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 training can be carried out locally on customer premises in Yokohama or in NobleProg corporate training centers in Yokohama.
The centre is located within a 5-minute walk from JR Kannai station and a 3-minute walk from Yokohama Blue Line Subway’s Ka...
The centre is located within a 5-minute walk from JR Kannai station and a 3-minute walk from Yokohama Blue Line Subway’s Kannai station. On the north side of the centre is the traditional business district lined with governmental offices, including the prefectural office, Yokohama’s city hall, customs , and port authorities. The area is home to a large number of import / export companies. The city is known for its international air which attracts expats as well as the good old cultural heritage loved by tourists. Tourism thrives here, with many attractions, hotels near the waterfront and the retro downtown area of Motomachi. Yokohama station, one of the biggest hubs in the Tokyo metropolitan area is less than a 10 minute train-ride from this centre. Yokohama station connects to many railway companies and you will reach Tokyo or Shibuya station in 30 minutes.
In this instructor-led, live training in Yokohama, 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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