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Graph Analytics for Big Data
Coursera
Course
Unknown

Graph Analytics for Big Data

University of California San Diego

This course provides an overview of graph analytics techniques to model, store, and analyze graph-structured data effectively and at scale.

Unknown5 weeksEnglish56,683 enrolled

About this Course

Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data. After completing this course, you will be able to model a problem into a graph database and perform analytical tasks over the graph in a scalable manner. Better yet, you will be able to apply these techniques to understand the significance of your data sets for your own projects

What You'll Learn

  • Model problems using graph databases
  • Perform scalable graph analytical tasks
  • Identify interacting clusters within graphs
  • Understand structural changes under conditions
  • Apply graph analytics for actionable insights

Prerequisites

  • Basic computer skills
  • Internet usage skills
  • Ability to read instructions in English

Instructors

A

Amarnath Gupta

Director, Advanced Query Processing Lab

Topics

Data Analysis
Data Science
Database Design
Computing Platforms
Data Management
Big Data
Graph Theory
Query Languages
Scalability
Analytics

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
تصميم قواعد البيانات
منصات الحوسبة
إدارة البيانات
البيانات الضخمة
نظرية الرسوم البيانية
لغات الاستعلام
Scalability
Analytics

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