REST is ready for the enterprise. Imagine an information platform that is open and available to systems throughout the enterprise estate. A platform that eschews integration in favour of composition, connected data over siloed databases. A networked data structure with the power to implement valuable business behaviours: a distributed, hypermedia-driven application platform.
In this session you'll learn how to design and implement RESTful services to support complex business processes. With a detailed example, I show how to model business processes as domain application protocols; implement them in terms of resource lifecycles; and advertise and execute them using HTTP idioms, media types and link relation values.
The Web is fast becoming a serious competitor to traditional enterprise architecture approaches. This full day workshop will provide an introduction to RESTful Web Service techniques, both from a theoretical and practical perspectives.
This full day workshop is broken down as follows:
Participants should be comfortable with distributed computing concepts, but won't need any particular integration or middleware experience
The Web is fast becoming a serious competitor to traditional enterprise architecture approaches. This full day workshop will provide an introduction to RESTful Web Service techniques, both from a theoretical and practical perspectives.
This full day workshop is broken down as follows:
Participants should be comfortable with distributed computing concepts, but won't need any particular integration or middleware experience
The Web is fast becoming a serious competitor to traditional enterprise architecture approaches. This full day workshop will provide an introduction to RESTful Web Service techniques, both from a theoretical and practical perspectives.
This full day workshop is broken down as follows:
Participants should be comfortable with distributed computing concepts, but won't need any particular integration or middleware experience
Graph databases are an esoteric but powerful member of the NoSQL family. For highly connected data, graph databases can be thousands of times faster than relational databases, making Neo4j popular for managing complex data across many domains, from finance to social, telecoms to geospatial.
This tutorial covers the core functionality from the Neo4j graph database, providing a mixture of theory and accompanying practical sessions to demonstrate the capabilities of graph data and the Neo4j database. Specifically, you'll learn about:
Each session (apart from the fundamentals and architecture) will be a mixture of a small amount of theory combined with a set of practical exercises designed to reinforce how to achieve sophisticated goals with Neo4j. The practical parts of the tutorial consist of Koan-style lessons where a specific aspect of the Neo4j stack is presented as a set of failing unit tests which participants will work to fix, gradually becoming more challenging until the attendees are capable of implementing sophisticated graph operations against Neo4j.
Attendees won't need any previous experience with Neo4j or NoSQL databases, but will require some fluency in Java, a little familiarity with a modern IDE, and a basic understanding of JUnit to help complete the lab tasks.
Graph databases are an esoteric but powerful member of the NoSQL family. For highly connected data, graph databases can be thousands of times faster than relational databases, making Neo4j popular for managing complex data across many domains, from finance to social, telecoms to geospatial.
This tutorial covers the core functionality from the Neo4j graph database, providing a mixture of theory and accompanying practical sessions to demonstrate the capabilities of graph data and the Neo4j database. Specifically, you'll learn about:
Each session (apart from the fundamentals and architecture) will be a mixture of a small amount of theory combined with a set of practical exercises designed to reinforce how to achieve sophisticated goals with Neo4j. The practical parts of the tutorial consist of Koan-style lessons where a specific aspect of the Neo4j stack is presented as a set of failing unit tests which participants will work to fix, gradually becoming more challenging until the attendees are capable of implementing sophisticated graph operations against Neo4j.
Attendees won't need any previous experience with Neo4j or NoSQL databases, but will require some fluency in Java, a little familiarity with a modern IDE, and a basic understanding of JUnit to help complete the lab tasks.
Graph databases are an esoteric but powerful member of the NoSQL family. For highly connected data, graph databases can be thousands of times faster than relational databases, making Neo4j popular for managing complex data across many domains, from finance to social, telecoms to geospatial.
This tutorial covers the core functionality from the Neo4j graph database, providing a mixture of theory and accompanying practical sessions to demonstrate the capabilities of graph data and the Neo4j database. Specifically, you'll learn about:
Each session (apart from the fundamentals and architecture) will be a mixture of a small amount of theory combined with a set of practical exercises designed to reinforce how to achieve sophisticated goals with Neo4j. The practical parts of the tutorial consist of Koan-style lessons where a specific aspect of the Neo4j stack is presented as a set of failing unit tests which participants will work to fix, gradually becoming more challenging until the attendees are capable of implementing sophisticated graph operations against Neo4j.
