Hands-on Introduction to Apache TinkerPop & Gremlin Query Language
This half-day workshop sold out at Graph Day in Austin in 2017 and received rave reviews. 
Apache TinkerPop is an open-source, vendor-agnostic, graph computing framework distributed under the commercial friendly Apache2 license. When a data system is TinkerPop-enabled, its users are able to model their domain as a graph and analyze that graph using the Gremlin query language. All TinkerPop-enabled systems integrate with one another allowing them to easily expand their offerings as well as allowing users to choose the appropriate graph technology for their application.
Gremlin is on its way to being the lingua franca for graph databases. It is supported by all the major graph database vendors, including Neo4j, DataStax, and the recently announced Microsoft CosmosDB. 

More than a language, Gremlin is a style of traversing graph data. It is implemented in Java, but through the use of Gremlin Language Variants (GLV) it has been implemented in several other popular languages such as Python, JavaScript, C# and others.
This workshop uses the reference implementation of TinkerPop Gremlin, and a handful of sample data sets, to teach the Gremlin traversal language through hands-on exercises.

For most students, their hands will never leave the keyboard as they follow the instructor and the exercises. At the end of the course, students will:
• understand the difference between the graph data and the traversal process
• know the elements of a TinkerPop property graph
• be able to write basic traversals through the graph
• be able to perform common mutations of the graph (insert, change and remove data)
• be exposed to simple data transformations such as grouping, ordering, and aggregations.
Course Summary
Section 1: Introduction to Property Graphs 
Apache TinkerPop, Gremlin Console, traversals vs. graphs, elements of a property graph: vertex, edge, property. Iterating results. 

Section 2: Basic Traversals - Finding, Filtering & Projecting 
Finding vertices, finding edges, returning property values. Traversing the graph. Filtering using predicates and the where(), is() and has() steps. 

Section 3: Mutating the Graph - Adding, Changing & Deleting Data 
Graph API vs. the Traversal API. Adding vertices, edges, properties. Editing properties. Removing properties, edges, vertices. Dropping a graph. 

Section 4: Common Transformations - Grouping, Ordering & Aggregations 
Review projections. Simple grouping examples. Ordering results by a property value. Aggregations.
All Attendees receive free graph t-shirt
Josh Perryman
Josh is a Senior Consultant / Data Junkie / Technology Lead at  Expero. His deep familiarity with a multitude of graph platforms and tools makes him a highly sought after speaker, trainer, and consultant in the graph space.
Data Architect
Sept 19 - 21
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