2nd ESWC Summer School, Kalamaki 2012

Big-Data Tutorial

author: Marko Grobelnik, Artificial Intelligence Laboratory, Jožef Stefan Institute
published: July 4, 2012, recorded: May 2012, views: 7175

Slides

Slides
0:00	Big - Data Tutorial
0:35	Outline
1:18	Big data - a growing torrent
3:00	Big data - capturing its value
3:38	What is Big - Data?
4:41	Characterization of Big - Data
5:39	Big - Data popularity on the Web
7:47	Big - Data in Gartner Hype - Cycle 2011
9:05	Why Big - Data?
9:34	Enabler: Data storage
10:35	Enabler: Computation capacity
12:04	Enabler: Data availability
13:27	Type of available data
14:40	Data available from social networks and mobile devices
16:09	Data available from ''Internet of Things''
17:43	Big - Data value chain
18:52	Gains from Big - Data per sector
21:54	Predicted lack of talent for Big - Data related technologies
23:16	Big - Data value chain
24:40	Tools
24:43	Types of tools typically used in Big - Data scenarios
27:02	Distributed infrastructure
28:31	Distributed processing
30:52	MapReduce
32:30	High - performance schema - free databases
35:31	Techniques
35:33	When Big - Data is really a hard problem?
38:39	What matters when dealing with data?
42:39	Meaningfulness of Analytic Answers (1/2)
43:58	Meaningfulness of Analytic Answers (2/2)
48:09	What are ''atypical'' operators on Big - Data
51:12	Analytical operators on Big - Data
51:28	What are ''atypical'' operators on Big - Data
53:06	Analytical operators on Big - Data
53:51	...guide to Big - Data algorithmics
54:34	Applications
54:46	Application: Recommendation
55:47	The context of each click on the web site used for recommendation
56:33	Application: Online Advertising for NYTimes
56:59	Scale of one day NYTimes data
57:21	Application: Telecommunication Network Monitoring
59:07	Application: Monitoring global main stream news
59:12	http://newsfeed.ijs.si/
59:51	Semantic text enrichment (DBpedia, OpenCyc, ...) with Enrycher
60:10	Application: Text visualization
60:15	Application: Analysis of MSN - Messenger Social - network
61:00	Data Statistic: Total activity
61:50	Who talks to whom: Number of conversations
62:33	Who talks to whom: Conversation duration
63:14	Geography and communication
63:48	How is Europe talking
64:10	Network: Small - word
66:28	Literature on Big - Data
67:42	...to conclude

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