Join your local DataStax experts 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. Get an introduction to graph technology, followed by a technical hands-on lab session.
During the morning session, 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
Following the morning session, 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!
Date: Thursday, October 10, 2019
Time: 9:30 am - 2:30 pm ET
Location: Heinz History Center | 1212 Smallman St, Pittsburgh, PA 15222
Room: Meeting 3rd Floor Multipurpose Room
Registration, Welcome, and Breakfast
Morning Session: 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
Afternoon Session: Hands-On Lab on 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
- Your DataStax Graph journey
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.