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Enterprise Integration Patterns
45,99 € *
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This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book. Backcover Would you like to use a consistent visual notation for drawing integration solutions? Look inside the front cover. Do you want to harness the power of asynchronous systems without getting caught in the pitfalls? See Thinking Asynchronously in the Introduction. Do you want to know which style of application integration is best for your purposes? See Chapter 2, Integration Styles. Do you want to learn techniques for processing messages concurrently? See Chapter 10, Competing Consumers and Message Dispatcher. Do you want to learn how you can track asynchronous messages as they flow across distributed systems? See Chapter 11, Message History and Message Store. Do you want to understand how a system designed using integration patterns can be implemented using Java Web services, .NET message queuing, and a TIBCO-based publish-subscribe architecture? See Chapter 9, Interlude: Composed Messaging. Utilizing years of practical experience, seasoned experts Gregor Hohpe and Bobby Woolf show how asynchronous messaging has proven to be the best strategy for enterprise integration success. However, building and deploying messaging solutions presents a number of problems for developers. Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise. The authors also include examples covering a variety of different integration technologies, such as JMS, MSMQ, TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A case study describing a bond trading system illustrates the patterns in practice, and the book offers a look at emerging standards, as well as insights into what the future of enterprise integration might hold. This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book. 0321200683B09122003 Foreword by John Crupi. Foreword by Martin Fowler. Preface. Acknowledgments. Introduction. 1. Solving Integration Problems Using Patterns. The Need for Integration. Integration Challenges. How Integration Patterns Can Help. The Wide World of Integration. Loose Coupling. One-Minute EAI. A Loosely Coupled Integration Solution. Widgets & Gadgets 'R Us: An Example. Summary. 2. Integration Styles. Introduction. File Transfer (by Martin Fowler). Shared Database (by Martin Fowler). Remote Procedure Invocation (by Martin Fowler). Messaging. 3. Messaging Systems. Introduction. Message Channel. Message. Pipes and Filters. Message Router. Message Translator. Message Endpoint. 4. Messaging Channels. Introduction. Point-to-Point Channel. Publish-Subscribe Channel. Datatype Channel. Invalid Message Channel. Dead Letter Channel. Guaranteed Delivery. Channel Adapter. Messaging Bridge. Message Bus. 5. Message Construction. Introduction. Command Message. Document Message. Event Message. Request-Reply. Return Address. Correlation Identifier. Message Sequence. Message Expiration. Format Indicator. 6. Interlude: Simple Messaging. Introduction. JMS Request-Reply Example. .NET Request-Reply Example. JMS Publish-Subscribe Example. 7. Message Routing. Introduction. Content-Based Router. Message Filter. Dynamic Router. Recipient List. Splitter. Aggregator. Resequencer. Composed Message Processor. Scatter-Gather. Routing Slip. Process Manager. Message Broker. 8. Message Transformation. Introduction. Envelope Wrapper. Content Enricher. Content Filter. Claim Check. Normalizer. Canonical Data Model. 9. Interlude: Composed Messaging. Loan Broker Example. Synchronous Implementation Using Web Services (by Conrad F. D'Cruz). Asynchronous Implementation with MSMQ. Asynchronous Implementation with TIBCO ActiveEnterprise (by Michael J. Rettig). 10. Messaging Endpoints. Introduction. Messaging Gateway. Messaging Mapper. Transactional Client. Polling Consumer. Event-Driven Consumer. Competing Consumers. Message Dispatcher. Selective Consumer. Durable Subscriber. Idempotent Receiver. Service Activator. 11. System Management. Introduction. Control Bus. Detour. Wire Tap. Message History. Message Store. Smart Proxy. Test Message. Channel Purger. 12. Interlude: System Management Example. Loan Broker System Management. 13. Integration Patterns in Practice. Case Study: Bond Pricing System (by Jonathan Simon). 14. Concluding Remarks. Emerging Standards and Futures in Enterprise Integration (by Sean Neville). Bibliography. Index. 0321200683T10062003Would you like to use a consistent visual notation for drawing integration solutions? Look inside the front cover. Do you want to harness the power of asynchronous systems without getting caught in the pitfalls? See Thinking Asynchronously in the Introduction. Do you want to know which style of application integration is best for your purposes? See Chapter 2, Integration Styles. Do you want to learn techniques for processing messages concurrently? See Chapter 10, Competing Consumers and Message Dispatcher. Do you want to learn how you can track asynchronous messages as they flow across distributed systems? See Chapter 11, Message History and Message Store. Do you want to understand how a system designed using integration patterns can be implemented using Java Web services, .NET message queuing, and a TIBCO-based publish-subscribe architecture? See Chapter 9, Interlude: Composed Messaging. Utilizing years of practical experience, seasoned experts Gregor Hohpe and Bobby Woolf show how asynchronous messaging has proven to be the best strategy for enterprise integration success. However, building and deploying messaging solutions presents a number of problems for developers. Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise. The authors also include examples covering a variety of different integration technologies, such as JMS, MSMQ, TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A case study describing a bond trading system illustrates the patterns in practice, and the book offers a look at emerging standards, as well as insights into what the future of enterprise integration might hold. This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book. 0321200683B09122003

