SlideShare a Scribd company logo
EventPipe-λArchitecture
w/NotsoBigData
Bahadir Cambel - Senior Data Engineer
@bahadircambel bahadir.io
TravelBird
There are 10^11 stars in the galaxy. That used to
be a huge number. But it's only a hundred billion.
It's less than the national deficit! We used to call
them astronomical numbers. Now we should call
them economical numbers. -RF
We only have half a billion events, yet.
What’sanEvent?
a thing that happens (takes place), especially one of
importance
- Page view
- Link Click
- Order Save
- Sales Flow
- Mobile App Launch..
- A/B Visit
- Newsletter View
- Scroll
- Ad View
- and many more...
What’saPipe?theBADBADONE
- Events flowing in through.
Once upon a time in LinkedIn
Alsoaeventpipe(UNIFIED)
logslogslogs->Kafka-Kinesis-
Jay Kreps ( Ex-LinkedIn, co-creator Apache Kafka,
Confluent.io founder)
http://bit.ly/realtime-data-logs ( MUST READ - LONG READ -
READ TWICE I’m aiming to read 3rd time)
http://bit.ly/i-love-logs-video
What’s λ
Nathan Marz(Storm,Cascalog) come up with the term.
EventPIPE-Batchpart
EVentPipe-FULLFORceλ
Howtocount?
- Counter +1
- Aggregate in batch
- What happens if you need to reprocess data ?
- Page Views, Users, Sessions
- How about Counter’s for Segments
- per page/device/domain/
- How to handle Big DATA? Is it going to perform with
- Million
Hyperloglog-HLL
- DVc ( almost accurate )
- Redis has it since 2.8.9 ( PFCOUNT - PFADD )
- 12 KBytes per key up to 2^64 elements per key ( 0.81%
standard-error)
CLOJURE
- Lazy
- Concise
- Fast
- Simple
- Perfect for Data processing, distributed computing
- the power of JVM
stats
OPensource
- https://github.com/travelbird/star-track
- https://github.com/travelbird/kinesis3
- https://github.com/travelbird/modular
A/BTests-ExperimentsExperimentsExperiments
It doesn't matter how beautiful your
theory is, it doesn't matter how
smart you are. If it doesn't agree
with experiment, it's wrong. - RF
We’reallfoolsofourown
The first principle is that you must not fool
yourself and you are the easiest person to
fool. - RF
ORDERinCHaos
Thanks
- Andrii Mishkovski (Intro to Clojure)
- Philipp Wassibauer (CTO of TravelBird)
- Egle, Brandon, Niels, Brandon, Rob (Teammates)
- Rich Hickey for Clojure
- Nathan Marz for λArchitecture
- Opensourcedevelopers-You’reamazing

More Related Content

What's hot

Presto Bangalore Meetup1 Presto Raptor@ola
Presto Bangalore Meetup1 Presto Raptor@olaPresto Bangalore Meetup1 Presto Raptor@ola
Presto Bangalore Meetup1 Presto Raptor@ola
Shubham Tagra
 
Solving Low Latency Query Over Big Data with Spark SQL-(Julien Pierre, Micros...
Solving Low Latency Query Over Big Data with Spark SQL-(Julien Pierre, Micros...Solving Low Latency Query Over Big Data with Spark SQL-(Julien Pierre, Micros...
Solving Low Latency Query Over Big Data with Spark SQL-(Julien Pierre, Micros...
Spark Summit
 
Paul Dix (Founder InfluxDB) - Organising Metrics at #DOXLON
Paul Dix (Founder InfluxDB) - Organising Metrics at #DOXLONPaul Dix (Founder InfluxDB) - Organising Metrics at #DOXLON
Paul Dix (Founder InfluxDB) - Organising Metrics at #DOXLON
Outlyer
 
IOT with PostgreSQL
IOT with PostgreSQLIOT with PostgreSQL
IOT with PostgreSQL
EDB
 
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
Hadoop User Group
 
Device Synchronization with Javascript and PouchDB
Device Synchronization with Javascript and PouchDBDevice Synchronization with Javascript and PouchDB
Device Synchronization with Javascript and PouchDB
Frank Rousseau
 
