Online or onsite, instructor-led live GraphX training courses demonstrate through hands-on practice how to implement GraphX to carry out graph computing across many machines in parallel.
GraphX training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live GraphX trainings in Zwolle can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Zwolle
Zwolle Trade Centre, Grote Voort 293-A, Zwolle, Netherlands, 8041 BL
Zwolle Trade Center (ZTC) aims to house and bring together businesses in a vibrant location of exceptional beauty. It's a pla...
Zwolle Trade Center (ZTC) aims to house and bring together businesses in a vibrant location of exceptional beauty. It's a place that invites entrepreneurship, ideal for both larger and smaller enterprises.
In addition to its fantastic and iconic location, the building is characterized by high-quality architecture, impeccable finishing, and excellent facilities. These include a restaurant, a spacious entrance with security, and a well-equipped reception area.
The Zwolle Trade Center was designed by the American architectural firm PPK Architects. The architect's style is modern and cosmopolitan, giving the building the true "Zuid-AS" feeling in Zwolle.
Flexible office space with all the amenities of a modern office, such as a corporate restaurant, fully furnished workstations, meeting rooms, ample parking, and a reception area.
In this instructor-led, live training in Zwolle, 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.
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