- Course
Graph Operations in Apache Spark Using GraphFrames
Graphs are powerful tools for analyzing relationships and connections within data. Learn how to create and query GraphFrames, find structural patterns using motif finding, and implement graph algorithms to extract meaningful insights.
Intermediate
- Course
Graph Operations in Apache Spark Using GraphFrames
Graphs are powerful tools for analyzing relationships and connections within data. Learn how to create and query GraphFrames, find structural patterns using motif finding, and implement graph algorithms to extract meaningful insights.
Intermediate
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This course is included in the libraries shown below:
- Data
What you'll learn
Graphs are essential for analyzing complex relationships and uncovering hidden patterns in connected data, making them a critical tool in various industries.
In this course, Graph Operations in Apache Spark Using GraphFrames, you'll learn how to create and query GraphFrames in Apache Spark, uncover structural patterns using motif finding, and implement advanced graph algorithms like shortest path and page rank.
You'll explore hands-on demos and real-world examples, and gain practical experience working with vertices, edges, and graph queries to solve data problems.
When you’re finished with this course, you’ll have a better understanding of how to use GraphFrames to process, analyze, and derive insights from graph-structured data efficiently and effectively.
Graph Operations in Apache Spark Using GraphFrames
Intermediate
Table of contents
A problem solver at heart, Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework.