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. Brasilia onsite live GraphX trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Brasilia - Corporate Financial Center
SCN, Qd2 - Block A - Cj. 503/504 , Brasília, Brazil
The Brasilia Corporate Financial Center is situated in a striking office complex in the Northern Commercial Sector, one of the main business districts. It is close to the Monumental Axis road which divides the city. The Brasilia Corporate Financial Center has an auditorium and cyber café and the complex offers restaurant and gym facilities, a helipad and parking.
Brasilia - Parque Cidade Corporate Building
Edifício Parque Cidade Corporate Brasilia DF , Brasilia, Brazil, 70308-200
Elevate the pace of your business operations at our workspace located in the thriving Parque Cidade Corporate Building in Brasília. Adorned with a striking glass façade, this triple-A-rated high-rise not only offers an impressive exterior but also provides unparalleled networking and growth prospects right at your fingertips.
Welcome your clients to a bright and conducive environment, boasting breathtaking views of Brasília from the rooftop terrace. When it’s time to recharge, unwind amidst the tranquil ambiance of Parque da Cidade, just a short stroll away. And for entertaining your guests, indulge in a variety of bars and restaurants conveniently situated nearby.
In this instructor-led, live training in Brasilia, 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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