Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: A conversation with Jay Kreps about Project Voldemort
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > A conversation with Jay Kreps about Project Voldemort
Business IntelligenceData MiningData WarehousingPredictive Analytics

A conversation with Jay Kreps about Project Voldemort

TonyBain
TonyBain
4 Min Read
SHARE

I had the pleasure of talking with Jay Kreps yesterday about Project Voldemort, here some notes from this conversation.

  • Jay is a cool guy, practically bounces off the walls when talking about Project Voldemort.  I think I am like that sometimes when talking about things I am working on.
  • Project Voldemort is the open development of something that was created to serve a need that LinkedIn had.  LinkedIn is supporting the project and supporting the move to make it open.
  • There is no apparent short term plan to turn Project Voldemort into anything large, such as a spin-off company or a cloud based service.
  • Voldemort is used extensively at LinkedIn for online queries.  Volemort is not used for analytical queries, data is instead fed into a data warehouse for this purpose.
  • The primary focus of Project Voledmort is scalability and predictability of performance.  Voledmort is a key/value store, not document orientated storage.
  • Project Voldemort uses a hashing algorithm to allow any node to know that location of data on any other node.  This avoids the need to have centralized lookup nodes (which results in multiple hops and potential bottlenecks).
  • Project Voldemort doesn’t use REST.  During…

I had the pleasure of talking with Jay Kreps yesterday about Project Voldemort, here some notes from this conversation.

More Read

Interactive Intelligence Doubles Down on Cloud Computing
Big Leap Forward: Analytics Keynote at UK & Ireland SAP User Group Conference 2011
In-Database analytics: Teradata and SAS lead in speed by ‘thinking inside the box’
Package Update Roundup: Feb 2009
Learning SAS for SPSS Users
  • Jay is a cool guy, practically bounces off the walls when talking about Project Voldemort.  I think I am like that sometimes when talking about things I am working on.
  • Project Voldemort is the open development of something that was created to serve a need that LinkedIn had.  LinkedIn is supporting the project and supporting the move to make it open.
  • There is no apparent short term plan to turn Project Voldemort into anything large, such as a spin-off company or a cloud based service.
  • Voldemort is used extensively at LinkedIn for online queries.  Volemort is not used for analytical queries, data is instead fed into a data warehouse for this purpose.
  • The primary focus of Project Voledmort is scalability and predictability of performance.  Voledmort is a key/value store, not document orientated storage.
  • Project Voldemort uses a hashing algorithm to allow any node to know that location of data on any other node.  This avoids the need to have centralized lookup nodes (which results in multiple hops and potential bottlenecks).
  • Project Voldemort doesn’t use REST.  During testing a REST interface was found to have too great a latency and instead Project Voldemort has its own native driver interface.
  • The name of course comes from Harry Potter.  For those not familiar, Voldemort’s sole was broken up in pieces and to kill Voldemort Harry had to kill all the pieces.  Project Voldemort aims to mimic the spirit of this, to have scalability but with no single point of failure.


Link to original postInnovations in information management

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

enterprise 2.0 best practices
CRM

Enterprise 2.0 Best Practices

6 Min Read

Analytics, Schmanalytics! How to Evaluate an Analyst

9 Min Read

Predictive Policing with Big Data

0 Min Read

The Biggest BI Blunder

9 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?