Part III - Information Systems

• Published in: Pragmatic Enterprise Architecture pp. 57 - 188
• Main Author: Luisi BA, James
• Format: Book Chapter
• Language: English
• Published: United States Elsevier Inc 2014; Elsevier Science & Technology
• Subjects: 10-K; 10-Q; 20-F; 6-K; 8-K; ACID; ad hoc deployment; address geocoding; adiabatic; advanced search; after tax implications; aggregates; AGLC; airfare; Akiban; algorithm based; algorithmic approaches; AML; AMPP; analytical pattern; analyze all business initiative types; analyze business direction; analyze business pain points; analyze overlapping automation; analyze types of technological issues; anti-money laundering; Apache Software Foundation; APM; application architecture; application architecture design patterns; application impact; application portfolio architecture; applications; applications architecture; AQC; architectural standards; architecture governance life cycle; architecture ROI framework; array language; ASF; assembly language; assess business alignment; association discoveries; asymmetric massively parallel processing; atomicity; Auditing; automation supporting divested capabilities; B2B; B2C; Bank Secrecy Act; Basel II; Basho Riak; batch analysis; batch analytics; BI Architecture; Big Data; Big Data accelerators; Big Data architecture; Big Data deployment; Big Data ecosystem; Big Data is use case driven; Big Data the future; BigTable; blackboard pattern; Blocked Persons List; Boolean SAT; BPM technology; BPMN; BSA; bubbles; build; business architecture; business capabilities; business compliance; business designated access rights; business document management; business impact; business intelligence; Business mathematics & systems; business metadata; business rules; cartography; Cassandra; CEP; CFTC; CFTC Interim Compliant Identifier; Chief Customer Officer; CICI; CIP; Citus Data; class discoveries; client libraries; Cloudera; cluster diagrams; Clustrix; cockpit gauges; code breaking; Columbian; columnar; command line interfaces; Committee of Sponsoring Organizations of the Treadway Commission; Commodity Futures Trading Commission; compare data landscapes; competing Hadoop frameworks; compiled language; compiler; complex event processing; Compliance; compliance architecture; compliance metadata; Comprehensive R Archive Network; compression; conceptual data architecture; conceptual data modeling; concurrent users; configuration management metadata; connectivity diagrams; consistency; content management; control systems architecture; corporate restructuring life cycle; COSO; Couchbase; CPU; CRAN; CRLC; cross data landscape metrics; cross-discipline capabilities; cryptography; customer document management; Customer Identification Program; customers; D-Wave; data acquisition; data analysis; data center consolidation; data center consolidation life cycle; data centric life cycle; data cleansing; data communication pattern; data discovery; data governance life cycle; data governance metadata; data integration; data manipulation language; data mart; data mining; data persistence layer metadata; data profiling; data requirements; data security; data standardization; data virtualization layer; data visualization; data visualization styles; data warehouse; data warehouse architecture; data warehousing; Database programming; DCCLC; DCLC; Debarred Parties List; decommission; decommissioning metadata; define RIM business data; Denied Entities List; Denied Persons List; deployment; detach general ledger; detail analysis; DFS; DGLC; dimensions; directory services metadata; distributed file system; distribution pattern; divestiture life cycle; DLC; document management; document management/content management; Dodd-Frank; DOLAP; downsize automation; downsize business operations; downsize IT operations; drag-and-drop self-service; DTC; DTCC; durability; e-Commerce; ecosystem administrator metadata; EEOA; EFTA; enhanced technology portfolio management; enterprise architects; enterprise architecture; enterprise service bus; Equal Employment Opportunity Act; error handling; ESB; ETL; event-driven pattern; external data discovery; extract transform and load; Fair Isaac’s; FBI’s Most Wanted; Federal Trade Commission; fewer features; file transfer protocol; financial compliance; Financial Stability Board; first-generation language; floor plans; forecasting; FOSS; fourth-generation language; frameworks; free software