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.
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.
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.
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.