Startupfest 2013 - Data in Action - Ari Gesher

  • 792 views
Uploaded on

Data in action is all about real-world solutions. We'll look at three diverse use cases for human-driven big data analysis systems: stopping credit card bust-out fraud, realtime home pricing, and …

Data in action is all about real-world solutions. We'll look at three diverse use cases for human-driven big data analysis systems: stopping credit card bust-out fraud, realtime home pricing, and managing the chaotic information environment in disaster recovery. For each one, we'll break down the technical architecture and the real-world impact of each solution. Please bring your questions and tales from the field!

More in: Business , Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
792
On Slideshare
0
From Embeds
0
Number of Embeds
3

Actions

Shares
Downloads
0
Comments
0
Likes
2

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide
  • Here we see a brief history of big data, showing a clear doubling of the size of data over time…In all seriousness, the dawn of big data might be 1992, when the first 1 TB database came into existence, built by Teradata for Wal-MartThe dawn of modern big data technology, horizontally-scalable technologies started around the turn of the century (isn’t great that we get to use that phrase???) with the release of apache luceneGFS – 2002 / Map-Reduce – 2003 / Hadoop – 2005 / BigTable – 2006 / Amazon Dynamo – 2007 / Facebook Cassandra – 2008 / NoSQL dubbed – 2009 / Google Dremel – 2010 (interactive analysis)
  • Today we have completed another major milestone on providing value to our customers by announcing a major innovation: Aster SQL-H™, a seamless way to execute SQL & SQL-MapReduce on Apache™ Hadoop™ data.These things do have value

Transcript

  • 1. Data in Action Ari Gesher <agesher@palantir.com> Engineering Ambassador, Palantir Technologies
  • 2. DATA DATA DATA DATADATA
  • 3. OPPORTUNITY
  • 4. Data as Opportunity • Integration • Scale • Automated Analysis • Interface / Access
  • 5. Links on Twitter: @alephbass Q & A