Anbieter: buecher
Stand: 28.05.2020
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Cloud Capacity Management
37,44 € *
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Cloud Capacity Management helps readers in understanding what the cloud, IaaS, PaaS, SaaS are, how they relate to capacity planning and management  and which stakeholders are involved in delivering value in the cloud value chain. It explains the role of capacity management for a creator, aggregator, and consumer of cloud services and how to provision for it in a 'pay as you use model'. This involves a high level of abstraction and virtualization to facilitate rapid and on demand provisioning of services. The conventional IT service models take a traditional approach when planning for service capacity to provide optimum services levels which has huge cost implications for service providers. This book addresses the gap areas between traditional capacity management practices and cloud service models. It also showcases capacity management process design and implementation in a cloud computing domain using ITSM best practices. This book is a blend of ITSM best practices and infrastructure capacity planning and optimization implementation in various cloud scenarios. Cloud Capacity Management addresses the basics of cloud computing, its various models, and their impact on capacity planning. This book also highlights the infrastructure capacity management implementation process in a cloud environment showcasing inherent capabilities of tool sets available and the various techniques for capacity planning and performance management. Techniques like dynamic resource scheduling, scaling, load balancing, and clustering etc are explained for implementing capacity management.  

Anbieter: Dodax
Stand: 28.05.2020
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Full Data Controlled Web Based Feed Aggregator
49,00 € *
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Web feed syndication is analogous to electronic newsletters, both are aimed at delivering feeds to subscribers, the difference is that while newsletter subscription requires e-mail and exposed users to spam and several security challenges, feed syndication ensures that subscribers get only what they requested for. This research investigate the state of the art of web feed aggregation technology and the development of a locally hosted or intranet based feed aggregator as a tool for getting news update, research, information sharing, rapid alert, product promotion and advertising using the core features of WordPress, the software was further enhanced with plugins and widgets for user management, dynamic content publishing, database and object caching, social web syndication, mobile device detection, back-up and maintenance. The results highlight the current developments in software re-use and describes, how open source content management systems can be used for both online and offline publishing, a means whereby feed aggregator users can control and share feed data, as well as how web developers can focus on extending built-in software libraries rather than re-inventing the wheel.

Anbieter: Dodax
Stand: 28.05.2020
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Data Management
83,90 CHF *
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The official definition provided by DAMA International, the professional organization for those in the data management profession, is: Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise. This definition is fairly broad and encompasses a number of professions which may not have direct technical contact with lower-level aspects of data management, such as relational database management. Alternatively, the definition provided in the DAMA Data Management Body of Knowledge (DAMA-DMBOK) is: Data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets. This book is your ultimate resource for Data Management. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Management right away, covering: Data management, Abstraction (computer science), ADO.NET, ADO.NET data provider, WCF Data Services, Age-Based Content Rating System, Data archaeology, Archive site, Association rule learning, Atomicity (database systems), Australian National Data Service, Automated Tiered Storage, Automatic data processing, Automatic data processing equipment, BBC Archives, Bitmap index, British Oceanographic Data Centre, Business intelligence, Business Intelligence Project Planning, Change data capture, Chunked transfer encoding, Cleansing and Conforming Data, Client-side persistent data, Clone (database), Cloud Data Management Interface, Cognos Reportnet, Commit (data management), Commitment ordering, The History of Commitment Ordering, Comparison of ADO and ADO.NET, Comparison of OLAP Servers, Comparison of structured storage software, Computer-aided software engineering, Concurrency control, Conference on Innovative Data Systems Research, Consumer Relationship System, Content Engineering, Content format, Content inventory, Content management, Content Migration, Content re-appropriation, Content repository, Control break, Control flow diagram, Copyright, Core Data, Core data integration, Customer data management, DAMA, Dashboard (business), Data, Data access, Data aggregator, Data architect, Data architecture, Data auditing, Data bank, Data binding, Data center, Data classification (data management), Data conditioning, Data custodian, Data deduplication, Data dictionary, Data exchange, Data extraction, Data field, Data flow diagram, Data governance, Data independence, Data integration, Data library, Data maintenance, Data management plan, Data mapping, Data migration, Data processing system, Data profiling, Data proliferation, Data recovery, Data Reference Model, Data retention software, Data room, Data security, Data set (IBM mainframe), Data steward, Data storage device, Data Stream Management System, Data Transformation Services, Data Validation and Reconciliation, Data verification, Data virtualization, Data visualization, Data warehouse, Database administration and automation, Database administrator, Database engine, Database schema, Database server, Database transaction, Database-centric architecture, Disaster recovery, Distributed concurrency control, Distributed data store, Distributed database, Distributed file system, Distributed transaction, DMAPI, Document capture software, Document-oriented database, Durability (database systems), Dynamic Knowledge Repository, Dynomite, Edge data integration...and much more This book explains in-depth the real drivers and workings of Data Management. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Data Management with

