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.
About this Course
Skills you will gain
- 5 stars55.72%
- 4 stars26.64%
- 3 stars11.29%
- 2 stars3.57%
- 1 star2.76%
TOP REVIEWS FROM GRAPH ANALYTICS FOR BIG DATA
Excellent information and quite condensed. Since it is not examined, its ok for it to be condensed, for future reference we know where to get the information.
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
Graphs are quite interesting and in many cases offer a better representation than relational databases.
One can gain lots of insights looking at graphs.
I found a new love in this course Neo4j. Graphs are really powerful. You should expect a very intensive theoretical and hands-on knowledge to takeaway from this course. Think like a vertex ....
About the Big Data Specialization
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