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. Laval onsite live GraphX trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Located in Laval's central business district our 2572 Daniel Johnson Boulevard workspace is in the heart of a hi-tech neighbo...
Located in Laval's central business district our 2572 Daniel Johnson Boulevard workspace is in the heart of a hi-tech neighbourhood, close to Biotech City and easily accessible from downtown Montreal or via highways A-15 and A-460.
In this instructor-led, live training in Laval, 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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