SlideShare una empresa de Scribd logo
1 de 7
Descargar para leer sin conexión
Ryan Tabora
Senior Data Engineer
February 2014

The New Tech Stack for Devices and Their Apps
What is Device Data?

Customers

Home Base

ETL

System
of
Record

Data Access

Parser

Parser

Parser

CONFIDENTIAL

|

!2
Reference Architecture

CONFIDENTIAL

|

!3
Ingestion Technologies

Log Aggregation

Streaming

Bulk Import/ETL

Storm

kinesis

CONFIDENTIAL

|

!4
Data Stores
Core Storage

Classic NoSQL Search Oriented

MPPs
redshift

dynamodb

CONFIDENTIAL

|

!5
Data Transformation Technologies

Batch

Faster-than-batch

Pig

CONFIDENTIAL

|

!6
Come Say Hi!!!

! ryan.tabora@thinkbiganalytics.com
! http://thinkbiganalytics.com
! @ryantabora

CONFIDENTIAL

|

!7

Más contenido relacionado

La actualidad más candente

Building Audi’s enterprise big data platform
Building Audi’s enterprise big data platformBuilding Audi’s enterprise big data platform
Building Audi’s enterprise big data platformDataWorks Summit
 
Regulatory Reporting of Asset Trading Using Apache Spark-(Sudipto Shankar Das...
Regulatory Reporting of Asset Trading Using Apache Spark-(Sudipto Shankar Das...Regulatory Reporting of Asset Trading Using Apache Spark-(Sudipto Shankar Das...
Regulatory Reporting of Asset Trading Using Apache Spark-(Sudipto Shankar Das...Spark Summit
 
Flattening the Curve with Kafka (Rishi Tarar, Northrop Grumman Corp.) Kafka S...
Flattening the Curve with Kafka (Rishi Tarar, Northrop Grumman Corp.) Kafka S...Flattening the Curve with Kafka (Rishi Tarar, Northrop Grumman Corp.) Kafka S...
Flattening the Curve with Kafka (Rishi Tarar, Northrop Grumman Corp.) Kafka S...confluent
 
Self-service Events & Decentralised Governance with AsyncAPI: A Real World Ex...
Self-service Events & Decentralised Governance with AsyncAPI: A Real World Ex...Self-service Events & Decentralised Governance with AsyncAPI: A Real World Ex...
Self-service Events & Decentralised Governance with AsyncAPI: A Real World Ex...HostedbyConfluent
 
Lessons Learned in Deploying the ELK Stack (Elasticsearch, Logstash, and Kibana)
Lessons Learned in Deploying the ELK Stack (Elasticsearch, Logstash, and Kibana)Lessons Learned in Deploying the ELK Stack (Elasticsearch, Logstash, and Kibana)
Lessons Learned in Deploying the ELK Stack (Elasticsearch, Logstash, and Kibana)Cohesive Networks
 
Flink London meetup 3 March 2016 - Flink basics
Flink London meetup 3 March 2016 - Flink basicsFlink London meetup 3 March 2016 - Flink basics
Flink London meetup 3 March 2016 - Flink basicsCyrus New
 
Data Ingestion Engine
Data Ingestion EngineData Ingestion Engine
Data Ingestion EngineAdam Doyle
 
Getting Ready to Use Redis with Apache Spark with Tague Griffith
Getting Ready to Use Redis with Apache Spark with Tague GriffithGetting Ready to Use Redis with Apache Spark with Tague Griffith
Getting Ready to Use Redis with Apache Spark with Tague GriffithDatabricks
 
Growing with elastic search
Growing with elastic searchGrowing with elastic search
Growing with elastic searchDevi A S L
 
Capgemini: Observability within the Dutch government
Capgemini: Observability within the Dutch governmentCapgemini: Observability within the Dutch government
Capgemini: Observability within the Dutch governmentElasticsearch
 
Big data at AWS Chicago User Group - 2014
Big data at AWS Chicago User Group - 2014Big data at AWS Chicago User Group - 2014
Big data at AWS Chicago User Group - 2014AWS Chicago
 
