wiki:jazz/12-10-24

Version 3 (modified by jazz, 12 years ago) (diff)

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2012-10-24

Hadoop World 2012

  • Big Answers - Mike Olson (Cloudera)
  • 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)
  • 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。