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Introduction to Graph Computing

 28 Hours
In this instructor-led, live training in Guatemala, 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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Upcoming Courses

Introduction to Graph Computing

2025-07-21 09:30
28 hours
Online
10250 USD (Online)

Introduction to Graph Computing

2025-08-04 09:30
28 hours
Online
10250 USD (Online)

Introduction to Graph Computing

2025-08-18 09:30
28 hours
Online
10250 USD (Online)

Introduction to Graph Computing

2025-09-01 09:30
28 hours
Online
10250 USD (Online)

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