DataStax Graph Workshop and Hands-On Lab Got Graph? Get More from Your Connected Data - DC

Data Week DC, presented by Data Community DC, is on October 1-5, 2019 and is comprised of several events addressing the topics of interest to the communities served. We invite you to join your local DataStax experts on October 3 for a half-day workshop to learn how to get more value from your data by leveraging a relationship-first approach with a distributed graph database.

During the introduction, attendees will:

Learn about practical use cases for distributed graph databases, and hear how solving graph problems requires more than just a graph database
Walk through examples of graph applications and how graphs can easily adapt to evolving, complex, and disparate data sets to meet modern enterprise demands
Learn how we leverage Apache Cassandra™ to power the world’s most scalable graphs
Understand how modern graph applications leverage the naturally occurring relationships in your data, and are highly performant for use cases such as fraud prevention, customer 360, IoT, and recommendations

DataStax technical experts will lead a hands-on workshop to get you started with your DataStax Graph deep dive. Attendees will:

Use a ready-to-go cloud instance with DataStax Enterprise Graph and DataStax Studio to create a graph, define a schema, and load a data set
Define the most common graph traversal patterns using the Gremlin graph traversal language
Learn how to retrieve graph elements, look for shortest paths, extract subgraphs, and take advantage of both imperative and declarative traversals
And much more!

Event Details
Date: Thursday, October 3, 2019
Time: 12:00 pm - 3:30 pm ET
Location: George Washington University | 1957 E Street NW, Washington, DC 20052
Room: 113

Registration, Welcome, and Lunch
Introduction: Distributed Graph Fundamentals

Introduction to graph databases and applications
DataStax Graph and the graph technology landscape
State-of-the-art architectures, technologies, and APIs
Customer 360, fraud detection, and recommendations
Scaling applications in hybrid cloud, multi-cloud, and beyond

Hands-On Lab: Gremlin Graph Traversals
DataStax Enterprise Graph and DataStax Studio
Creating graphs and schemas
Loading graph data sets
Retrieving graph elements
Walking paths in a graph
Traversing neighborhoods and subgraphs
Matching graph patterns

Who Should Attend?

This event is designed for data designers, developers, and architects new to graph technology and interested in getting a hands-on walk-through experience with DataStax Graph.

Register Now