Anbieter: Orell Fuessli CH
Stand: 28.05.2020
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Data Quality
83,90 CHF *
ggf. zzgl. Versand

Data are of high quality ''if they are fit for their intended uses in operations, decision making and planning'' (J. M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. Furthermore, apart from these definitions, as data volume increases, the question of internal consistency within data becomes paramount, regardless of fitness for use for any external purpose, e.g. a person's age and birth date may conflict within different parts of a database. The first views can often be in disagreement, even about the same set of data used for the same purpose. This book discusses the concept as it related to business data processing, although of course other data have various quality issues as well. This book is your ultimate resource for Data Quality. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Quality right away, covering: Data quality, Bit rot, Cleansing and Conforming Data, Data auditing, Data cleansing, Data corruption, Data integrity, Data profiling, Data quality assessment, Data quality assurance, Data Quality Firewall, Data truncation, Data validation, Data verification, Database integrity, Database preservation, DataCleaner, Declarative Referential Integrity, Digital continuity, Digital preservation, Dirty data, Entity integrity, Information quality, Link rot, One-for-one checking, Referential integrity, Soft error, Two pass verification, Validation rule, Abstraction (computer science), ADO.NET, ADO.NET data provider, WCF Data Services, Age-Based Content Rating System, Aggregate (Data Warehouse), Data archaeology, Archive site, Association rule learning, Atomicity (database systems), Australian National Data Service, Automated Tiered Storage, Automatic data processing, Automatic data processing equipment, BBC Archives, Bitmap index, British Oceanographic Data Centre, Business intelligence, Business Intelligence Project Planning, Change data capture, Chunked transfer encoding, Client-side persistent data, Clone (database), Cognos Reportnet, Commit (data management), Commitment ordering, The History of Commitment Ordering, Comparison of ADO and ADO.NET, Comparison of OLAP Servers, Comparison of structured storage software, Computer-aided software engineering, Concurrency control, Conference on Innovative Data Systems Research, Consumer Relationship System, Content Engineering, Content format, Content inventory, Content management, Content Migration, Content re-appropriation, Content repository, Control break, Control flow diagram, Copyright, Core Data, Core data integration, Customer data management, DAMA, Dashboard (business), Data, Data access, Data aggregator, Data architect, Data architecture, Data bank, Data binding, Data center, Data classification (data management), Data conditioning, Data custodian, Data deduplication, Data dictionary, Data Domain (corporation), Data exchange, Data extraction, Data field, Data flow diagram, Data governance, Data independence, Data integration, Data library, Data maintenance, Data management, Data management plan, Data mapping, Data migration, Data processing system, Data proliferation, Data recovery, Data Reference Model, Data retention software, Data room, Data security, Data set (IBM mainframe), Data steward, Data storage device, Data Stream Management System, Data Transformation Services, Data Validation and Reconciliation, Data virtualization, Data visualization, Data warehouse, Database administration and automation...and much more This book explains in-depth the real drivers and workings of Data Quality. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding o

Anbieter: Orell Fuessli CH
Stand: 28.05.2020
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Serials in the Park
42,90 CHF *
ggf. zzgl. Versand

