SlideShare a Scribd company logo
Data types for the
Real World ™
Eric Torreborre
YOW LambdaJam 2015
Yaron Minsky Make illegal state
unrepresentable!
Make illegal state
unrepresentable!
Make illegal state
unrepresentable!
Make illegal state
unrepresentable!
Real W
orld?
Constraints
CS
Data
structures
“File line”
Errors
interpret
Errors
Data
structures
Non-empty list
CS
Parser
Real World?
S3 EC2 EMR
sync
sync
sync
storage
execution execution
sync
storage
execution
“Local”
storage
execution
“Local - test”
sync
storage
“Hadoop”
execution
sync
storage
execution
“Hadoop - test”
sync
storage
“Hadoop – half sync”
execution
main
Location
Run application
“sync” files
download?
where?
how?
upload?
“sync” files
sync dir valid?
sync
sync
sync
storage
execution execution
Execution location
“sync” directory
unrepresentable!
“sync” locations
download?
where?
location execution
local local
hdfs
S3 local
hdfs
hdfs local
hdfs
Synchronized location
createSynchronizedLocation
9 cases
unrepresentable!
synchronize
efficient!
Locations
Location
ExecutionLocation
SynchronizedLocation
Datatypes are
cheap!
Make illegal state
unrepresentable!
Make illegal state
unrepresentable!
For the Real World ™

More Related Content

What's hot

Riot Games - Player Focused Pipeline - Stampedecon 2015
Riot Games - Player Focused Pipeline - Stampedecon 2015Riot Games - Player Focused Pipeline - Stampedecon 2015
Riot Games - Player Focused Pipeline - Stampedecon 2015
sean_seannery
 
Presto @ Netflix: Interactive Queries at Petabyte Scale
Presto @ Netflix: Interactive Queries at Petabyte ScalePresto @ Netflix: Interactive Queries at Petabyte Scale
Presto @ Netflix: Interactive Queries at Petabyte Scale
DataWorks Summit
 
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
(BDT303) Running Spark and Presto on the Netflix Big Data Platform(BDT303) Running Spark and Presto on the Netflix Big Data Platform
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
Amazon Web Services
 
Dataflow in 104corp - DataConTW2018
Dataflow in 104corp - DataConTW2018Dataflow in 104corp - DataConTW2018
Dataflow in 104corp - DataConTW2018
Gavin Lin
 
Atlantisで実現するTerraformのGitOps
Atlantisで実現するTerraformのGitOpsAtlantisで実現するTerraformのGitOps
Atlantisで実現するTerraformのGitOps
理弘 山崎
 
Presentation kyushu-2018
Presentation kyushu-2018Presentation kyushu-2018
Presentation kyushu-2018
masahitojp
 
Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...
Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...
Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...
Yahoo Developer Network
 
Hw09 Building Data Intensive Apps A Closer Look At Trending Topics.Org
Hw09   Building Data Intensive Apps  A Closer Look At Trending Topics.OrgHw09   Building Data Intensive Apps  A Closer Look At Trending Topics.Org
Hw09 Building Data Intensive Apps A Closer Look At Trending Topics.OrgCloudera, Inc.
 
Tech Thursday - Beer & DevOps 24.11.
Tech Thursday - Beer & DevOps 24.11.Tech Thursday - Beer & DevOps 24.11.
Tech Thursday - Beer & DevOps 24.11.
Nebula Oy
 
Dataflow in 104corp - AWS UserGroup TW 2018
Dataflow in 104corp - AWS UserGroup TW 2018Dataflow in 104corp - AWS UserGroup TW 2018
Dataflow in 104corp - AWS UserGroup TW 2018
Gavin Lin
 
«Почему Spark отнюдь не так хорош»
«Почему Spark отнюдь не так хорош»«Почему Spark отнюдь не так хорош»
«Почему Spark отнюдь не так хорош»
Olga Lavrentieva
 

What's hot (12)

Riot Games - Player Focused Pipeline - Stampedecon 2015
Riot Games - Player Focused Pipeline - Stampedecon 2015Riot Games - Player Focused Pipeline - Stampedecon 2015
Riot Games - Player Focused Pipeline - Stampedecon 2015
 
Presto @ Netflix: Interactive Queries at Petabyte Scale
Presto @ Netflix: Interactive Queries at Petabyte ScalePresto @ Netflix: Interactive Queries at Petabyte Scale
Presto @ Netflix: Interactive Queries at Petabyte Scale
 
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
(BDT303) Running Spark and Presto on the Netflix Big Data Platform(BDT303) Running Spark and Presto on the Netflix Big Data Platform
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
 
Dataflow in 104corp - DataConTW2018
Dataflow in 104corp - DataConTW2018Dataflow in 104corp - DataConTW2018
Dataflow in 104corp - DataConTW2018
 
Atlantisで実現するTerraformのGitOps
Atlantisで実現するTerraformのGitOpsAtlantisで実現するTerraformのGitOps
Atlantisで実現するTerraformのGitOps
 
Presentation kyushu-2018
Presentation kyushu-2018Presentation kyushu-2018
Presentation kyushu-2018
 
Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...
Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...
Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...
 
