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
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.