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. Georgia onsite live GraphX trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
AL, Birmingham - Perimeter Park
One Perimeter Park South Suite 100 N, Birmingham, united states, 35243
The Perimeter Park office space in Birmingham, Alabama has a new look since being remodeled with modern, relaxing decor. In t...
The Perimeter Park office space in Birmingham, Alabama has a new look since being remodeled with modern, relaxing decor. In the convenient first floor office space, Perimeter Park Center prides itself on award-winning customer service. Located on Highway 280 off Interstate I-459, the center is only 13 miles away from Birmingham International Airport. Surrounded with hotels, restaurants, upscale shops, as well as an excellent gym, the center is sure to provide for all our customers needs.
AL, Birmingham, Chase Corporate Dr Suite 400
Chase Corporate Dr Suite 400, Birmingham, united states, 35244
The venue is located just off of Montgomery Highway just down the road from the Courtyard by Marriott Birmingham Hoover.
In this instructor-led, live training in Georgia, 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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