foundation; free space; frequency of updates; FSB; FSF; FTC; FTP; gate model; general ledger integration; geographic information system; Geotime; GFMA; GFS; GIS; Global Financial Markets Association; Global Watch List; Google; Google Spanner; Governance Risk and Compliance; government archival records; GPFS; graph DB; graph modeling; GRC; Greenplum; grouping and aggregation; Hadoop; Hadoop HBase; Hadoop HDFS; Hbase; HDFS; HDSF; heat maps; hedgehog principle; high-level analysis; histograms; Hive; HNC; HOLAP; Hortonworks; HP Vertica; HR compliance; hub and spoke; Huffman; IBM; identify acquired automation; identify automation impact; identify business organization impact; identify business scope being acquired; identify dedicated operations; identify development environment impact; identify divested business capabilities; identify IT organization impact; identify legal holds; identify RIM data; identify scope of business being divested; identify shared operations; identify unstructured data of divested areas; identifying correlations in genetic code; identifying data points; Impala; implement automation strategy; inbound metadata; inception; information systems architecture; infrastructure impact; ingestion metadata; initial architecture review; insourcing life cycle; integration architecture; integration pattern; Intel; interactive pattern; internal data discovery; internal rate of return; International Swaps and Derivatives Association; interpreted language; intersection and difference; investors; IRR; ISDA; ISLC; ISO 17799; ISO 27000; ISO/IEC 12207; isolation; IT compliance; IT document management; Josephson junction; Kelvin; know your client; knowledge management; KYC; labeling images and objects within images; LDA; LDAP; Legal; legal and compliance oversight; legal compliance; Legal Entity Identifier; legal hold; LEI; life cycle; life cycle architecture; lifecycle metadata; lifetime value; linear measures event modeling; lodging; logical data architecture; logical data modeling; logical design; longitudinal analysis; LTV; Lucidworks; Luisi Prime Numbers; LZ77; LZ78; machine learning for problem solving (aka self-programming); MALC; MapR; MapReduce; MarkLogic; mashup architecture; mashup technology; massively parallel processing; matrix vector multiplication; merger and acquisition life cycle; mergers and acquisitions; message dissemination pattern; metadata; metadata summary; Microsoft; MOLAP; MongoDB; MPP; MV pattern; National Securities Clearing Corporation; natural language processing; Neo4j; net present value; Netezza; neural nets; neural networks; New SQL; NewSQL; niobium; NLP; node; nonstatistical analysis; nonstatistical models; NoSQL; novelty discoveries; NPV; NSCC; NuoDB; object-oriented language; OCC; ODS; OFAC; OFCCP; Office of Federal Contract Compliance Programs; Office of Foreign Assets Control; Office of the Comptroller of the Currency; OLAP; OLC; OldSQL; OLTP; online analytical processing; online transaction processing; online transaction processing systems; OOA; operational data store; operational workflow impact; operations architecture; operations life cycle; operations metadata; Oracle Spatial; organizing technologies into portfolios; OSLC; outbound metadata; outsourcing life cycle; outsourcing partners; parallel and distributed processing; partner integration; PEP; personnel impact; personnel severance costs; physical data modeling; physical design; Pig; pipe and filter; pipeline pattern; Politically Exposed Persons; polynomial; populating business data glossary; post-implementation; PostGIS; postmortem architecture review; predict behavior; predictive analytics; prime number generation; procedural language; procedural pattern; processing pattern; production; production to nonproduction data movement; proprietary hardware; quantum computing; quantum error correction; quantum processor; qubit; query language; R extensions; R Language; R Programming Language; radar diagrams; real-time analytics; records information management; reduced code set that eliminates large amounts of DBMS code; reducer size and replication rates; Regulation E of the Electronic Fund Transfer Act; regulators; relational algebraic operations; relational database technology in Hadoop; report and querying; reporting architecture; requirements traceability; resource sequence pattern; right-size automation; right-size business operations; right-size IT