Hw09 Building Data Intensive Apps A Closer Look At Trending Topics.Org
Hw09   Building Data Intensive Apps  A Closer Look At Trending Topics.OrgHw09   Building Data Intensive Apps  A Closer Look At Trending Topics.Org
Hw09 Building Data Intensive Apps A Closer Look At Trending Topics.Org
 
Tech Thursday - Beer & DevOps 24.11.
Tech Thursday - Beer & DevOps 24.11.Tech Thursday - Beer & DevOps 24.11.
Tech Thursday - Beer & DevOps 24.11.
 
Dataflow in 104corp - AWS UserGroup TW 2018
Dataflow in 104corp - AWS UserGroup TW 2018Dataflow in 104corp - AWS UserGroup TW 2018
Dataflow in 104corp - AWS UserGroup TW 2018
 
«Почему Spark отнюдь не так хорош»
«Почему Spark отнюдь не так хорош»«Почему Spark отнюдь не так хорош»
«Почему Spark отнюдь не так хорош»
 
PyconUK-2015
PyconUK-2015PyconUK-2015
PyconUK-2015
 

Similar to Datatypes for the real world

Simplify Big Data with AWS
Simplify Big Data with AWSSimplify Big Data with AWS
Simplify Big Data with AWS
Julien SIMON
 
Best Practices for Hosting Web Applications on AWS
Best Practices for Hosting Web Applications on AWSBest Practices for Hosting Web Applications on AWS
Best Practices for Hosting Web Applications on AWSAmazon Web Services
 
MongoDB World 2018: Spark and Machine Learning
MongoDB World 2018: Spark and Machine LearningMongoDB World 2018: Spark and Machine Learning
MongoDB World 2018: Spark and Machine Learning
MongoDB
 
Building High-availability Websites on AWS
Building High-availability Websites on AWSBuilding High-availability Websites on AWS
Building High-availability Websites on AWSAmazon Web Services
 
High-Availability Websites and Web Applications with AWS
High-Availability Websites and Web Applications with AWSHigh-Availability Websites and Web Applications with AWS
High-Availability Websites and Web Applications with AWSAmazon Web Services
 
BDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSBDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWS
Amazon Web Services
 
Websites on AWS
Websites on AWSWebsites on AWS
Websites on AWS
Amazon Web Services
 
Connecting Your Data Analytics Pipeline
Connecting Your Data Analytics PipelineConnecting Your Data Analytics Pipeline
Connecting Your Data Analytics Pipeline
Amazon Web Services
 
CTO Night & Days 2015 Winter - AWS Mobile Development
CTO Night & Days 2015 Winter - AWS Mobile DevelopmentCTO Night & Days 2015 Winter - AWS Mobile Development
CTO Night & Days 2015 Winter - AWS Mobile Development
崇之 清水
 
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
Amazon Web Services
 
Scalable Event Analytics with MongoDB & Ruby on Rails
Scalable Event Analytics with MongoDB & Ruby on RailsScalable Event Analytics with MongoDB & Ruby on Rails
Scalable Event Analytics with MongoDB & Ruby on Rails
Jared Rosoff
 
B3 - Business intelligence apps on aws
B3 - Business intelligence apps on awsB3 - Business intelligence apps on aws
B3 - Business intelligence apps on aws
Amazon Web Services
 
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
Amazon Web Services
 
The Cloud as a Platform - Cloud Connections 2011 Keynote - Jinesh Varia
The Cloud as a Platform - Cloud Connections 2011 Keynote - Jinesh VariaThe Cloud as a Platform - Cloud Connections 2011 Keynote - Jinesh Varia
The Cloud as a Platform - Cloud Connections 2011 Keynote - Jinesh Varia
Amazon Web Services
 
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Amazon Web Services
 
(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...
(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...
(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...
Amazon Web Services
 
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Amazon Web Services
 
CliqueSquare processing
CliqueSquare processingCliqueSquare processing
CliqueSquare processing
INRIA-OAK
 
Docker bdxio
Docker bdxioDocker bdxio
Docker bdxio
Nicolas De Loof
 
Lambda Jam 2015: Event Processing in Clojure
Lambda Jam 2015: Event Processing in ClojureLambda Jam 2015: Event Processing in Clojure
Lambda Jam 2015: Event Processing in Clojure
Andy Marks
 

Similar to Datatypes for the real world (20)

Simplify Big Data with AWS
Simplify Big Data with AWSSimplify Big Data with AWS
Simplify Big Data with AWS
 
