1 / 10

introduction to BIG DATA

Big data is data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them. ... There are a number of concepts associated with big data: originally there were 3 concepts volume, variety, velocity.

professionalguru
Télécharger la présentation

introduction to BIG DATA

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Basic Concepts in BigData By ProfessionalGuru

  2. What is “bigdata”? • "Big Data are high-­‐volume, high-­‐velocity, and/or high-­‐variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization” (Gartner2012) • Complicated (intelligent) analysis of data may make a small data “appear” to be“big” • Bottom line: Any data that exceeds our current capability of processing can be regarded as“big” http://professional-guru.com

  3. Why is “big data” a “bigdeal”? • Government • Obama administration announced “big data”initiative • Many different big data programslaunched • PrivateSector • Walmart handles more than 1 million customer transactions every hour, which is imported into databases estimated to contain more than 2.5 petabytes ofdata • Facebook handles 40 billion photos from its userbase. • Falcon Credit Card Fraud Detection System protects 2.1 billion active accounts world-wide • Science • Large Synoptic Survey Telescopewillgenerate 140Terabyte of data every 5days. • Biomedical computation like decoding human Genome & personalizedmedicine • Social science revolution • – -… http://professional-guru.com

  4. Lifecycle of Data: 4“A”s Aggregation Analysis Acquisition Application http://professional-guru.com

  5. Computational View of BigData DataVisualization DataAnalysis DataAccess DataIntegration DataUnderstanding Forma&ng,Cleaning Storage Data http://professional-guru.com

  6. Big Data & RelatedTopics/Courses CS199 Human-­‐ComputerInteraction DataVisualization MachineLearning InformationRetrieval Databases DataAnalysis DataAccess DataMining ComputerVision SpeechRecognition DataIntegration DataUnderstanding Natural LanguageProcessing DataWarehousing Forma&ng,Cleaning SignalProcessing ManyApplications! Data Storage InformationTheory http://professional-guru.com

  7. Some Data AnalysisTechniques Visualization Classification PredictiveModeling TimeSeries Clustering http://professional-guru.com

  8. Example of Analysis: Clustering & Latent FactorAnalysis GroupM2 GroupM1 GroupU1 GroupU2 http://professional-guru.com

  9. Example of Analysis: PredictiveModeling GroupM2 GroupM1 GroupU1 GroupU2 (Binary)Classification Does user2 like moviem? What rating is user2 likely going to give moviem? Regression http://professional-guru.com

  10. Some topics we’llcover http://professional-guru.com

More Related