Dangerous on ClickHouse in 30 minutes, by Robert Hodges, Altinity CEO
Dangerous on ClickHouse in 30 minutes, by Robert Hodges, Altinity CEODangerous on ClickHouse in 30 minutes, by Robert Hodges, Altinity CEO
Dangerous on ClickHouse in 30 minutes, by Robert Hodges, Altinity CEO
Altinity Ltd
 
Redis: REmote DIctionary Server
Redis: REmote DIctionary ServerRedis: REmote DIctionary Server
Redis: REmote DIctionary Server
Ezra Zygmuntowicz
 
Buildingsocialanalyticstoolwithmongodb
BuildingsocialanalyticstoolwithmongodbBuildingsocialanalyticstoolwithmongodb
Buildingsocialanalyticstoolwithmongodb
MongoDB APAC
 
Elasticsearch, Logstash, Kibana. Cool search, analytics, data mining and more...
Elasticsearch, Logstash, Kibana. Cool search, analytics, data mining and more...Elasticsearch, Logstash, Kibana. Cool search, analytics, data mining and more...
Elasticsearch, Logstash, Kibana. Cool search, analytics, data mining and more...
Oleksiy Panchenko
 
If you give a mouse a clickhouse, by Alex Hofsteede, Sentry
If you give a mouse a clickhouse, by Alex Hofsteede, SentryIf you give a mouse a clickhouse, by Alex Hofsteede, Sentry
If you give a mouse a clickhouse, by Alex Hofsteede, Sentry
Altinity Ltd
 
RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...
RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...
RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...
InfluxData
 
Hdfs high availability
Hdfs high availabilityHdfs high availability
Hdfs high availability
Hadoop User Group
 
Elk stack
Elk stackElk stack
Elk stack
Jilles van Gurp
 
Cascalog internal dsl_preso
Cascalog internal dsl_presoCascalog internal dsl_preso
Cascalog internal dsl_preso
Hadoop User Group
 
Rupy2012 ArangoDB Workshop Part1
Rupy2012 ArangoDB Workshop Part1Rupy2012 ArangoDB Workshop Part1
Rupy2012 ArangoDB Workshop Part1
ArangoDB Database
 
Luigi presentation OA Summit
Luigi presentation OA SummitLuigi presentation OA Summit
Luigi presentation OA Summit
Open Analytics
 
Building a Scalable Distributed Stats Infrastructure with Storm and KairosDB
Building a Scalable Distributed Stats Infrastructure with Storm and KairosDBBuilding a Scalable Distributed Stats Infrastructure with Storm and KairosDB
Building a Scalable Distributed Stats Infrastructure with Storm and KairosDB
Cody Ray
 
From Zero to Production Hero: Log Analysis with Elasticsearch (from Velocity ...
From Zero to Production Hero: Log Analysis with Elasticsearch (from Velocity ...From Zero to Production Hero: Log Analysis with Elasticsearch (from Velocity ...
From Zero to Production Hero: Log Analysis with Elasticsearch (from Velocity ...
Sematext Group, Inc.
 
Practical Hadoop using Pig
Practical Hadoop using PigPractical Hadoop using Pig
Practical Hadoop using Pig
David Wellman
 

What's hot (20)

Presto Bangalore Meetup1 Presto Raptor@ola
Presto Bangalore Meetup1 Presto Raptor@olaPresto Bangalore Meetup1 Presto Raptor@ola
Presto Bangalore Meetup1 Presto Raptor@ola
 
Solving Low Latency Query Over Big Data with Spark SQL-(Julien Pierre, Micros...
Solving Low Latency Query Over Big Data with Spark SQL-(Julien Pierre, Micros...Solving Low Latency Query Over Big Data with Spark SQL-(Julien Pierre, Micros...
Solving Low Latency Query Over Big Data with Spark SQL-(Julien Pierre, Micros...
 
Paul Dix (Founder InfluxDB) - Organising Metrics at #DOXLON
Paul Dix (Founder InfluxDB) - Organising Metrics at #DOXLONPaul Dix (Founder InfluxDB) - Organising Metrics at #DOXLON
Paul Dix (Founder InfluxDB) - Organising Metrics at #DOXLON
 
IOT with PostgreSQL
IOT with PostgreSQLIOT with PostgreSQL
IOT with PostgreSQL
 
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
Yahoo! Hadoop User Group - May 2010 Meetup - Apache Hadoop Release Plans for ...
 