Webinar leveraging-cloud-sandboxes-with-ansible-jenkins-j frog
Webinar leveraging-cloud-sandboxes-with-ansible-jenkins-j frogWebinar leveraging-cloud-sandboxes-with-ansible-jenkins-j frog
Webinar leveraging-cloud-sandboxes-with-ansible-jenkins-j frogQualiQuali
 
Knime customer intelligence on social media odsc london
Knime customer intelligence on social media odsc london   Knime customer intelligence on social media odsc london
Knime customer intelligence on social media odsc london Jessica Willis
 
Improving Veteran benefit services through efficient data streaming | Robert ...
Improving Veteran benefit services through efficient data streaming | Robert ...Improving Veteran benefit services through efficient data streaming | Robert ...
Improving Veteran benefit services through efficient data streaming | Robert ...HostedbyConfluent
 
AWS User Group Meetup Berlin - Kay Lerch on Apache NiFi (2016-04-19)
AWS User Group Meetup Berlin - Kay Lerch on Apache NiFi (2016-04-19)AWS User Group Meetup Berlin - Kay Lerch on Apache NiFi (2016-04-19)
AWS User Group Meetup Berlin - Kay Lerch on Apache NiFi (2016-04-19)Kay Lerch
 
Chicago AWS user group meetup - May 2014 at Cohesive
Chicago AWS user group meetup - May 2014 at CohesiveChicago AWS user group meetup - May 2014 at Cohesive
Chicago AWS user group meetup - May 2014 at CohesiveCloudCamp Chicago
 
Joe Witt presentation on Apache NiFi
Joe Witt presentation on Apache NiFiJoe Witt presentation on Apache NiFi
Joe Witt presentation on Apache NiFiMark Kerzner
 
Continus sql with sql stream builder
Continus sql with sql stream builderContinus sql with sql stream builder
Continus sql with sql stream builderTimothy Spann
 
IBM and Lightbend Build Integrated Platform for Cognitive Development
IBM and Lightbend Build Integrated Platform for Cognitive DevelopmentIBM and Lightbend Build Integrated Platform for Cognitive Development
IBM and Lightbend Build Integrated Platform for Cognitive DevelopmentLightbend
 

La actualidad más candente (20)

Building Audi’s enterprise big data platform
Building Audi’s enterprise big data platformBuilding Audi’s enterprise big data platform
Building Audi’s enterprise big data platform
 
Regulatory Reporting of Asset Trading Using Apache Spark-(Sudipto Shankar Das...
Regulatory Reporting of Asset Trading Using Apache Spark-(Sudipto Shankar Das...Regulatory Reporting of Asset Trading Using Apache Spark-(Sudipto Shankar Das...
Regulatory Reporting of Asset Trading Using Apache Spark-(Sudipto Shankar Das...
 
Flattening the Curve with Kafka (Rishi Tarar, Northrop Grumman Corp.) Kafka S...
Flattening the Curve with Kafka (Rishi Tarar, Northrop Grumman Corp.) Kafka S...Flattening the Curve with Kafka (Rishi Tarar, Northrop Grumman Corp.) Kafka S...
Flattening the Curve with Kafka (Rishi Tarar, Northrop Grumman Corp.) Kafka S...
 
Self-service Events & Decentralised Governance with AsyncAPI: A Real World Ex...
Self-service Events & Decentralised Governance with AsyncAPI: A Real World Ex...Self-service Events & Decentralised Governance with AsyncAPI: A Real World Ex...
Self-service Events & Decentralised Governance with AsyncAPI: A Real World Ex...
 
