Lab L Deploying CEP Solutions Lab L - Exercise 1: Configure BE Engine Properties Lab L - Exercise 2: Deploy to a TIBCO Domain

Unit 15 Object Management Object Management In-Memory Object Management Cache Based Object Management Built-In Cache Provider Scalability Using Multiple Cache Servers Defining Cache Object Management Object Storage in Cache Mode Cache Only Storage Cache + Memory Storage Memory Only Storage Backing Store Unit 16 Introduction To Query Agents Types of BusinessEvents Engines Introducing Query Agent Query Language Syntax Types of Queries Defining a Query Working with Result Sets Configuring CDD - Agents Configuring CDD - Processing Units Running Query Agents Engine Discovery BQL Tool Feature Comparison Lab M Configuring Query Agents Lab M - Exercise 1: Configure Project For Query Agent Lab M - Exercise 2: Define a Snapshot Query Lab M - Exercise 3: Configure Query and Cache Agents Lab M - Exercise 4: Test Query Agent Lab M - Exercise 5: Optional: Query Cache Objects with BQL Unit17 Working with Distributed Cache Unit 18 Introduction to ActiveSpaces

Unit 19 BE Monitoring and Management Unit 20 Performance monitoring Unit 21 Using TIBCO Hawk

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