Device Synchronization with Javascript and PouchDB
Device Synchronization with Javascript and PouchDBDevice Synchronization with Javascript and PouchDB
Device Synchronization with Javascript and PouchDB
 
Dangerous on ClickHouse in 30 minutes, by Robert Hodges, Altinity CEO
Dangerous on ClickHouse in 30 minutes, by Robert Hodges, Altinity CEODangerous on ClickHouse in 30 minutes, by Robert Hodges, Altinity CEO
Dangerous on ClickHouse in 30 minutes, by Robert Hodges, Altinity CEO
 
Redis: REmote DIctionary Server
Redis: REmote DIctionary ServerRedis: REmote DIctionary Server
Redis: REmote DIctionary Server
 
Buildingsocialanalyticstoolwithmongodb
BuildingsocialanalyticstoolwithmongodbBuildingsocialanalyticstoolwithmongodb
Buildingsocialanalyticstoolwithmongodb
 
Elasticsearch, Logstash, Kibana. Cool search, analytics, data mining and more...
Elasticsearch, Logstash, Kibana. Cool search, analytics, data mining and more...Elasticsearch, Logstash, Kibana. Cool search, analytics, data mining and more...
Elasticsearch, Logstash, Kibana. Cool search, analytics, data mining and more...
 
If you give a mouse a clickhouse, by Alex Hofsteede, Sentry
If you give a mouse a clickhouse, by Alex Hofsteede, SentryIf you give a mouse a clickhouse, by Alex Hofsteede, Sentry
If you give a mouse a clickhouse, by Alex Hofsteede, Sentry
 
RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...
RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...
RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...
 
Hdfs high availability
Hdfs high availabilityHdfs high availability
Hdfs high availability
 
Elk stack
Elk stackElk stack
Elk stack
 
Cascalog internal dsl_preso
Cascalog internal dsl_presoCascalog internal dsl_preso
Cascalog internal dsl_preso
 
Rupy2012 ArangoDB Workshop Part1
Rupy2012 ArangoDB Workshop Part1Rupy2012 ArangoDB Workshop Part1
Rupy2012 ArangoDB Workshop Part1
 
Luigi presentation OA Summit
Luigi presentation OA SummitLuigi presentation OA Summit
Luigi presentation OA Summit
 
Building a Scalable Distributed Stats Infrastructure with Storm and KairosDB
Building a Scalable Distributed Stats Infrastructure with Storm and KairosDBBuilding a Scalable Distributed Stats Infrastructure with Storm and KairosDB
Building a Scalable Distributed Stats Infrastructure with Storm and KairosDB
 
From Zero to Production Hero: Log Analysis with Elasticsearch (from Velocity ...
From Zero to Production Hero: Log Analysis with Elasticsearch (from Velocity ...From Zero to Production Hero: Log Analysis with Elasticsearch (from Velocity ...
From Zero to Production Hero: Log Analysis with Elasticsearch (from Velocity ...
 
Practical Hadoop using Pig
Practical Hadoop using PigPractical Hadoop using Pig
Practical Hadoop using Pig
 

Similar to Event Pipe - Lambda Architecture

WebWorkersCamp 2010
WebWorkersCamp 2010WebWorkersCamp 2010
WebWorkersCamp 2010
Olivier Gutknecht
 
Non-Relational Databases: This hurts. I like it.
Non-Relational Databases: This hurts. I like it.Non-Relational Databases: This hurts. I like it.
Non-Relational Databases: This hurts. I like it.
Onyxfish
 
VoltDB 소개
VoltDB 소개VoltDB 소개
VoltDB 소개
Linux Foundation Korea
 
SD, a P2P bug tracking system
SD, a P2P bug tracking systemSD, a P2P bug tracking system
SD, a P2P bug tracking system
Jesse Vincent
 
GalvanizeU Seattle: Eleven Almost-Truisms About Data
GalvanizeU Seattle: Eleven Almost-Truisms About DataGalvanizeU Seattle: Eleven Almost-Truisms About Data
GalvanizeU Seattle: Eleven Almost-Truisms About Data
Paco Nathan
 