Discover new methods for simplifying the serials management process in today's electronic era The dawn of the new millennium changed the field of information sciences forever as librarians and researchers alike were barraged with many new concepts and technologies, creating chaos and confusion. Serials in the Park is a breath of fresh air as expert speakers and consultants from the 18th Annual NASIG Conference (2003, Portland, Oregon) focus on the most significant trends and innovations for you and your patrons to use. From the Information Resource Matrix and serials aggregation to digital preservation and fund allocations, this important resource will help you successfully navigate the best path through unfamiliar territory. With Serials in the Park, you'll have a tangible source to turn to about several noteworthy issues, such as: the rules, principles, and terminology underlying serials cataloging the state of mergers in the serials publishing industry from the viewpoints of a librarian, a vendor, and a publisher the CONSER recommended aggregator-neutral record for electronic serials cataloging the integration of new library systems and how it affects copyright law the barriers and challenges facing clients with disabilities when using electronic resources developing, writing, and using written procedures manuals for technical services the current state of print repositories Along with presentations and workshops presented at the conference, this handy tool includes the hottest topics and the latest reports from reliable sources. With this book, you'll also receive vital, practical advice on networking, cross-campus partnerships, training and education, and strategies for dealing with the transition from print to digital despite budget constraints. By showing you how to avoid pitfalls and dead ends, Serials in the Park helps you will improve efficiency, reduce the workload in public services, and enhance services to the users.

Anbieter: Orell Fuessli CH
Stand: 28.05.2020
Zum Angebot
Serials in the Park
41,90 CHF *
ggf. zzgl. Versand

Discover new methods for simplifying the serials management process in today's electronic era The dawn of the new millennium changed the field of information sciences forever as librarians and researchers alike were barraged with many new concepts and technologies, creating chaos and confusion. Serials in the Park is a breath of fresh air as expert speakers and consultants from the 18th Annual NASIG Conference (2003, Portland, Oregon) focus on the most significant trends and innovations for you and your patrons to use. From the Information Resource Matrix and serials aggregation to digital preservation and fund allocations, this important resource will help you successfully navigate the best path through unfamiliar territory. With Serials in the Park, you'll have a tangible source to turn to about several noteworthy issues, such as: the rules, principles, and terminology underlying serials cataloging the state of mergers in the serials publishing industry from the viewpoints of a librarian, a vendor, and a publisher the CONSER recommended aggregator-neutral record for electronic serials cataloging the integration of new library systems and how it affects copyright law the barriers and challenges facing clients with disabilities when using electronic resources developing, writing, and using written procedures manuals for technical services the current state of print repositories Along with presentations and workshops presented at the conference, this handy tool includes the hottest topics and the latest reports from reliable sources. With this book, you'll also receive vital, practical advice on networking, cross-campus partnerships, training and education, and strategies for dealing with the transition from print to digital despite budget constraints. By showing you how to avoid pitfalls and dead ends, Serials in the Park helps you will improve efficiency, reduce the workload in public services, and enhance services to the users.

Anbieter: Orell Fuessli CH
Stand: 28.05.2020
Zum Angebot
Data Management
48,99 € *
ggf. zzgl. Versand

