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 Iowa can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
IA, Des Moines - Hub Tower
699 Walnut Street, Des Moines, united states, 50309
The venue is located in the Hub Tower, right next door to Burger King and in the vicinity of the Kaleidoscope at the Hub Mall...
The venue is located in the Hub Tower, right next door to Burger King and in the vicinity of the Kaleidoscope at the Hub Mall.
IA, Johnston - Des Moines - Foxboro Square
6165 Northwest 86th Street, Des Moines, united states, 50131
The venue is located in the neighboorhood of the Community Choice Credit Union and Iowa Orthodontic Solutions, just in front ...
The venue is located in the neighboorhood of the Community Choice Credit Union and Iowa Orthodontic Solutions, just in front of the Green Meadows West Gazebo.
NE, Omaha – Linden Place
14301 First National Bank Parkway, Suite 100, Omaha, united states, 68154
The venue is located next to the First National Bank Park & Ride bus stop in the same building as Midwest Retirement Advisors...
The venue is located next to the First National Bank Park & Ride bus stop in the same building as Midwest Retirement Advisors and Principal Financial Group.
In this instructor-led, live training in Iowa, 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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