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.
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University of California San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
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- 4 stars26,59 %
- 3 stars11,29 %
- 2 stars3,60 %
- 1 star2,78 %
Top-Bewertungen von GRAPH ANALYTICS FOR BIG DATA
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 ....
Gives wonderful overview and hands on experience Graph analytic. Course Contents were very crisp and pretty comprehensive for a novice.
Graphs are quite interesting and in many cases offer a better representation than relational databases.
One can gain lots of insights looking at graphs.
great introduction to networks and exposure to software tools that can be used to graph and analyze large scale graph data.
Über den Spezialisierung 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.
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