operations; RIM; ROLAP; rollups; rose charts; routes; routing; RTOLAP; rules engine; safeguard legal hold data; safeguard RIM data; SAP Hana; SAPI interface; SAR; Sarbanes Oxley; SAS; SAS complex event processing; scatter plots; scripting language; SDLC; search and discovery; SEC; second-generation language; Section 314(a); secure canned reporting data points; Securities and Exchange Commission; selections and projections; self-service; semistructured data; service-oriented architecture; shareholders; shelf layouts; similarity joins; singular application; SMP; SOA; Society for the Worldwide Interbank Financial Telecommunication; software development life cycle; software reuse; Solr; solution architect; Solvency II; SOX; Splice Machine; Splunk; SQL; SQLFire; Sqoop; stakeholder metadata; stakeholders; statistical methods; stem and leaf plots; stimulus-response predictive models; structured data; subject matter expert; survey sampling models; suspicious activity report; SWIFT; symmetric multiprocessing; Syncsort; systems architecture; Targeted Countries List; team metadata; technology categories; technology metadata; technology portfolio management; technology subcategories; Teradata; terrain maps; Tesla; testing a scientific hypothesis; There is no magic; third-generation language; tier pattern; titanium; topological; TPM; traveling salesman problem; Treasury department; treaty zone; union; United and Strengthening America by Providing Appropriate Tools Required to Intercept and Obstruct Terrorism; unstructured data; USA PATRIOT Act; usage pattern; use case driven; use case planning; use case requirements; user acceptance; validate legal hold reporting; validate RIM reporting; validation; variety; vector language; velocity; vendor impact; VoltDB; volume; Ward Systems; WOLAP; workflow architecture; workflow automation; workflow metadata; XBRL; ISLC; AGLC; business rules; 10-K; systems architecture; heat maps; DFS; Big Data deployment; Committee of Sponsoring Organizations of the Treadway Commission; integration pattern; Office of the Comptroller of the Currency; financial compliance; IT compliance; OFAC; external data discovery; identify scope of business being divested; histograms; CFTC Interim Compliant Identifier; identify business organization impact; Treasury department; Hadoop; cross-discipline capabilities; SQLFire; cartography; blackboard pattern; CEP; SEC; 10-Q; R Programming Language; Tesla; bubbles; compression; Global Watch List; insourcing life cycle; data center consolidation; populating business data glossary; Greenplum; inbound metadata; Global Financial Markets Association; R Language; real-time analytics; document management; IRR; Big Data architecture; algorithmic approaches; search and discovery; Auditing; identifying correlations in genetic code; NoSQL; ISO 27000; online transaction processing systems; customers; Big Data accelerators; proprietary hardware; operations architecture; Denied Persons List; 20-F; interpreted language; post-implementation; compliance metadata; address geocoding; assess business alignment; union; right-size business operations; HDSF; SAS complex event processing; configuration management metadata; hub and spoke; linear measures event modeling; 6-K; grouping and aggregation; Dodd-Frank; Commodity Futures Trading Commission; decommission; enhanced technology portfolio management; analyze types of technological issues; distributed file system; automation supporting divested capabilities; Netezza; DM; Intel; DW; Luisi Prime Numbers; Governance Risk and Compliance; KYC; vector language; logical design; outsourcing partners; cockpit gauges; ACID; airfare; rules engine; cryptography; CIP; application architecture; Impala; third-generation language; volume; floor plans; connectivity diagrams; HR compliance; internal rate of return; GRC; MongoDB; DLC; RTOLAP; competing Hadoop frameworks; workflow metadata; business architecture; NSCC; CRAN; enterprise architects; production; data mining; intersection and difference; FOSS; metadata summary; use case requirements; LZ78; regulators; LZ77; ingestion metadata; architecture governance life cycle; columnar; DTCC; singular application; postmortem architecture review; graph modeling; compiler; lodging; data security; USA PATRIOT Act; analyze all business initiative types; hedgehog principle; Regulation E of the Electronic Fund Transfer Act; Teradata; OCC; SAP Hana; testing a scientific hypothesis; RIM; data