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. Espírito Santo onsite live GraphX trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Vitoria, Work Center Corporate - Alexandre Buaiz
300 - 20º andar, Vitoria, Brazil, 29050-545
The Vitoria Center offers spectacular 360-degree views of one of Brazil's most important cities, including the waters of Vito...
The Vitoria Center offers spectacular 360-degree views of one of Brazil's most important cities, including the waters of Vitoria Bay and the landmark Third Bridge. It is located on the 20th floor of the stunning, high-profile Work Center Office Building, which features beautiful and modern architecture, like its instantly recognizable V-shaped blue-glass facade. The center is right at the heart of Enseada do Sua, the financial and commercial district of Vitoria, and is just walking distance from the best shopping and cultural attractions. Vitoria's two ports are among the most important in the country, exporting iron and steel among many other goods, but the city also has a thriving services sector, beaches that bring tourists and, in recent years, a growing oil industry too. Vitoria is an hour by plane along the Atlantic coast from Rio de Janeiro and Sao Paulo and the city's airport is a short drive from the Center.
In this instructor-led, live training in Espírito Santo, 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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