SlideShare una empresa de Scribd logo
1 de 13
Big Data Made Easy
We use a lot of new-tech tools
We’ve written a lot of new tech tools

       Ironfan                   Wukong
       Chef specialization for   Ruby library for Hadoop
       Big Data in the cloud




       Wonderdog                 Swineherd
       Hadoop interface for      Workflow engine for
       ElasticSearch             Hadoop jobs
But it’s not about the technology…




              … it’s about the culture
Hiring Process




                Technical
                              Team       Initial      Full
 Initial Pass     Phone
                            Interview   Contract   Employment
                Interview
Management Structure
   Flat: I regularly talk with C-level folks

   Open: Everyone has well-understood roles

   Fair: Leadership leads, not orders about

   Understanding: Problems are addressed, not
    blamed
Employee Support
   Fully stocked kitchen

   Daily group lunches

   Employee joy fund and voting

   Company outings, both impromptu and formal

   Some fun and games, too
Employee Development
   Employee’s focus is largely self-directed

   Lack of experience is (almost) never a
    determining factor

   Common language for problems and frustration

   Make employees awesomely valuable, and
    totally uninterested in leaving
Technical Culture
   Good ideas can come from anyone

   Fail forward, not roll-back

   Repeatability is your friend

   Automate out of boredom or fear, not efficiency

   Failure from audacity is better than failure from
    inaction
Infrastructure Choices
   More assumed access for developers

   Small, decoupled, late-binding wherever
    possible

   Build anew, rather than repurpose an old

   Actively pull unused code and data from
    production
Beyond DevOps
   NoOps +1: everyone technically does part of
    Ops, it’s just my specialty

   AllOps: product & marketing can help Ops, and
    vise versa

   It’s all about removing barriers to being
    awesome, everywhere
What’s next?
   How do we handle the impedance mismatch
    between our model and our clients’ models?

   What do we do as the company grows beyond
    the size of the monkeysphere?

   How should we tackle user segmentation and
    security as we build our Platform out?
Contact Us – We’re Hiring!



                    855-DATA-FUN

                    infochimps.com/careers

                    careers@infochimps.com

Más contenido relacionado

Más de Infochimps, a CSC Big Data Business

Más de Infochimps, a CSC Big Data Business (11)

451 Research Impact Report
451 Research Impact Report451 Research Impact Report
451 Research Impact Report
 
[Webinar] Top Strategies for Successful Big Data Projects
[Webinar] Top Strategies for Successful Big Data Projects[Webinar] Top Strategies for Successful Big Data Projects
[Webinar] Top Strategies for Successful Big Data Projects
 
[Webinar] High Speed Retail Analytics
[Webinar] High Speed Retail Analytics[Webinar] High Speed Retail Analytics
[Webinar] High Speed Retail Analytics
 
Infochimps + CloudCon: Infinite Monkey Theorem
Infochimps + CloudCon: Infinite Monkey TheoremInfochimps + CloudCon: Infinite Monkey Theorem
Infochimps + CloudCon: Infinite Monkey Theorem
 
Taming the Big Data Tsunami using Intel Architecture
Taming the Big Data Tsunami using Intel ArchitectureTaming the Big Data Tsunami using Intel Architecture
Taming the Big Data Tsunami using Intel Architecture
 
The Other Way of Doing Big Data
The Other Way of Doing Big DataThe Other Way of Doing Big Data
The Other Way of Doing Big Data
 
Real-Time Analytics: The Future of Big Data in the Agency
Real-Time Analytics: The Future of Big Data in the AgencyReal-Time Analytics: The Future of Big Data in the Agency
Real-Time Analytics: The Future of Big Data in the Agency
 
Ironfan: Your Foundation for Flexible Big Data Infrastructure
Ironfan: Your Foundation for Flexible Big Data InfrastructureIronfan: Your Foundation for Flexible Big Data Infrastructure
Ironfan: Your Foundation for Flexible Big Data Infrastructure
 
The Power of Elasticsearch
The Power of ElasticsearchThe Power of Elasticsearch
The Power of Elasticsearch
 
Case Study: Digital Agency Turbocharges Social Listening and Insights with t...
Case Study: Digital  Agency Turbocharges Social Listening and Insights with t...Case Study: Digital  Agency Turbocharges Social Listening and Insights with t...
Case Study: Digital Agency Turbocharges Social Listening and Insights with t...
 
Meet the Infochimps Platform
Meet the Infochimps PlatformMeet the Infochimps Platform
Meet the Infochimps Platform
 

Último

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 

Último (20)

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 

Agile Development at Infochimps

  • 2. We use a lot of new-tech tools
  • 3. We’ve written a lot of new tech tools Ironfan Wukong Chef specialization for Ruby library for Hadoop Big Data in the cloud Wonderdog Swineherd Hadoop interface for Workflow engine for ElasticSearch Hadoop jobs
  • 4. But it’s not about the technology… … it’s about the culture
  • 5. Hiring Process Technical Team Initial Full Initial Pass Phone Interview Contract Employment Interview
  • 6. Management Structure  Flat: I regularly talk with C-level folks  Open: Everyone has well-understood roles  Fair: Leadership leads, not orders about  Understanding: Problems are addressed, not blamed
  • 7. Employee Support  Fully stocked kitchen  Daily group lunches  Employee joy fund and voting  Company outings, both impromptu and formal  Some fun and games, too
  • 8. Employee Development  Employee’s focus is largely self-directed  Lack of experience is (almost) never a determining factor  Common language for problems and frustration  Make employees awesomely valuable, and totally uninterested in leaving
  • 9. Technical Culture  Good ideas can come from anyone  Fail forward, not roll-back  Repeatability is your friend  Automate out of boredom or fear, not efficiency  Failure from audacity is better than failure from inaction
  • 10. Infrastructure Choices  More assumed access for developers  Small, decoupled, late-binding wherever possible  Build anew, rather than repurpose an old  Actively pull unused code and data from production
  • 11. Beyond DevOps  NoOps +1: everyone technically does part of Ops, it’s just my specialty  AllOps: product & marketing can help Ops, and vise versa  It’s all about removing barriers to being awesome, everywhere
  • 12. What’s next?  How do we handle the impedance mismatch between our model and our clients’ models?  What do we do as the company grows beyond the size of the monkeysphere?  How should we tackle user segmentation and security as we build our Platform out?
  • 13. Contact Us – We’re Hiring! 855-DATA-FUN infochimps.com/careers careers@infochimps.com