Attendees won't need any previous experience with Neo4j or NoSQL databases, but will require some fluency in Java, a little familiarity with a modern IDE, and a basic understanding of JUnit to help complete the lab tasks.
Graph databases are an esoteric but powerful member of the NoSQL family. For highly connected data, graph databases can be thousands of times faster than relational databases, making Neo4j popular for managing complex data across many domains, from finance to social, telecoms to geospatial.
This tutorial covers the core functionality from the Neo4j graph database, providing a mixture of theory and accompanying practical sessions to demonstrate the capabilities of graph data and the Neo4j database. Specifically, you'll learn about:
Each session (apart from the fundamentals and architecture) will be a mixture of a small amount of theory combined with a set of practical exercises designed to reinforce how to achieve sophisticated goals with Neo4j. The practical parts of the tutorial consist of Koan-style lessons where a specific aspect of the Neo4j stack is presented as a set of failing unit tests which participants will work to fix, gradually becoming more challenging until the attendees are capable of implementing sophisticated graph operations against Neo4j.
Attendees won't need any previous experience with Neo4j or NoSQL databases, but will require some fluency in Java, a little familiarity with a modern IDE, and a basic understanding of JUnit to help complete the lab tasks.
Web services have been used for many years. In this time, developers and architects have encountered a number of recurring design challenges related to their usage, and have learned that certain service design approaches work better than others to solve certain problems.
In Service Design Patterns, Rob Daigneau codifies proven design solutions for web services that follow the REST architectural style or leverage the SOAP/WSDL specifications. This catalogue identifies the fundamental topics in web service design and lists the common design patterns for each topic. All patterns identify the context in which they may be used, explain the constituent design elements, and explore the relative strengths and trade-offs. Code examples are provided to help you better understand how the patterns work but are kept general so that you can see how the solutions may be applied to disparate technologies that will inevitably change in the years to come.
This book will help readers answer the following questions:
This book is an invaluable resource for enterprise architects, solution architects, and developers who use web services to create enterprise IT applications, commercial or open source products, and Software as a Service (SaaS) products that leverage emerging Cloud platforms.
This volume provides an overview and an understanding of REST (Representational State Transfer). Discussing the constraints of REST the book focuses on REST as a type of web architectural style. The focus is on applying REST beyond Web applications (i.e., in enterprise environments), and in reusing established and well-understood design patterns when doing so. The reader will be able to understand how RESTful systems can be designed and deployed, and what the results are in terms of benefits and challenges encountered in the process.
Since REST is relatively new as an approach for designing Web Services, the more advanced part of the book collects a number of challenges to some of the assumptions and constraints of REST, and looks at current research work on how REST can be extended and applied to scenarios that often are considered not to be a good match for REST.
This work will help readers to reach a deeper understanding of REST on a practical as well as on an advanced level.
Why don't typical enterprise projects go as smoothly as projects you develop for the Web? Does the REST architectural style really present a viable alternative for building distributed systems and enterprise-class applications?
In this insightful book, three SOA experts provide a down-to-earth explanation of REST and demonstrate how you can develop simple and elegant distributed hypermedia systems by applying the Web's guiding principles to common enterprise computing problems. You'll learn techniques for implementing specific Web technologies and patterns to solve the needs of a typical company as it grows from modest beginnings to become a global enterprise.
ThoughtWorks is a well-known global consulting firm; ThoughtWorkers are leaders in areas of design, architecture, SOA, testing, and agile methodologies. This collection of essays brings together contributions from well-known ThoughtWorkers such as Martin Fowler, along with other authors you may not know yet. While ThoughtWorks is perhaps best known for their work in the Agile community, this anthology confronts issues throughout the software development life cycle. From technology issues that transcend methodology, to issues of realizing business value from applications, you'll find it here.