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Transcript
Application of ISO/IEC 11179-5 Based Naming Principles Assist Implementation of Big Data Use Cases
Use Case: Multiple users performing interactive queries and updates on databases with
basic availability
Use Case: Move data from external data sources into a horizontally scalable data store, transform it using
horizontally scalable processing and return it to the horizontally scalable data store (ELT)
Use Case: Extract, process, and move data from a horizontally scalable data store into other
target data stores (e.g Enterprise Data Warehouse or archival data store)
Use Case: Run multiple Big Data Processing (e.g. batch analytics, interactive queries, stream
processing, network analysis) on top of shared horizontally scalable distributive processing
and data store resources
Use Case: Combine data from heterogeneous Cloud databases and non-Cloud data stores for
analytics and data mining
…ETC. Each Use Case exhibits the need for contextualization among
heterogeneous data sets from multiple sources
Application of ISO/IEC 11179-5 Based Naming Principles Assist Implementation of Big Data Use Cases
• The problem: Integration of heterogeneous data to synthesize
useful information. This illustrates the third principle of Big
Data: Variety in the range of data types and sources.
• (Part of) The Solution: Standardized name components are a
means to discovery of matches of similar information from
disparate sources. Examples: Object Class Terms derived from
taxonomies; Representation Terms characterizing the typing
rules.