Download WG2N1944_ISO_IEC_11179-5_Relevance_to_Big_Data

yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Document related concepts

Data Protection Act, 2012 wikipedia, lookup

Big data wikipedia, lookup

Data model wikipedia, lookup

Data center wikipedia, lookup

Database model wikipedia, lookup

Forecasting wikipedia, lookup

Data analysis wikipedia, lookup

Data vault modeling wikipedia, lookup

3D optical data storage wikipedia, lookup

Information privacy law wikipedia, lookup

Business intelligence wikipedia, lookup

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