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CourseraData Structures And AlgorithmsFree courseCertificate

Graph Analytics for Big Data

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.*********Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following alo

3.9
160 reviews

Created by: Amarnath Gupta

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Course Description

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.
product length iconTime: 15h

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Instructor Details

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Amarnath Gupta received his Ph.D. in Computer Science from Jadavpur University in India. He is currently a full Research Scientist at the San Diego Supercomputer Center of UC San Diego, and directs the Advanced Query Processing Lab. His primary areas of research include semantic information integration, large-scale graph databases, ontology management, event data management and query processing techniques. Before joining UC San Diego, he was the Chief Scientist at Virage, Inc., a startup company in multimedia information systems. Dr. Gupta has authored over 100 papers and a book on Event Modeling, holds 13 patents and is a recipient of the 2011 ACM Distinguished Scientist award.

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Reviews

3.9

160 reviews in total

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By Liliana d C C M on 11-Nov-19

buen curso

By Carlos M on 8-Oct-19

Unfortunately the videos and lectures about Neo4j installation is not up to date making it difficult to install by the learner. Mostly if you take into account that not all the students have the technical background to do it. On the other hand, after installation Neo4j was returning an error that don't let complete the labs. Regardless these issues, all the other course content is really helpful to get a high level understanding of how Graph Analytics can be used in a Big Data ecosystem.

By Shubhradeep B on 22-Sep-19

very large and to some extent too informative in nature. requires full time classes to understand these concepts specially last parts.

By Reinaldo L N on 12-Sep-19

The last week had exercises run on a Linux VM and, different from the other courses, there were no instructions on installing Virtual Box and the Cloudera VM. I had to get the instructions at the forum, but they should be at the first week readings.

By Armando P on 10-Sep-19

Sorry but didnt see the point to this course as part of the overall specialization. Maybe as part of the "Load" in a ETL workflow but there would have been other options, better options. Felt it was just thrown in.

By Daniel K on 10-Aug-19

Week 5 seemed irrelevant

By Rahul P on 6-Aug-19

The last week was absolutely not fruitful at all, with no such introduction given to Scala. That took away all the sheen from the course.

By LIU, S T on 6-Jul-19

The things taught is easy and boring

By Carlos C on 3-Jul-19

It's necessary to update the documentations of the course

By Luis A R on 18-Jun-19

Graphical analyses are more pleasing to understand trends and their reperessation. Excellent Neo4j and GraphX tools

By Carlos V on 30-Apr-19

It was very interesting and helpful. I would also love to know what are the current web-based approaches to graph analytics and visualisation. The course was very insightful but the week 5 is a bit dense on the number of tools that interact between themselves. I understand these complex platforms are more aimed to complex and dense scenarios such as those from Facebook and the like, and it could also be useful to learn small alternatives for smaller deployments. Very interesting though!

By Nelson R on 9-Apr-19

Some of the hands-on practices fail due to unknown issues but, after reading the blogs somebody finds solutions but nobody from courser or UC help or adv

Showing 12 of 160 reviews

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Overall Score : 78 / 100

Graph Analytics for Big Data
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  • Video Duration: icon 15h
  • Price: Free
  • Provider: icon Coursera
  • University: icon University of California San Diego
  • Language: icon English
  • Certificate: icon Yes

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