Best Sellers in “Spark GraphX Projects”
Design a Network Crawler by Mining Github Social Profiles
In this big data project, we will look at how to mine and make sense of connections in a simple way by building a Spark GraphX Algorithm and a Network Crawler.
$25 $19
Neo4j Project using Yelp dataset to analyse ratings from users
In this Neo4j project, you will do network analysis using a graph database to find patterns on how a social network affects business reviews and ratings.
$25 $19
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.
$25 $19
Who should enroll for Spark GraphX projects ?
- Data Scientists, Big Data Developers and Big Data Engineers who want to understand the real-time applications of Apache Spark in the industry.
- Anybody who has the passion to develop expertise and specifically around the GraphX component in the Spark ecosystem.
- These spark projects are for engineering students provided they have some prior programming knowledge or some kind of programming experience.
Key Learning’s from DeZyre’s Apache Spark GraphX Projects
- Learn about Spark GraphX components and get an in-depth understanding of graph-parallel operations.
- Learn how Data Parallel, Graph-Parallel, and RDDs integrate with GraphX through various real-time scenarios.
- Learn how GraphX handles visualizations and create views.
What will you get when you enroll for Spark GraphX projects?
- Spark GraphX Project Source Code: Examine and implement end-to-end real-world big data projects on apache spark from the Banking, Finance, Retail, eCommerce, and Entertainment sector using the source code.
- Recorded Demo: Watch a video explanation on how to execute these Spark GraphX projects for practice.
- Complete Solution Kit: Get access to the big data solution design, documents, and supporting reference material, if any for every spark graphx project use case.
- Mentor Support: Get your technical questions answered with mentorship from the best industry experts for a nominal fee.
- Hands-On Knowledge: Equip yourself with practical skills on Spark GraphX component in the spark ecosystem.