Best Practices for Hosting Web Applications on AWS
Best Practices for Hosting Web Applications on AWSBest Practices for Hosting Web Applications on AWS
Best Practices for Hosting Web Applications on AWS
 
MongoDB World 2018: Spark and Machine Learning
MongoDB World 2018: Spark and Machine LearningMongoDB World 2018: Spark and Machine Learning
MongoDB World 2018: Spark and Machine Learning
 
Building High-availability Websites on AWS
Building High-availability Websites on AWSBuilding High-availability Websites on AWS
Building High-availability Websites on AWS
 
High-Availability Websites and Web Applications with AWS
High-Availability Websites and Web Applications with AWSHigh-Availability Websites and Web Applications with AWS
High-Availability Websites and Web Applications with AWS
 
BDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSBDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWS
 
Websites on AWS
Websites on AWSWebsites on AWS
Websites on AWS
 
Connecting Your Data Analytics Pipeline
Connecting Your Data Analytics PipelineConnecting Your Data Analytics Pipeline
Connecting Your Data Analytics Pipeline
 
CTO Night & Days 2015 Winter - AWS Mobile Development
CTO Night & Days 2015 Winter - AWS Mobile DevelopmentCTO Night & Days 2015 Winter - AWS Mobile Development
CTO Night & Days 2015 Winter - AWS Mobile Development
 
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
 
Scalable Event Analytics with MongoDB & Ruby on Rails
Scalable Event Analytics with MongoDB & Ruby on RailsScalable Event Analytics with MongoDB & Ruby on Rails
Scalable Event Analytics with MongoDB & Ruby on Rails
 
B3 - Business intelligence apps on aws
B3 - Business intelligence apps on awsB3 - Business intelligence apps on aws
B3 - Business intelligence apps on aws
 
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
 
The Cloud as a Platform - Cloud Connections 2011 Keynote - Jinesh Varia
The Cloud as a Platform - Cloud Connections 2011 Keynote - Jinesh VariaThe Cloud as a Platform - Cloud Connections 2011 Keynote - Jinesh Varia
The Cloud as a Platform - Cloud Connections 2011 Keynote - Jinesh Varia
 
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
 
(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...
(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...
(BDT402) Performance Profiling in Production: Analyzing Web Requests at Scale...
 
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
 
CliqueSquare processing
CliqueSquare processingCliqueSquare processing
CliqueSquare processing
 
Docker bdxio
Docker bdxioDocker bdxio
Docker bdxio
 
Lambda Jam 2015: Event Processing in Clojure
Lambda Jam 2015: Event Processing in ClojureLambda Jam 2015: Event Processing in Clojure
Lambda Jam 2015: Event Processing in Clojure
 

More from Eric Torreborre

wire-all-the-things-lambda-days-2023.pdf
wire-all-the-things-lambda-days-2023.pdfwire-all-the-things-lambda-days-2023.pdf
wire-all-the-things-lambda-days-2023.pdf
Eric Torreborre
 
The many faces of modularity
The many faces of modularityThe many faces of modularity
The many faces of modularity
Eric Torreborre
 
What haskell taught us when we were not looking
What haskell taught us when we were not lookingWhat haskell taught us when we were not looking
What haskell taught us when we were not looking
Eric Torreborre
 
Wire once, rewire twice! (Haskell exchange-2018)
Wire once, rewire twice! (Haskell exchange-2018)Wire once, rewire twice! (Haskell exchange-2018)
Wire once, rewire twice! (Haskell exchange-2018)
Eric Torreborre
 
Pratical eff-functional-conf
Pratical eff-functional-confPratical eff-functional-conf
Pratical eff-functional-conf
Eric Torreborre
 
Specs2, from starters to dessert and... a look in the kitchen
Specs2, from starters to dessert and... a look in the kitchenSpecs2, from starters to dessert and... a look in the kitchen
Specs2, from starters to dessert and... a look in the kitchen
Eric Torreborre
 
Streaming, effects and beautiful folds: a winning trilogy
Streaming, effects and beautiful folds: a winning trilogyStreaming, effects and beautiful folds: a winning trilogy
Streaming, effects and beautiful folds: a winning trilogy
Eric Torreborre
 
Pratical eff-scalaitaly-2017
Pratical eff-scalaitaly-2017Pratical eff-scalaitaly-2017
Pratical eff-scalaitaly-2017
Eric Torreborre
 
Pratical eff monad at Scaladays Chicago
Pratical eff monad at Scaladays ChicagoPratical eff monad at Scaladays Chicago
Pratical eff monad at Scaladays Chicago
Eric Torreborre
 
Pratical eff
Pratical effPratical eff
Pratical eff
Eric Torreborre
 
The Eff monad, one monad to rule them all
The Eff monad, one monad to rule them allThe Eff monad, one monad to rule them all
The Eff monad, one monad to rule them all
Eric Torreborre
 