Lessons Learned in Deploying the ELK Stack (Elasticsearch, Logstash, and Kibana)
Lessons Learned in Deploying the ELK Stack (Elasticsearch, Logstash, and Kibana)Lessons Learned in Deploying the ELK Stack (Elasticsearch, Logstash, and Kibana)
Lessons Learned in Deploying the ELK Stack (Elasticsearch, Logstash, and Kibana)
 
Flink London meetup 3 March 2016 - Flink basics
Flink London meetup 3 March 2016 - Flink basicsFlink London meetup 3 March 2016 - Flink basics
Flink London meetup 3 March 2016 - Flink basics
 
Data Ingestion Engine
Data Ingestion EngineData Ingestion Engine
Data Ingestion Engine
 
Getting Ready to Use Redis with Apache Spark with Tague Griffith
Getting Ready to Use Redis with Apache Spark with Tague GriffithGetting Ready to Use Redis with Apache Spark with Tague Griffith
Getting Ready to Use Redis with Apache Spark with Tague Griffith
 
Apache flink
Apache flinkApache flink
Apache flink
 
Growing with elastic search
Growing with elastic searchGrowing with elastic search
Growing with elastic search
 
Capgemini: Observability within the Dutch government
Capgemini: Observability within the Dutch governmentCapgemini: Observability within the Dutch government
Capgemini: Observability within the Dutch government
 
Big data at AWS Chicago User Group - 2014
Big data at AWS Chicago User Group - 2014Big data at AWS Chicago User Group - 2014
Big data at AWS Chicago User Group - 2014
 
Webinar leveraging-cloud-sandboxes-with-ansible-jenkins-j frog
Webinar leveraging-cloud-sandboxes-with-ansible-jenkins-j frogWebinar leveraging-cloud-sandboxes-with-ansible-jenkins-j frog
Webinar leveraging-cloud-sandboxes-with-ansible-jenkins-j frog
 
Knime customer intelligence on social media odsc london
Knime customer intelligence on social media odsc london   Knime customer intelligence on social media odsc london
Knime customer intelligence on social media odsc london
 
Improving Veteran benefit services through efficient data streaming | Robert ...
Improving Veteran benefit services through efficient data streaming | Robert ...Improving Veteran benefit services through efficient data streaming | Robert ...
Improving Veteran benefit services through efficient data streaming | Robert ...
 
AWS User Group Meetup Berlin - Kay Lerch on Apache NiFi (2016-04-19)
AWS User Group Meetup Berlin - Kay Lerch on Apache NiFi (2016-04-19)AWS User Group Meetup Berlin - Kay Lerch on Apache NiFi (2016-04-19)
AWS User Group Meetup Berlin - Kay Lerch on Apache NiFi (2016-04-19)
 
Chicago AWS user group meetup - May 2014 at Cohesive
Chicago AWS user group meetup - May 2014 at CohesiveChicago AWS user group meetup - May 2014 at Cohesive
Chicago AWS user group meetup - May 2014 at Cohesive
 
Joe Witt presentation on Apache NiFi
Joe Witt presentation on Apache NiFiJoe Witt presentation on Apache NiFi
Joe Witt presentation on Apache NiFi
 
Continus sql with sql stream builder
Continus sql with sql stream builderContinus sql with sql stream builder
Continus sql with sql stream builder
 
IBM and Lightbend Build Integrated Platform for Cognitive Development
IBM and Lightbend Build Integrated Platform for Cognitive DevelopmentIBM and Lightbend Build Integrated Platform for Cognitive Development
IBM and Lightbend Build Integrated Platform for Cognitive Development
 

Destacado

Cluj Big Data Meetup - Big Data in Practice
Cluj Big Data Meetup - Big Data in PracticeCluj Big Data Meetup - Big Data in Practice
Cluj Big Data Meetup - Big Data in PracticeSteffen Wenz
 
High Availability for HBase Tables - Past, Present, and Future
High Availability for HBase Tables - Past, Present, and FutureHigh Availability for HBase Tables - Past, Present, and Future
High Availability for HBase Tables - Past, Present, and FutureDataWorks Summit
 
Transactions Over Apache HBase
Transactions Over Apache HBaseTransactions Over Apache HBase
Transactions Over Apache HBasealexbaranau
 
Apache HBase - Introduction & Use Cases
Apache HBase - Introduction & Use CasesApache HBase - Introduction & Use Cases
Apache HBase - Introduction & Use CasesData Con LA
 
