
Local, instructorled live GraphX training courses demonstrate through handson practice how to implement GraphX to carry out graph computing across many machines in parallel
GraphX training is available as "onsite live training" or "remote live training" Onsite live training can be carried out locally on customer premises in Norge or in NobleProg corporate training centers in Norge Remote live training is carried out by way of an interactive, remote desktop
NobleProg Your Local Training Provider.
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Testimonials
Richard er veldig rolig og metodisk, med en analytisk innsikt - nøyaktig egenskapene som trengs for å presentere denne typen kurs
Kieran Mac Kenna
Kurs: Spark for Developers
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Mulige scenarier og saker
zhaopeng liu - Fmr
Kurs: Spark for Developers
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Saksanalyse
国栋 张
Kurs: Spark for Developers
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Alle deler av økten
Eric Han - Fmr
Kurs: Spark for Developers
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Vi vet at vi vet mye mer om hele miljøet
John Kidd
Kurs: Spark for Developers
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Treneren gjorde klassen interessant og underholdende som hjelper ganske mye med treninger hele dagen
Ryan Speelman
Kurs: Spark for Developers
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Jeg synes at treneren hadde en utmerket stil med å kombinere humor og historier i det virkelige liv for å gjøre emnene for hånden veldig tilgjengelige. Jeg vil anbefale denne professoren på det sterkeste i fremtiden.
Kurs: Spark for Developers
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Ernesto gjorde en god jobb med å forklare konsepter på høyt nivå med å bruke Spark og det er forskjellige moduler.
Michael Nemerouf
Kurs: Spark for Developers
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Jeg likte metodikken som Jorge forventet
Experian Colombia S.A
Kurs: Spark for Developers
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Richard var veldig villig til å avvise når vi ønsket å stille semi-relaterte spørsmål om ting som ikke er på pensum. Forklaringene var klare, og han var foran med advarsler i alle råd han ga oss.
ARM Limited
Kurs: Spark for Developers
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VM jeg likte veldig godt Læreren var veldig kunnskapsrik med hensyn til temaet så vel som andre emner, han var veldig hyggelig og vennlig. Jeg likte anlegget i Dubai.
Safar Alqahtani - Elm Information Security
Kurs: Big Data Analytics in Health
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Small group (4 trainees) and we could progress together. Also the trainer could so help everybody.
ICE International Copyright Enterprise Germany GmbH
Kurs: Spark for Developers
Ajay var veldig vennlig, hjelpsom og kunnskapsrik om temaet han diskuterte.
Biniam Guulay - ICE International Copyright Enterprise Germany GmbH
Kurs: Spark for Developers
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Laboratoriet øvelser. Bruke teorien fra første dag i påfølgende dager.
Dell
Kurs: A Practical Introduction to Stream Processing
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The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.
Kurs: A Practical Introduction to Stream Processing
Jeg synes at treneren hadde en utmerket stil med å kombinere humor og historier i det virkelige liv for å gjøre emnene for hånden veldig tilgjengelige. Jeg vil anbefale denne professoren på det sterkeste i fremtiden.
Kurs: Spark for Developers
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The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.
Kurs: A Practical Introduction to Stream Processing
GraphX Kursplaner
In this instructor-led, live training, 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.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
















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