= 2012-10-24 =

== Hadoop World 2012 ==

 * '''Big Answers''' - Mike Olson (Cloudera)
   * http://cloudera.com/impla - Apache License , Realtime Query Engine
   * Application : Agriculture , Social Security
 * '''The End of the Data Warehouse''' - Ben Werther (Platfora)
   * Add Datawarehouse between Web Interface and Hadoop
   * In-Memory BI
 * '''Moneyball for New York City''' - Michael Flowers (NYC Mayor's Office of Policy and Strategic Planning) 
   * Introduce "Data Sensing Lab" in the venue. (based on Arduino)
   * '''Smart City''' - How to use NYC data more effectively
   * Fire Risk Inspection Analytic - 預測火災的風險有多高 -> 有效地降低了
   * 25 Years old staff , Start on 2005 PCs and MS Excel
   * Use Web (Wall) for collaberation editing
   * Grow and Enable Culture of Data-driven
 * '''Thinking Big Together: Driving the Future of Data Science''' - Annika Jimenez (EMC Greenplum), Anthony Goldbloom (Kaggle) 
   * Data, Technology, Application, Data Science
   * http://openchorus.org
   * Kaggle - in short of professional exprt - 每次會議都會說公司在徵才，也代表這個領域的人才缺乏。
   * http://greenplum.com/communities
 * '''The Composite Database''' - Rich Hickey (Datomic) 
   * Big Data 雜誌 - 
   * Strata - 9:1 -> 投稿:接受
   * breakdown tranditional database : storage, index, query
   * Indexing as a component : Storage -> Indexing -> Ordered Storage
   * Uqery as a component : 
   * Coordination as component
   * Other component : notification, memory indexes (liveness), caching
 * '''The Democratization of Big Data: Bringing Hadoop to the Masses''' - James Markarian (Informatica)
   * 用分子表示是說明 Hadoop Ecosystem 的關聯性
   * coding model work, but hadoop ecosystem need a friendly interface
 * '''Big Data Direct – The Era of Self-driven Big Data Exploration Sharmila''' - Shahani-Mulligan (ClearStory Data) 
   * Ever-increasing complexity of sources - growing open data api - 資料的複雜度(complexity)愈來愈高
   * 混合 private data 與 public data 可以得到許多洞見(insight) - 舉了不同的案例(Ex. 水管, Web Site SEO)
   * $35 billion industry for databases and data containers
   * Future : new era to analyze big data easilly and balance it with judgment and experience
   * Solution Must Aid Human Insight - Big Data + Amplified Human Intelligence
   * Next Generation Visualization - Only One Part of the Answer ( 一張圖也只是為了解釋某個答案的一部份)
 * '''Bringing the 'So What' to Big Data''' - Tim Estes (Digital Reasoning) 
   * Machine Reading problem
   * It's about People understanding data to change and impove their lives
   * Big understanding > Big Data
   * Key : Machine Learning , Bare Metal, Application
   * People > Data 
   * Ex. 支持國家安全的分析, 確保自由。
   * Ex. 從廣告找出人蛇集團，拯救未成年少女被綁架。
   * Ex. 降低金融風險
   * Mission > Consumerism
   * Three Key mission: (1) Security and Freedom of World (2) (3)