Charleston, WV – At Quarrier Street

1038 Quarrier St, Suite 100, Charleston, United States, 25301

The venue is located in the heart of Charleston’s downtown business district on Quarrier Street, easily reachable by car via I‑64 or I‑77, with several public parking garages and metered street parking nearby. From Yeager Airport (CRW), around 7 miles east, taxis or rideshares usually take 15–20 minutes via WV‑114 and I‑64 East. Public transit is available via Kanawha Valley Regional Transportation Authority (KRT) buses that stop along Quarrier and Leon Sullivan Way, with the main train station about 1 km away—making the venue accessible for attendees without a car.

Morgantown, WV – Regus at Suncrest Towne Centre

600 Suncrest Towne Centre Drive, 3rd Floor, Morgantown, United States, 26505

The venue is located in the Suncrest Towne Centre office park off US 119 and Morgantown’s University Avenue, with easy car access via I‑79 and I‑68 and free ample on-site parking. From Morgantown Municipal Airport (MGW), a taxi or rideshare takes around 10–15 minutes via US‑119 North. If you’re coming from Pittsburgh International Airport (PIT), a drive of about 1.5 hours along I‑79 South gets you there. Attendees using public transit can take the Mountain Line bus to the Suncrest Town Centre stop, located steps from the entrance.

Explore Our Courses

Introduction to Graph Computing

 28 Hours

In this instructor-led, live training in West Virginia, participants will learn about the technology offerings and implementation approaches for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using a Graph Computing (also known as Graph Analytics) approach. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments.

By the end of this training, participants will be able to:

  • Understand how graph data is persisted and traversed.
  • Select the best framework for a given task (from graph databases to batch processing frameworks.)
  • Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel.
  • View real-world big data problems in terms of graphs, processes and traversals.
Read more...

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Upcoming Courses

Introduction to Graph Computing

2025-08-18 9:30 am
28 hours
Charleston, WV – At Quarrier Street
$ 5405 (Online)
$ 5405 (Classroom)

Introduction to Graph Computing

2025-09-01 9:30 am
28 hours
Charleston, WV – At Quarrier Street
$ 5405 (Online)
$ 5405 (Classroom)

Introduction to Graph Computing

2025-09-15 9:30 am
28 hours
Charleston, WV – At Quarrier Street
$ 5405 (Online)
$ 5405 (Classroom)

Introduction to Graph Computing

2025-09-29 9:30 am
28 hours
Charleston, WV – At Quarrier Street
$ 5405 (Online)
$ 5405 (Classroom)

Introduction to Graph Computing

2025-10-13 9:30 am
28 hours
Charleston, WV – At Quarrier Street
$ 5405 (Online)
$ 5405 (Classroom)

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