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 Colombo or in NobleProg corporate training centers in Colombo.
NobleProg -- Your Local Training Provider
Colombo - Classroom
Colombo 7, No 58, Dharmapala Mawatha, Colombo, sri lanka, 00700
It is just a few metres away from Sri Lanka's famous Liberty Plaza shopping mall and is closely located to some of the bes...
It is just a few metres away from Sri Lanka's famous Liberty Plaza shopping mall and is closely located to some of the best restaurants and department stores in the city. It is also home to many bank and financial services companies including Citi Bank , HNB Bank, Sampath Bank & NDB Bank. The ICICI Bank is located on the ground floor of this building.
Major Offerings
6-8 seats batches on weekdays
12-16 seats batches over the weekend
State of the art audio/video webinars/seminars and presentation solutions
One-on-one Training sessions upon request
We encourage our students and delegates to bring along their own laptops during the exercises, as this helps in retaining the examples and handson exercises in their systems for post-session reference.
For Sales Enquires and Meetings
Please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
In this instructor-led, live training in Colombo, 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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