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 Penang Island can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Bayan Lepas, iDEAL
73-3-1, Ideal@The One, Jalan , Kuala Lumpur, malaysia, 11950
The iDEAL Bayan Baru is located in the township near Bayan Lepas, Penang International Airport and also the second Penang Bri...
The iDEAL Bayan Baru is located in the township near Bayan Lepas, Penang International Airport and also the second Penang Bridge. The Building is located in Bayan Baru CBD, and within Bayan Lepas Free Trade Zone. Due to its proximity to the free trade zone that is home to many MNCs, this South-West District is one of the preferred retail/shopping destination s for working professionals, families, visitors and MICE (meeting, incentive, convention, exhibition).
Bayan Baru as part of the Penang Cybercity phase 1, has been identified as a key focus market in Malaysia’s development plan for 2015. It has easy access to corporate offices, restaurants, banks and many more amenities. Our center provide flexible, fully-equipped office workspaces for businesses large and small, branch or sales offices, agencies and consultancies, with comprehensive services at a reasonable price.
In this instructor-led, live training in Penang Island, 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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