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Online Gremlin Workshop - Datastax Edition

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Refunds up to 7 days before event

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This workshop SOLD OUT at Graph Day Austin in 2017 and received rave reviews.

August 25, 2017 @ 10 AM - 2 PM CDT
Cost: $225
All participants receive a FREE Graph T-shirt!

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.

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. Gremlin is well on its way to becoming the SQL of graph query languages. PLUS it is supported by DataStax and it's high performance platform.


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 examples.

For most students, their hands will never leave the keyboard as they follow the instructor and the examples in the student handout. 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
  • Discuss Datastax performance and implications of development with Datastax tools

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.

Section 5: DataStax Graph Examples - Live examples of Datastax specific platforms
Review examples of specific elements for Datastax. Simple examples. QA and discussions how and when to apply specific code for Datastax

Course Requirements

Attendees must have:

  • A laptop with wifi capabilities

  • git or unzip software (The GitHub repo can be cloned with git or downloaded as zip file).

  • Docker

  • ~300 MB free disk space for the Docker image

  • ~100 MB available RAM for the Docker container

About the Instructor

Josh Perryman - Data Architect Expero Inc.

Josh Perryman
Data Architect, Expero

Josh is a Senior Consultant/Data Junkie/Technology Lead at Expero. His deep familiarity with a multitide of graph platforms and tools makes him a highly sought after speaker, trainer and consultant in the graph space.

All attendees receive a free t-shirt

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Refund Policy

Refunds up to 7 days before event

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