Graph your universe: A non-too subtle introduction to Neo4j (Webinar)

*************** Webinar Link (Must register to it!!!) ******************
https://info.neo4j.com/0817-register.html
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https://lh4.googleusercontent.com/QDhmWU-nh3_cEVc9dSBH5CgUg50uQMkHxYqLr6PNE_haJ4t3SDyjJApscvihwn07ivEPGWbz3ZQmFTQ9l6ZABkEj5l_ch784RARthywKbgFT8I-BqT_cLnDXiPihROwjgOEIkxmV

Abstract:

In this webinar we’ll go from zero to graph.
First from the user perspective we’ll introduce graphs and graph modelling, showing how even vastly complicated data sets can be modelled, stored, and queried with ease in Neo4j. Meanwhile we’ll also catch glimpses of Neo4j’s architecture and see how we can design models and write queries that are mechanically sympathetic to that design and really fly. We’ll also talk about the easiest ways of getting going yourself.

Rounding off the session we’ll cover a selection of use-cases from large-scale neo4j users and then open it up for some friendly Q&A.

https://lh4.googleusercontent.com/yOXuhQqrOpD6C2K-5pjlf3Jg_hTbFAMBkirPCsvHS_uV1F3UsTN_UnDgd15XdASQGVepSJHtUJDWGnZxsfaUFQ_P0rVfMMxyHEdwElMCpeN3hEtXJv5FBpot6nSClU0m3TOWgvc2

Bio:

Dr. Jim Webber (https://www.linkedin.com/in/jim-webber-a3b5033) is Chief Scientist with Neo Technology (http://neotechnology.com/) the company behind the popular open source graph database Neo4j (http://neo4j.org/), where he where he works on R&D for highly scalable graph databases and writes open source software. Jim has written two books on integration and distributed systems: “Developing Enterprise Web Services (http://www.amazon.com/exec/obidos/tg/detail/-/0131401602/ref=ase_jimwebbesblog-20/103-3928723-3992630)” on XML Web Services and “REST in Practice (http://www.amazon.com/gp/product/0596805829/ref=s9_simh_gw_p14_i1?pf_rd_m=ATVPDKIKX0DER&pf_rd_s=center-2&pf_rd_r=1FJEX5ASH5KQ29FTW4J1&pf_rd_t=101&pf_rd_p=470938631&pf_rd_i=507846)” on using the Web for building large-scale systems. His latest book is “Graph Databases (http://graphdatabases.com/)” which focuses on the Neo4j (http://neo4j.org/) database.
His blog is located at http://jimwebber.org (http://jimwebber.org/) and he tweets often @jimwebber (http://twitter.com/jimwebber).