Hadoop and HBase on Amazon Web Services
Hadoop and HBase on Amazon Web Services Hadoop and HBase on Amazon Web Services
Hadoop and HBase on Amazon Web Services Amazon Web Services
 
Apache Kafka, and the Rise of Stream Processing
Apache Kafka, and the Rise of Stream ProcessingApache Kafka, and the Rise of Stream Processing
Apache Kafka, and the Rise of Stream ProcessingGuozhang Wang
 
Building Realtim Data Pipelines with Kafka Connect and Spark Streaming
Building Realtim Data Pipelines with Kafka Connect and Spark StreamingBuilding Realtim Data Pipelines with Kafka Connect and Spark Streaming
Building Realtim Data Pipelines with Kafka Connect and Spark StreamingGuozhang Wang
 
Hortonworks Technical Workshop: HBase For Mission Critical Applications
Hortonworks Technical Workshop: HBase For Mission Critical ApplicationsHortonworks Technical Workshop: HBase For Mission Critical Applications
Hortonworks Technical Workshop: HBase For Mission Critical ApplicationsHortonworks
 
Scaling HDFS to Manage Billions of Files with Key-Value Stores
Scaling HDFS to Manage Billions of Files with Key-Value StoresScaling HDFS to Manage Billions of Files with Key-Value Stores
Scaling HDFS to Manage Billions of Files with Key-Value StoresDataWorks Summit
 
HBase Operations and Best Practices
HBase Operations and Best PracticesHBase Operations and Best Practices
HBase Operations and Best PracticesVenu Anuganti
 
Bigger, Faster, Easier: Building a Real-Time Self Service Data Analytics Ecos...
Bigger, Faster, Easier: Building a Real-Time Self Service Data Analytics Ecos...Bigger, Faster, Easier: Building a Real-Time Self Service Data Analytics Ecos...
Bigger, Faster, Easier: Building a Real-Time Self Service Data Analytics Ecos...DataWorks Summit
 
Building apps with HBase - Data Days Texas March 2013
Building apps with HBase - Data Days Texas March 2013Building apps with HBase - Data Days Texas March 2013
Building apps with HBase - Data Days Texas March 2013amansk
 
Being Ready for Apache Kafka - Apache: Big Data Europe 2015
Being Ready for Apache Kafka - Apache: Big Data Europe 2015Being Ready for Apache Kafka - Apache: Big Data Europe 2015
Being Ready for Apache Kafka - Apache: Big Data Europe 2015Michael Noll
 
Building a Replicated Logging System with Apache Kafka
Building a Replicated Logging System with Apache KafkaBuilding a Replicated Logging System with Apache Kafka
Building a Replicated Logging System with Apache KafkaGuozhang Wang
 
Building Stream Infrastructure across Multiple Data Centers with Apache Kafka
Building Stream Infrastructure across Multiple Data Centers with Apache KafkaBuilding Stream Infrastructure across Multiple Data Centers with Apache Kafka
Building Stream Infrastructure across Multiple Data Centers with Apache KafkaGuozhang Wang
 
Intro to HDFS and MapReduce
Intro to HDFS and MapReduceIntro to HDFS and MapReduce
Intro to HDFS and MapReduceRyan Tabora
 
Sqoop on Spark for Data Ingestion
Sqoop on Spark for Data IngestionSqoop on Spark for Data Ingestion
Sqoop on Spark for Data IngestionDataWorks Summit
 

Destacado (20)

Cluj Big Data Meetup - Big Data in Practice
Cluj Big Data Meetup - Big Data in PracticeCluj Big Data Meetup - Big Data in Practice
Cluj Big Data Meetup - Big Data in Practice
 
Interacting with hdfs
Interacting with hdfsInteracting with hdfs
Interacting with hdfs
 
High Availability for HBase Tables - Past, Present, and Future
High Availability for HBase Tables - Past, Present, and FutureHigh Availability for HBase Tables - Past, Present, and Future
High Availability for HBase Tables - Past, Present, and Future
 
