Life Cycle Management Multi-stakeholder Collaborative Initiatives Summary The following significant gaps exist in standards to support the Big Data Reference Architecture described in this document: Support for Data Store Registry and Location services Support for a standard way to query, summarize, and retrieve data across disparate data stores ???? Features and Technology Readiness Technology Readiness Author: Dan The technological readiness for Big Data serves as metric useful in assessing both the overall maturity of a technology across all implementers as well as the readiness of a technology for broad use within an organization. Technology readiness evaluates readiness types in a manner similar to that of technology readiness in Service-Oriented Architectures (SOA). However, the scale of readiness is adapted to better mimic the growth of open source technologies, notably those which follow models similar to the Apache Software Foundation (ASF). Figure 1 provides a superimposition of the readiness scale on a widely recognized "hype curve." This ensures that organizations which have successfully evaluated and adopted aspects of SOA can apply similar processes to assessing and deploying Big Data technologies. Types of Readiness Architecture: Capabilities concerning the overall architecture of the technology and some parts of the underlying infrastructure Deployment: Capabilities concerning the architecture realization infrastructure deployment, and tools Capabilities concerning information management: data models, message formats, Information: master data management, etc. Operations, Administration and Management: Capabilities concerning post-deployment management and administration of the technology Scale of Technological Readiness Emerging Technology is largely still in research and development Access is limited to the developers of the technology Research is largely being conducted within academic or commercial laboratories Scalability of the technology is not assessed Incubating Technology is functional outside laboratory environments
Life Cycle Management Multi-stakeholder Collaborative Initiatives Summary The following significant gaps exist in standards to support the Big Data Reference Architecture described in this document: Support for Data Store Registry and Location services Support for a standard way to query, summarize, and retrieve data across disparate data stores ???? Features and Technology Readiness Technology Readiness Author: Dan The technological readiness for Big Data serves as metric useful in assessing both the overall maturity of a technology across all implementers as well as the readiness of a technology for broad use within an organization. Technology readiness evaluates readiness types in a manner similar to that of technology readiness in Service-Oriented Architectures (SOA). However, the scale of readiness is adapted to better mimic the growth of open source technologies, notably those which follow models similar to the Apache Software Foundation (ASF). Figure 1 provides a superimposition of the readiness scale on a widely recognized "hype curve." This ensures that organizations which have successfully evaluated and adopted aspects of SOA can apply similar processes to assessing and deploying Big Data technologies. Types of Readiness Architecture: Capabilities concerning the overall architecture of the technology and some parts of the underlying infrastructure Deployment: Capabilities concerning the architecture realization infrastructure deployment, and tools Information: Capabilities concerning information management: data models, message formats, master data management, etc. Operations, Administration and Management: Capabilities concerning post-deployment management and administration of the technology Scale of Technological Readiness Emerging Technology is largely still in research and development Access is limited to the developers of the technology Research is largely being conducted within academic or commercial laboratories Scalability of the technology is not assessed Incubating Technology is functional outside laboratory environments