Expert-guided sessions for actionable business insights
TigerGraph Elements Workshops are expert-led, purpose-built sessions designed to explore the connected data problems that graph-based solutions can help today's enterprise organizations overcome.
Program Overview
Explore your workshop options, learning goals for each session, and workshop prerequisites in this program overview.
Graph Database Fundamentals
Get started on your graph journey with TigerGraph. In Graph Database Fundamentals, you'll gain the knowledge you need to make TigerGraph an important part of your enterprise technology portfolio.
Use case discovery
Explore the business benefits of real-time decisioning solutions, best practices for working with connected data, and identify high-value use cases in this collaborative series of meetings with stakeholders and decision-makers.
Graph database benchmarking
Cover benchmark queries, multiple workloads, and performance testing during a recreation of the LDBC benchmark using your business environment.
Enterprise deployment & Ops
Dive into TigerGraph's enterprise readiness, reviewing deployment options, security, data protection, import and export, and basic administration functions.
Graph Algorithm fundamentals
Graph powers many data science functions by using graph algorithms. This workshop explores algorithms including PageRank, Recommendations, Similarity, Centrality, and Community Detection.
Data science lab
In this hands-on workshop, you'll work together with our expert data science team to solve critical business problems using advanced analytics, advance new methodologies, and learn and apply graph techniques and algorithms to analytics.
Recognizing value with graph
Learn how to measure the return on your graph analytics investment in this highly interactive exercise, including benefits and obstacles to measurement, short-term vs. long-term value, influencers and metrics, and impact to your customers and business units.
