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 Belfast or in NobleProg corporate training centers in Belfast.
NobleProg -- Your Local Training Provider
Belfast
Cromac Square, Belfast, united kingdom, BT2 8LA
The Cromac Street Centre is located in a office development with a three-storey glass-fronted lobby on a prominent corner sit...
The Cromac Street Centre is located in a office development with a three-storey glass-fronted lobby on a prominent corner site in Belfast's city centre.
It is strategically positioned in a major business area alongside some leading financial and IT institutions, at the apex for main arterial routes through the city and close to major entertainment and retail zones.
Belfast has benefited from sustained investment and rapid economic growth and is now a flourishing and confident city where business is prospering, visitor numbers are increasing and more and more people are drawn to the city to live, work, shop, visit and play.
It has one of the most highly qualified workforces in Europe and has seen strong growth in the knowledge sectors, particularly the financial services, biotechnology, environmental and creative industries as well as having rich and varied cultural and social sectors.
The centre has Life Size Video Conferencing available with Polycom 7000HDX video conferencing, screen sharing and up to 10 sites connectivity Bridging ISDN and IP services available.
In this instructor-led, live training in Belfast, 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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