communication pattern; unstructured data; PEP; MOLAP; Apache Software Foundation; neural networks; inception; operations life cycle; outbound metadata; investors; infrastructure impact; records information management; machine learning for problem solving (aka self-programming); data virtualization layer; identify development environment impact; stem and leaf plots; Kelvin; FSB; workflow architecture; procedural pattern; PostGIS; FSF; There is no magic; complex event processing; data centric life cycle; Microsoft; Debarred Parties List; validate legal hold reporting; validation; ODS; Google; Solr; DGLC; IP; isolation; Columbian; cross data landscape metrics; online transaction processing; ecosystem administrator metadata; stakeholder metadata; FTC; SMP; document management/content management; aggregates; relational database technology in Hadoop; personnel severance costs; OLTP; statistical methods; quantum processor; internal data discovery; analyze business direction; FTP; identify acquired automation; SWIFT; TPM; asymmetric massively parallel processing; ad hoc deployment; ESB; niobium; identify IT organization impact; after tax implications; customer document management; Federal Trade Commission; deployment; Section 314(a); atomicity; NuoDB; SOA; suspicious activity report; applications architecture; identify RIM data; matrix vector multiplication; divestiture life cycle; subject matter expert; quantum error correction; Pig; graph DB; command line interfaces; control systems architecture; report and querying; polynomial; stimulus-response predictive models; symmetric multiprocessing; use case driven; query language; topological; ETL; code breaking; SOX; identify divested business capabilities; analyze business pain points; business compliance; Targeted Countries List; CPU; nonstatistical analysis; business intelligence; rollups; team metadata; mashup architecture; Securities and Exchange Commission; massively parallel processing; vendor impact; compliance architecture; similarity joins; cluster diagrams; Oracle Spatial; data profiling; AML; operational data store; data persistence layer metadata; detach general ledger; organizing technologies into portfolios; D-Wave; SQL; data visualization styles; Denied Entities List; DTC; Office of Federal Contract Compliance Programs; shelf layouts; reducer size and replication rates; Huffman; free software foundation; client libraries; BigTable; Ward Systems; pipeline pattern; LDA; integration architecture; analyze overlapping automation; Hortonworks; data cleansing; novelty discoveries; batch analysis; free space; detail analysis; predictive analytics; Google Spanner; nonstatistical models; data warehouse architecture; class discoveries; tier pattern; LEI; technology subcategories; Customer Identification Program; data governance life cycle; secure canned reporting data points; APM; assembly language; metadata; physical design; Cloudera; qubit; OLC; logical data modeling; MV pattern; CFTC; BSA; New SQL; B2B; AQC; B2C; MarkLogic; distribution pattern; outsourcing life cycle; physical data modeling; Financial Stability Board; geographic information system; event-driven pattern; processing pattern; corporate restructuring life cycle; HP Vertica; Big Data ecosystem; Basho Riak; frequency of updates; MALC; downsize automation; Blocked Persons List; DCLC; conceptual data architecture; FBI’s Most Wanted; node; CRLC; downsize IT operations; data integration; business capabilities; data warehouse; personnel impact; Josephson junction; first-generation language; architecture ROI framework; general ledger integration; safeguard RIM data; stakeholders; routing; EEOA; NLP; structured data; Splice Machine; International Swaps and Derivatives Association; ASF; Neo4j; variety; IBM; radar diagrams; Equal Employment Opportunity Act; Boolean SAT; OOA; semistructured data; solution architect; natural language processing; forecasting; enterprise architecture; BPMN; Fair Isaac’s; downsize business operations; fewer features; neural nets; OSLC; operational workflow impact; merger and acquisition life cycle; Compliance; requirements traceability; survey sampling models; Comprehensive R Archive Network; safeguard legal hold data; extract transform and load; Basel II; Society for the Worldwide Interbank Financial Telecommunication; XBRL; content management; MapReduce; GFMA; enterprise service bus; identify shared operations; Hadoop