Easy di-slideshare
Easy di-slideshareEasy di-slideshare
Easy di-slideshare
Eric Torreborre
 
Data generation, the hard parts
Data generation, the hard partsData generation, the hard parts
Data generation, the hard parts
Eric Torreborre
 
Origami, a monadic fold library for Scala
Origami, a monadic fold library for ScalaOrigami, a monadic fold library for Scala
Origami, a monadic fold library for Scala
Eric Torreborre
 
DSLs with fold algebras
DSLs with fold algebrasDSLs with fold algebras
DSLs with fold algebras
Eric Torreborre
 
Specs2 whirlwind tour at Scaladays 2014
Specs2 whirlwind tour at Scaladays 2014Specs2 whirlwind tour at Scaladays 2014
Specs2 whirlwind tour at Scaladays 2014
Eric Torreborre
 
Epic success \/ failure, refactoring to *real* FP
Epic success \/ failure, refactoring to *real* FPEpic success \/ failure, refactoring to *real* FP
Epic success \/ failure, refactoring to *real* FP
Eric Torreborre
 
Vampire methods
Vampire methodsVampire methods
Vampire methods
Eric Torreborre
 
Specs2 whirlwind-tour
Specs2 whirlwind-tourSpecs2 whirlwind-tour
Specs2 whirlwind-tour
Eric Torreborre
 

More from Eric Torreborre (20)

wire-all-the-things-lambda-days-2023.pdf
wire-all-the-things-lambda-days-2023.pdfwire-all-the-things-lambda-days-2023.pdf
wire-all-the-things-lambda-days-2023.pdf
 
The many faces of modularity
The many faces of modularityThe many faces of modularity
The many faces of modularity
 
What haskell taught us when we were not looking
What haskell taught us when we were not lookingWhat haskell taught us when we were not looking
What haskell taught us when we were not looking
 
Wire once, rewire twice! (Haskell exchange-2018)
Wire once, rewire twice! (Haskell exchange-2018)Wire once, rewire twice! (Haskell exchange-2018)
Wire once, rewire twice! (Haskell exchange-2018)
 
Pratical eff-functional-conf
Pratical eff-functional-confPratical eff-functional-conf
Pratical eff-functional-conf
 
Specs2, from starters to dessert and... a look in the kitchen
Specs2, from starters to dessert and... a look in the kitchenSpecs2, from starters to dessert and... a look in the kitchen
Specs2, from starters to dessert and... a look in the kitchen
 
Streaming, effects and beautiful folds: a winning trilogy
Streaming, effects and beautiful folds: a winning trilogyStreaming, effects and beautiful folds: a winning trilogy
Streaming, effects and beautiful folds: a winning trilogy
 
Pratical eff-scalaitaly-2017
Pratical eff-scalaitaly-2017Pratical eff-scalaitaly-2017
Pratical eff-scalaitaly-2017
 
Pratical eff monad at Scaladays Chicago
Pratical eff monad at Scaladays ChicagoPratical eff monad at Scaladays Chicago
Pratical eff monad at Scaladays Chicago
 
Pratical eff
Pratical effPratical eff
Pratical eff
 
The Eff monad, one monad to rule them all
The Eff monad, one monad to rule them allThe Eff monad, one monad to rule them all
The Eff monad, one monad to rule them all
 
Easy di-slideshare
Easy di-slideshareEasy di-slideshare
Easy di-slideshare
 
Data generation, the hard parts
Data generation, the hard partsData generation, the hard parts
Data generation, the hard parts
 
Origami, a monadic fold library for Scala
Origami, a monadic fold library for ScalaOrigami, a monadic fold library for Scala
Origami, a monadic fold library for Scala
 
Specs2 3.4
Specs2 3.4Specs2 3.4
Specs2 3.4
 
DSLs with fold algebras
DSLs with fold algebrasDSLs with fold algebras
DSLs with fold algebras
 
Specs2 whirlwind tour at Scaladays 2014
Specs2 whirlwind tour at Scaladays 2014Specs2 whirlwind tour at Scaladays 2014
Specs2 whirlwind tour at Scaladays 2014
 
Epic success \/ failure, refactoring to *real* FP
Epic success \/ failure, refactoring to *real* FPEpic success \/ failure, refactoring to *real* FP
Epic success \/ failure, refactoring to *real* FP
 
Vampire methods
Vampire methodsVampire methods
Vampire methods
 
Specs2 whirlwind-tour
Specs2 whirlwind-tourSpecs2 whirlwind-tour
Specs2 whirlwind-tour
 

Recently uploaded

By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
Pierluigi Pugliese
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
Peter Spielvogel
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
Ralf Eggert
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptxSecstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
nkrafacyberclub
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 

Recently uploaded (20)

By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptxSecstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production