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Analysis of Community Interactions using Spark GraphX

The goal of this spark project is to analyse the level and strength of interactions across areas of coverage of a telecom provider between different areas in the city of Milan.
4.74.7

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What will you learn

  • Introduction to Graphs
  • Introduction to Spark GraphX
  • Building a graph structure from our dataset
  • Use of Spark GraphX graph operators
  • Graph Visualization
  • Analysis of graph using GraphX
  • Performing parallel algorithmic computing like page rank on Graph using GraphX.

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Prerequisites

  • Cloudera Quickstart VM

Project Description

For all telecommunication providers, using the call details record (CDR), it is quite easy to measure the level and strength of interaction across areas of coverage. Such measurement enables the providers to make further decisions regarding sales, promotions and engineering details to improve the quality of service amongst other things.

In this spark graphx project, we will be doing an analysis of the level and strength of interactions between different areas in the city of Milan. Our dataset for this big data project include datasets from Dandelion Open big data website which contains aggregated anonymized call records based on the calls exchanged between Telecom Italia Mobile users.

Instructors

 
Michael

Big Data & Enterprise Software Engineer

I am passionate about software development, databases, data analysis and the android platform. My native language is java but no one has stopped me so far from learning and using angular and node.js. Data and data analysis is thrilling and so are my experiences with SQL on Oracle, Microsoft SQL Server, Postgres and MyS see more...