HBase; United and Strengthening America by Providing Appropriate Tools Required to Intercept and Obstruct Terrorism; business metadata; service-oriented architecture; software reuse; conceptual data modeling; analytical pattern; durability; OldSQL; resource sequence pattern; application portfolio architecture; second-generation language; Politically Exposed Persons; right-size IT operations; Sarbanes Oxley; MapR; directory services metadata; gate model; anti-money laundering; ROLAP; advanced search; labeling images and objects within images; define RIM business data; selections and projections; OFCCP; business impact; Legal; Cassandra; data warehousing; ISO/IEC 12207; NewSQL; information systems architecture; Lucidworks; NPV; Clustrix; legal hold; legal and compliance oversight; predict behavior; architectural drawings; data analysis; Solvency II; Syncsort; HDFS; OLAP; application architecture design patterns; EFTA; terrain maps; usage pattern; operations metadata; DOLAP; right-size automation; interactive pattern; association discoveries; Splunk; technology portfolio management; lifetime value; applications; identify unstructured data of divested areas; R extensions; BPM technology; array language; scatter plots; frameworks; ISDA; MPP; consistency; HOLAP; fourth-generation language; self-service; prime number generation; life cycle; identify dedicated operations; Big Data; technology metadata; parallel and distributed processing; SAPI interface; AMPP; Citus Data; mashup technology; initial architecture review; net present value; Hbase; adiabatic; business designated access rights; object-oriented language; identifying data points; logical data architecture; longitudinal analysis; production to nonproduction data movement; compare data landscapes; WOLAP; reporting architecture; IT document management; data mart; Akiban; VoltDB; CICI; drag-and-drop self-service; data manipulation language; application impact; GFS; identify legal holds; GPFS; lifecycle metadata; compiled language; data acquisition; procedural language; shareholders; technology categories; pipe and filter; batch analytics; Office of Foreign Assets Control; use case planning; Bank Secrecy Act; quantum computing; Big Data the future; error handling; dimensions; scripting language; LDAP; Big Data is use case driven; life cycle architecture; e-Commerce; routes; software development life cycle; high-level analysis; legal compliance; Sqoop; workflow automation; know your client; Hadoop HDFS; identify business scope being acquired; traveling salesman problem; BI Architecture; rose charts; relational algebraic operations; Legal Entity Identifier; National Securities Clearing Corporation; mergers and acquisitions; partner integration; SDLC; data requirements; online analytical processing; GIS; Hive; government archival records; file transfer protocol; SAS; Couchbase; SAR; titanium; DCCLC; concurrent users; identify automation impact; knowledge management; data governance metadata; ISO 17799; LTV; message dissemination pattern; COSO; architectural standards; algorithm based; data discovery; data standardization; data visualization; reduced code set that eliminates large amounts of DBMS code; velocity; decommissioning metadata; data center consolidation life cycle; implement automation strategy; build; 8-K; Geotime; Chief Customer Officer; business document management; HNC; user acceptance; validate RIM reporting; treaty zone
• ISBN: 9780128002056; 0128005025; 9780128005026; 0128002050
• DOI: 10.1016/B978-0-12-800205-6.00003-2

This part enters into the main territory of enterprise architecture for information systems which is as rich in technology specialties as the IT ecosystem is diverse. Most organizations fail to recognize the need for diverse specialization within architecture because they fail to understand the depth of complexity and the costs associated with mediocrity within each area of specialization. They also believe that a general practioner, which we will call a solution architect, is qualified and appropriate to address the complexities across a wide array of technology areas. In reality, this is equivalent to staffing a medical center primarily with general practioners that act as the specialists. A healthy organization maintains top specialists with which the general practioners can participate in getting expertise that is in alignment with a future state vision that reduces complexity and costs.