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Close Encounters with the Third Kind of Database

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Close Encounters with the Third Kind of Database

Data & Analytics
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Close Encounters with the Third Kind of Database Eric Frenkiel, MemSQL CEO Feb 19, 2015 • San Jose, CA
The real-time database for transactions and analytics
Going Real-Time is the Next Phase for Big Data More Sensors More Interconnectivity Users Demand More …and analysts and data scientists are at risk of being left behind
Barriers to Going Real-Time Data Loading Partial View Slow and Dirty Data
Data Scientists’ Most Time Consuming Tasks 52.9%66.7% Cleaning and Organizing Data Collecting Data Sets Source: CrowdFlower 2015 Data Scientist Report
Close Encounters with the Third Kind of Database
It’s Hard for a Static Model to Fit a Dynamic Application Model Application
Making the Model Real-time
Static Dynamic
Partial View Whole Picture
Insight Impact
Pinterest Demo – MemSQL Spark Connector Today at 10:40am -- Room LL20 D
Thank You! Don’t Miss Our Breakout Session Pinterest Demo Novus Case Study Games and Giveaways Bringing OLAP Fully Online: Today at 10:40am LL20 D Booth #1015

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Close Encounters with the Third Kind of Database

Editor's Notes

  1. Pinterest Using MemSQL with Spark Use Spark Streaming to filter and enrich event data Join event tables in MemSQL to populate real-time dashboards Enables Pinterest to recognize trends as they develop instead of after the fact
  2. Pinterest Using MemSQL with Spark Use Spark Streaming to filter and enrich event data Join event tables in MemSQL to populate real-time dashboards Enables Pinterest to recognize trends as they develop instead of after the fact