Big data and APIs for PHP developers - SXSW 2011
Big data and APIs for PHP developers - SXSW 2011Big data and APIs for PHP developers - SXSW 2011
Big data and APIs for PHP developers - SXSW 2011
Eli White
 
Addressing dm-cloud
Addressing dm-cloudAddressing dm-cloud
Addressing dm-cloud
Genoveva Vargas-Solar
 
Spring Cloud Gateway - Nate Schutta
Spring Cloud Gateway - Nate SchuttaSpring Cloud Gateway - Nate Schutta
Spring Cloud Gateway - Nate Schutta
VMware Tanzu
 
Teaching Elephants to Dance (Federal Audience): A Developer's Journey to Digi...
Teaching Elephants to Dance (Federal Audience): A Developer's Journey to Digi...Teaching Elephants to Dance (Federal Audience): A Developer's Journey to Digi...
Teaching Elephants to Dance (Federal Audience): A Developer's Journey to Digi...
Burr Sutter
 
Dataiku - hadoop ecosystem - @Epitech Paris - janvier 2014
Dataiku  - hadoop ecosystem - @Epitech Paris - janvier 2014Dataiku  - hadoop ecosystem - @Epitech Paris - janvier 2014
Dataiku - hadoop ecosystem - @Epitech Paris - janvier 2014
Dataiku
 
UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015
Christopher Curtin
 
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
Codemotion
 
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
Codemotion
 
Tech
TechTech
ERS downscale2016
ERS downscale2016ERS downscale2016
ERS downscale2016
Victor de Boer
 
Improve your Tech Quotient
Improve your Tech QuotientImprove your Tech Quotient
Improve your Tech Quotient
Tarence DSouza
 
Yahoo compares Storm and Spark
Yahoo compares Storm and SparkYahoo compares Storm and Spark
Yahoo compares Storm and Spark
Chicago Hadoop Users Group
 
Hadoop and the Relational Database: The Best of Both Worlds
Hadoop and the Relational Database: The Best of Both WorldsHadoop and the Relational Database: The Best of Both Worlds
Hadoop and the Relational Database: The Best of Both Worlds
Inside Analysis
 
Spark meets Spring
Spark meets SpringSpark meets Spring
Spark meets Spring
mark_fisher
 
Scalability
ScalabilityScalability
Scalability
Petter Graff
 

Similar to Event Pipe - Lambda Architecture (20)

WebWorkersCamp 2010
WebWorkersCamp 2010WebWorkersCamp 2010
WebWorkersCamp 2010
 
Non-Relational Databases: This hurts. I like it.
Non-Relational Databases: This hurts. I like it.Non-Relational Databases: This hurts. I like it.
Non-Relational Databases: This hurts. I like it.
 
VoltDB 소개
VoltDB 소개VoltDB 소개
VoltDB 소개
 
SD, a P2P bug tracking system
SD, a P2P bug tracking systemSD, a P2P bug tracking system
SD, a P2P bug tracking system
 
GalvanizeU Seattle: Eleven Almost-Truisms About Data
GalvanizeU Seattle: Eleven Almost-Truisms About DataGalvanizeU Seattle: Eleven Almost-Truisms About Data
GalvanizeU Seattle: Eleven Almost-Truisms About Data
 
Big data and APIs for PHP developers - SXSW 2011
Big data and APIs for PHP developers - SXSW 2011Big data and APIs for PHP developers - SXSW 2011
Big data and APIs for PHP developers - SXSW 2011
 
Addressing dm-cloud
Addressing dm-cloudAddressing dm-cloud
Addressing dm-cloud
 
Spring Cloud Gateway - Nate Schutta
Spring Cloud Gateway - Nate SchuttaSpring Cloud Gateway - Nate Schutta
Spring Cloud Gateway - Nate Schutta
 
Teaching Elephants to Dance (Federal Audience): A Developer's Journey to Digi...
Teaching Elephants to Dance (Federal Audience): A Developer's Journey to Digi...Teaching Elephants to Dance (Federal Audience): A Developer's Journey to Digi...
Teaching Elephants to Dance (Federal Audience): A Developer's Journey to Digi...
 