Transactions Over Apache HBase
Transactions Over Apache HBaseTransactions Over Apache HBase
Transactions Over Apache HBase
 
Apache HBase - Introduction & Use Cases
Apache HBase - Introduction & Use CasesApache HBase - Introduction & Use Cases
Apache HBase - Introduction & Use Cases
 
Hadoop and HBase on Amazon Web Services
Hadoop and HBase on Amazon Web Services Hadoop and HBase on Amazon Web Services
Hadoop and HBase on Amazon Web Services
 
Apache Kafka, and the Rise of Stream Processing
Apache Kafka, and the Rise of Stream ProcessingApache Kafka, and the Rise of Stream Processing
Apache Kafka, and the Rise of Stream Processing
 
Building Realtim Data Pipelines with Kafka Connect and Spark Streaming
Building Realtim Data Pipelines with Kafka Connect and Spark StreamingBuilding Realtim Data Pipelines with Kafka Connect and Spark Streaming
Building Realtim Data Pipelines with Kafka Connect and Spark Streaming
 
Something about Kafka - Why Kafka is so fast
Something about Kafka - Why Kafka is so fastSomething about Kafka - Why Kafka is so fast
Something about Kafka - Why Kafka is so fast
 
Hortonworks Technical Workshop: HBase For Mission Critical Applications
Hortonworks Technical Workshop: HBase For Mission Critical ApplicationsHortonworks Technical Workshop: HBase For Mission Critical Applications
Hortonworks Technical Workshop: HBase For Mission Critical Applications
 
Scaling HDFS to Manage Billions of Files with Key-Value Stores
Scaling HDFS to Manage Billions of Files with Key-Value StoresScaling HDFS to Manage Billions of Files with Key-Value Stores
Scaling HDFS to Manage Billions of Files with Key-Value Stores
 
HBase Operations and Best Practices
HBase Operations and Best PracticesHBase Operations and Best Practices
HBase Operations and Best Practices
 
Bigger, Faster, Easier: Building a Real-Time Self Service Data Analytics Ecos...
Bigger, Faster, Easier: Building a Real-Time Self Service Data Analytics Ecos...Bigger, Faster, Easier: Building a Real-Time Self Service Data Analytics Ecos...
Bigger, Faster, Easier: Building a Real-Time Self Service Data Analytics Ecos...
 
Building apps with HBase - Data Days Texas March 2013
Building apps with HBase - Data Days Texas March 2013Building apps with HBase - Data Days Texas March 2013
Building apps with HBase - Data Days Texas March 2013
 
Being Ready for Apache Kafka - Apache: Big Data Europe 2015
Being Ready for Apache Kafka - Apache: Big Data Europe 2015Being Ready for Apache Kafka - Apache: Big Data Europe 2015
Being Ready for Apache Kafka - Apache: Big Data Europe 2015
 
Building a Replicated Logging System with Apache Kafka
Building a Replicated Logging System with Apache KafkaBuilding a Replicated Logging System with Apache Kafka
Building a Replicated Logging System with Apache Kafka
 
Setting up Hadoop YARN Clustering
Setting up Hadoop YARN ClusteringSetting up Hadoop YARN Clustering
Setting up Hadoop YARN Clustering
 
Building Stream Infrastructure across Multiple Data Centers with Apache Kafka
Building Stream Infrastructure across Multiple Data Centers with Apache KafkaBuilding Stream Infrastructure across Multiple Data Centers with Apache Kafka
Building Stream Infrastructure across Multiple Data Centers with Apache Kafka
 
Intro to HDFS and MapReduce
Intro to HDFS and MapReduceIntro to HDFS and MapReduce
Intro to HDFS and MapReduce
 
Sqoop on Spark for Data Ingestion
Sqoop on Spark for Data IngestionSqoop on Spark for Data Ingestion
Sqoop on Spark for Data Ingestion
 

Último

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
"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 ...Zilliz
 
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, Adobeapidays
 
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
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici 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 FMESafe Software
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 

Último (20)

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
"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 ...
 
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 - 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...
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
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
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 

The New Tech Stack for Device Data