uCosminexus Stream Data Platform - Application Framework - Contents

HITACHI Inspire The Next

uCosminexus Stream Data Platform - Application Framework

Description

3020-3-V01(E)

Contents

1. What is Stream Data Platform - AF?

1.1 A data processing system that analyzes the "right now"

1.2 Stream Data Platform - AF features

1.2.1 High-speed processing of large sets of time-sequenced data

1.2.2 Summary analysis scenario definitions that require no programming

1.3 Example of Stream Data Platform - AF in use

1.4 Stream Data Platform - AF system configuration and prerequisite programs

1.4.1 System configuration

1.4.2 Prerequisite programs

1.5 Workflow beginning with the introduction of Stream Data Platform - AF

2. Stream Data Processing

2.1 Components used in stream data processing

2.1.1 Stream data

2.1.2 Input and output stream queues

2.1.3 Stream data processing engine

2.1.5 Query group

2.2 Using CQL to process stream data

2.2.1 Using definition CQL to define streams and queries

2.2.2 Using data manipulation CQL to specify operations on stream data

2.3 Implementation examples of using CQL to process stream data

2.3.1 Assumed system

2.3.2 Retrieving data that satisfies a condition

2.3.3 Performing data calculations

2.3.4 Summarizing data

2.3.5 Categorizing and then summarizing data

2.3.6 Joining data streams

2.3.7 Linking queries

3. Exchanging Data

3.1 Types of adaptors used for exchanging data

3.1.1 Standard adaptors

3.1.2 Custom adaptors

3.2 Inputting files

3.3 Inputting HTTP packets

3.4 Filtering records

3.5 Extracting records

3.6 Outputting to files

3.7 Outputting to the dashboard

3.7.1 Flex Dashboard

3.7.2 Display examples

4. Introducing the Manuals in This Series

4.1 Correspondence between user tasks and the manuals in this series

4.2 Overview of manuals in this series

A. Reference Material for This Manual

A.1 Related publications

A.2 Conventions: Abbreviations for product names

A.3 Conventions: Acronyms

A.4 Conventions: KB, MB, GB, and TB

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