Dataiku - hadoop ecosystem - @Epitech Paris - janvier 2014
Dataiku  - hadoop ecosystem - @Epitech Paris - janvier 2014Dataiku  - hadoop ecosystem - @Epitech Paris - janvier 2014
Dataiku - hadoop ecosystem - @Epitech Paris - janvier 2014
 
UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015
 
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
 
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
Cristiano Rastelli - Atomic Design, Design Systems and React. Cool, but... - ...
 
Tech
TechTech
Tech
 
ERS downscale2016
ERS downscale2016ERS downscale2016
ERS downscale2016
 
Improve your Tech Quotient
Improve your Tech QuotientImprove your Tech Quotient
Improve your Tech Quotient
 
Yahoo compares Storm and Spark
Yahoo compares Storm and SparkYahoo compares Storm and Spark
Yahoo compares Storm and Spark
 
Hadoop and the Relational Database: The Best of Both Worlds
Hadoop and the Relational Database: The Best of Both WorldsHadoop and the Relational Database: The Best of Both Worlds
Hadoop and the Relational Database: The Best of Both Worlds
 
Spark meets Spring
Spark meets SpringSpark meets Spring
Spark meets Spring
 
Scalability
ScalabilityScalability
Scalability
 

Recently uploaded

Must Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during MigrationMust Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during Migration
Mydbops
 
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdfLee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
leebarnesutopia
 
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
Jason Yip
 
A Deep Dive into ScyllaDB's Architecture
A Deep Dive into ScyllaDB's ArchitectureA Deep Dive into ScyllaDB's Architecture
A Deep Dive into ScyllaDB's Architecture
ScyllaDB
 
"What does it really mean for your system to be available, or how to define w...
"What does it really mean for your system to be available, or how to define w..."What does it really mean for your system to be available, or how to define w...
"What does it really mean for your system to be available, or how to define w...
Fwdays
 
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeckPoznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
FilipTomaszewski5
 
AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxAI in the Workplace Reskilling, Upskilling, and Future Work.pptx
AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
Sunil Jagani
 
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
GlobalLogic Ukraine
 
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation ParametersEssentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
Safe Software
 
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through StorytellingDemystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
Enterprise Knowledge
 
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
DanBrown980551
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Neo4j
 
Mutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented ChatbotsMutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented Chatbots
Pablo Gómez Abajo
 
What is an RPA CoE? Session 1 – CoE Vision
What is an RPA CoE?  Session 1 – CoE VisionWhat is an RPA CoE?  Session 1 – CoE Vision
What is an RPA CoE? Session 1 – CoE Vision
DianaGray10
 
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
zjhamm304
 
What is an RPA CoE? Session 2 – CoE Roles
What is an RPA CoE?  Session 2 – CoE RolesWhat is an RPA CoE?  Session 2 – CoE Roles
What is an RPA CoE? Session 2 – CoE Roles
DianaGray10
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Miro Wengner
 
From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMsFrom Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
Sease
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Neo4j
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
Neo4j
 

Recently uploaded (20)

Must Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during MigrationMust Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during Migration
 
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdfLee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
 
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
 
A Deep Dive into ScyllaDB's Architecture
A Deep Dive into ScyllaDB's ArchitectureA Deep Dive into ScyllaDB's Architecture
A Deep Dive into ScyllaDB's Architecture
 
"What does it really mean for your system to be available, or how to define w...
"What does it really mean for your system to be available, or how to define w..."What does it really mean for your system to be available, or how to define w...
"What does it really mean for your system to be available, or how to define w...
 
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeckPoznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
 
AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxAI in the Workplace Reskilling, Upskilling, and Future Work.pptx
AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
 
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
 
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation ParametersEssentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
 
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through StorytellingDemystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
 
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
 
Mutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented ChatbotsMutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented Chatbots
 
What is an RPA CoE? Session 1 – CoE Vision
What is an RPA CoE?  Session 1 – CoE VisionWhat is an RPA CoE?  Session 1 – CoE Vision
What is an RPA CoE? Session 1 – CoE Vision
 
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
 
What is an RPA CoE? Session 2 – CoE Roles
What is an RPA CoE?  Session 2 – CoE RolesWhat is an RPA CoE?  Session 2 – CoE Roles
What is an RPA CoE? Session 2 – CoE Roles
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
 
From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMsFrom Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
 

Event Pipe - Lambda Architecture