The official definition provided by DAMA International, the professional organization for those in the data management profession, is: Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise. This definition is fairly broad and encompasses a number of professions which may not have direct technical contact with lower-level aspects of data management, such as relational database management. Alternatively, the definition provided in the DAMA Data Management Body of Knowledge (DAMA-DMBOK) is: Data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets. This book is your ultimate resource for Data Management. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Management right away, covering: Data management, Abstraction (computer science), ADO.NET, ADO.NET data provider, WCF Data Services, Age-Based Content Rating System, Data archaeology, Archive site, Association rule learning, Atomicity (database systems), Australian National Data Service, Automated Tiered Storage, Automatic data processing, Automatic data processing equipment, BBC Archives, Bitmap index, British Oceanographic Data Centre, Business intelligence, Business Intelligence Project Planning, Change data capture, Chunked transfer encoding, Cleansing and Conforming Data, Client-side persistent data, Clone (database), Cloud Data Management Interface, Cognos Reportnet, Commit (data management), Commitment ordering, The History of Commitment Ordering, Comparison of ADO and ADO.NET, Comparison of OLAP Servers, Comparison of structured storage software, Computer-aided software engineering, Concurrency control, Conference on Innovative Data Systems Research, Consumer Relationship System, Content Engineering, Content format, Content inventory, Content management, Content Migration, Content re-appropriation, Content repository, Control break, Control flow diagram, Copyright, Core Data, Core data integration, Customer data management, DAMA, Dashboard (business), Data, Data access, Data aggregator, Data architect, Data architecture, Data auditing, Data bank, Data binding, Data center, Data classification (data management), Data conditioning, Data custodian, Data deduplication, Data dictionary, Data exchange, Data extraction, Data field, Data flow diagram, Data governance, Data independence, Data integration, Data library, Data maintenance, Data management plan, Data mapping, Data migration, Data processing system, Data profiling, Data proliferation, Data recovery, Data Reference Model, Data retention software, Data room, Data security, Data set (IBM mainframe), Data steward, Data storage device, Data Stream Management System, Data Transformation Services, Data Validation and Reconciliation, Data verification, Data virtualization, Data visualization, Data warehouse, Database administration and automation, Database administrator, Database engine, Database schema, Database server, Database transaction, Database-centric architecture, Disaster recovery, Distributed concurrency control, Distributed data store, Distributed database, Distributed file system, Distributed transaction, DMAPI, Document capture software, Document-oriented database, Durability (database systems), Dynamic Knowledge Repository, Dynomite, Edge data integration...and much more This book explains in-depth the real drivers and workings of Data Management. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Data Management with

Anbieter: Thalia AT
Stand: 28.05.2020
Zum Angebot
Data Quality
48,99 € *
ggf. zzgl. Versand

Data are of high quality ''if they are fit for their intended uses in operations, decision making and planning'' (J. M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. Furthermore, apart from these definitions, as data volume increases, the question of internal consistency within data becomes paramount, regardless of fitness for use for any external purpose, e.g. a person's age and birth date may conflict within different parts of a database. The first views can often be in disagreement, even about the same set of data used for the same purpose. This book discusses the concept as it related to business data processing, although of course other data have various quality issues as well. This book is your ultimate resource for Data Quality. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Quality right away, covering: Data quality, Bit rot, Cleansing and Conforming Data, Data auditing, Data cleansing, Data corruption, Data integrity, Data profiling, Data quality assessment, Data quality assurance, Data Quality Firewall, Data truncation, Data validation, Data verification, Database integrity, Database preservation, DataCleaner, Declarative Referential Integrity, Digital continuity, Digital preservation, Dirty data, Entity integrity, Information quality, Link rot, One-for-one checking, Referential integrity, Soft error, Two pass verification, Validation rule, Abstraction (computer science), ADO.NET, ADO.NET data provider, WCF Data Services, Age-Based Content Rating System, Aggregate (Data Warehouse), Data archaeology, Archive site, Association rule learning, Atomicity (database systems), Australian National Data Service, Automated Tiered Storage, Automatic data processing, Automatic data processing equipment, BBC Archives, Bitmap index, British Oceanographic Data Centre, Business intelligence, Business Intelligence Project Planning, Change data capture, Chunked transfer encoding, Client-side persistent data, Clone (database), Cognos Reportnet, Commit (data management), Commitment ordering, The History of Commitment Ordering, Comparison of ADO and ADO.NET, Comparison of OLAP Servers, Comparison of structured storage software, Computer-aided software engineering, Concurrency control, Conference on Innovative Data Systems Research, Consumer Relationship System, Content Engineering, Content format, Content inventory, Content management, Content Migration, Content re-appropriation, Content repository, Control break, Control flow diagram, Copyright, Core Data, Core data integration, Customer data management, DAMA, Dashboard (business), Data, Data access, Data aggregator, Data architect, Data architecture, Data bank, Data binding, Data center, Data classification (data management), Data conditioning, Data custodian, Data deduplication, Data dictionary, Data Domain (corporation), Data exchange, Data extraction, Data field, Data flow diagram, Data governance, Data independence, Data integration, Data library, Data maintenance, Data management, Data management plan, Data mapping, Data migration, Data processing system, Data proliferation, Data recovery, Data Reference Model, Data retention software, Data room, Data security, Data set (IBM mainframe), Data steward, Data storage device, Data Stream Management System, Data Transformation Services, Data Validation and Reconciliation, Data virtualization, Data visualization, Data warehouse, Database administration and automation...and much more This book explains in-depth the real drivers and workings of Data Quality. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding o

Anbieter: Thalia AT
Stand: 28.05.2020
Zum Angebot