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Oracle BAM 11gR1 Handbook

Oracle BAM 11gR1 Handbook

By : Pete Wang
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Oracle BAM 11gR1 Handbook

Oracle BAM 11gR1 Handbook

4 (7)
By: Pete Wang

Overview of this book

An integral component of Oracle SOA and BPM Suite, Oracle BAM (Business Activity Monitoring) ultimately empowers business executives to react quickly to changing business situations. BAM enables business service and process monitoring through real-time data streaming and operational reports, and this book helps you to take advantage of this vital tool with best practice guidance for building a BAM project."Oracle BAM 11gR1 Handbook" is an essential companion for advancing your BAM knowledge, with troubleshooting and performance tuning tips to guide you in building BAM applications. The book uses step-by-step instructions alongside a real world demo project to steer you through the pitfalls of report and application development. Packed with best practices, you'll learn about BAM migration, HA configuration and much more."Oracle BAM 11gR1 Handbook" comprises a myriad of best practices for building real-time operational dashboards, reports and alerts. The book dives straight into the architecture of Oracle BAM 11g, before moving swiftly onto concepts like managing BAM server securities, populating Data Objects and performing load testing. Later on you'll also learn about BAM migration and building an ADF-based report, plus much more that you won't want to miss. For focusing in on best practices for this integral tool within Oracle SOA and BPM Suite, "Oracle BAM 11gR1 Handbook" is the perfect guide for the job.
Table of Contents (18 chapters)
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Oracle BAM 11gR1 Handbook
Credits
Foreword
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface

Testing BAM Data Objects


In BAM applications, everything revolves around data and Active Data processing. Business users may rely on the Active Data movement in real time to make decisions. Therefore, timeliness and accuracy of data becomes very critical for the usability of the system.

From a quality assurance perspective, the key objective of testing Data Objects is to ensure a high level of data quality, such as data accuracy and consistency. Examples of data quality issues include:

  • Duplicate data or incomplete data extracted from data source

  • Data losses

  • Incorrect calculations or aggregations

  • Incorrect lookup values through Data Object lookup methods

Preparing test data

Business data can be moved from various data sources (BPEL processes, SOA composites, JMS destinations, and Web services, and so on) to Oracle BAM. As different data sources can have different requirements for data formats, you need to prepare the test data for each data source from which the business data are extracted.

The...

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