Big Data - Big Insights - Waze @Google
•Descargar como PPTX, PDF•
5 recomendaciones•2,043 vistas
Waze @Google is a Big Data company. We use data and complex analytics to gain insights and make decisions on a daily basis. This presentations includes teasers and ideas for you based on real use cases from Waze
Recomendados
Más contenido relacionado
La actualidad más candente
La actualidad más candente (20)
Destacado
Destacado (20)
Similar a Big Data - Big Insights - Waze @Google
Similar a Big Data - Big Insights - Waze @Google (20)
Más de Daniel Marcous
Último
Último (20)
Big Data - Big Insights - Waze @Google
- 1. Big Insights with Big Data Actionable Leads Daniel Marcous Google, Waze, Data Wizard dmarcous@google.com
- 2. Data is Everything. Apps (and companies) win or lose based on how they use it.
- 3. Organize the world’s information and make it universally accessible and useful. Google’s Mission 3 “
- 4. Google excels at collecting, storing, and extracting value from big quantities of data Google is a (Big) Data Company
- 5. Google in just 1 minute: 1000 new devices 3M Searches 100 Hours 1B Activated Devices 100M GB Search Content
- 6. 10+ Years of Tackling Big Data Problems 6 Google Papers 20082002 2004 2006 2010 2012 2014 2015 GFS Map Reduce Flume Java Millwheel Open Source 2005 Google Cloud Product s BigQuery Pub/Sub Dataflow Bigtable BigTable Dremel PubSub Apache Beam Tensorflow
- 7. “Google is living a few years in the future and sending the rest of us messages” Doug Cutting, Hadoop Co-Creator
- 8. Capture ProcessStore Analyze Data on your terms
- 9. Capture ProcessStore Analyze Data on your terms
- 11. Machine Learning “Machine Learning is concerned with computer programs that automatically improve their performance through experience. “ Herbert Simon Turing Award 1975 Nobel Prize in Economics 1978
- 12. Machine Learning “A breakthrough in machine learning would be worth ten Microsofts” (Bill Gates, Chairman, Microsoft) “Machine learning is the next Internet” (Tony Tether, Director, DARPA) “Machine learning is the hot new thing” (John Hennessy, President, Stanford)
- 13. Google is no stranger to ML
- 14. So what do you actually do? Gain Actionable Insights!
- 15. Trending Locations - Hilton TLV
- 16. Trending Locations / Day of Week Breakdown
- 18. Optimising - Ad clicks / Time from drive start
- 19. Time to Content (US) - Day of week / Category
- 20. Irregular Events / Anomaly Detection Major events, causing out of the ordinary traffic/road blocks etc’ affecting large numbers of users.
- 21. Dangerous Places - Clustering Find most dangerous areas / streets, using custom developed clustering algorithms ● Alert authorities / users ● Compare & share with 3rd parties (NYPD)
- 22. Server Distribution Optimisation Calculate the optimal routing servers distribution according to geographical load. ● Better experience - faster response time ● Saves money - no need for redundant elastic scaling of servers
- 23. Text Mining - Topic Analysis Topic 1 - ETA Topic 2 - Unusual Topic 3 - Share info Topic 4 - Reports Topic 5 - Jams Topic 6 -Voice wazers usual road social still morgan eta traffic driving drivers will ang con stay info reporting update freeman zona today using helped drive kanan usando times area nearby delay voice real clear realtime traffic add meter tiempo slower sharing jam jammed kan carretera accident soci drive near masuk
- 24. Text Mining - New Version Impressions ● Text analysis - stemming / stopword detection etc. ● Topic modeling ● Sentiment analysis Waze V4 update : ● Good - “redesign”, ”smarter”, “cleaner”, “improved” ● Bad - “stuck” Overall very positive score!
- 25. Text Mining - Store Sentiments
- 26. Text Mining - Sentiment by Time & Place