SlideShare ist ein Scribd-Unternehmen logo
1 von 49
Downloaden Sie, um offline zu lesen
Druid + Superset
( )
@
2018 – Q2
• 5 /
• 3 MES/SFC
• 3 ERP (SAP-MM )/EAI Leader
• 2 End-To-End Business Integration Analyst
• 1 OEM Sales Team Leader
• 4 /
• 5 /
• IT (witlab) –
• 226 Finisher
Source:http://www.dreamwerkztechnologies.com/dwz-inventory-management/ Source: https://logicyyc.com/2017/04/27/industry-4-0/
Data Collection
and Storage
Data
Processing
Event
Processing
Data
Analysis
(Latency)
(Throughput)
(Cost)
10
25
18
!
10
25
18
10
25
18
!
“Lamda “
Lamda Batch Layer
)
•
•
•
(
•
•
• /
•
• )
• ,
•
•
•
• )
• /
•
•
•
•
•
•
•
•
•
Lamda Speed Layer
Streaming)
–
Kafka Indexing
Service
O
• r L -
T
• P
u - D
• T A /
B
• Br d Br
• B i /
• Critical for interactive user experience
• Avg query times ~500ms
• 90% percentile under 1 sec
• 99% percentile under 10 sec
• Handle 1000’s of concurrent queries
R S - -
• - - a rs
• i / e - c
• tP rs l s
• b - / / / / p &A L
• D / -u
• p /,bd L h /, / - ,/ - o
hnz
Shipment
Shipment Raw
(Dimensions) (Measures)(Event time)
– Kafka Databus
Kafka Indexing
Service
1
Shipment
• , : S
• J ( (
• J ) -23 415
• 8 81 680
– Shipment ingestion
Kafka Druid
Kafka Indexing
Service
2
2
2
Druid kafka index service ingestion
Kafka Druid
(Event time) Hour” (Sum / Count / Max /
Min)
Druid - (Pre-Aggregation)
Druid (Pre-Aggregation)
• SQL
• select sum("raw_count"),count(*) from shipment
• No Pre-agg : 34,214,400 , 34,214,400 => 433.22 MB
• Pre-agg by minute : 34,214,400 , 23,126,204 => 243.97 MB
• Pre-agg by hour : 34,214,400 , 383,088 => 8.03 MB
• Pre-agg by day : 34,214,400 , 33,384 => 0.65 MB
– Shipment ingestion
Kafka Druid
Kafka Indexing
Service
3
c
•
• t 9
• A i
~
• r k
• ~~ e
• 9s M ) / ( 3 , s ) / 3
• 9s7 7 G ) / ( 3 ,
• G 9 ms: 0
• 9 9 ) / 3p
• G r an
• ar a
&
• )
(
) (
) (
) (
) (
) (
) (
) (
?
Source: https://devilsadvocatepaper.com/2016/04/06/the-end/

Weitere ähnliche Inhalte

Was ist angesagt?

Graphite, an introduction
Graphite, an introductionGraphite, an introduction
Graphite, an introductionjamesrwu
 
ClickHouse Paris Meetup. Pragma Analytics Software Suite w/ClickHouse, by Mat...
ClickHouse Paris Meetup. Pragma Analytics Software Suite w/ClickHouse, by Mat...ClickHouse Paris Meetup. Pragma Analytics Software Suite w/ClickHouse, by Mat...
ClickHouse Paris Meetup. Pragma Analytics Software Suite w/ClickHouse, by Mat...Altinity Ltd
 
Presto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 BostonPresto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 Bostonkbajda
 
ClickHouse Paris Meetup. ClickHouse Analytical DBMS, Introduction. By Alexand...
ClickHouse Paris Meetup. ClickHouse Analytical DBMS, Introduction. By Alexand...ClickHouse Paris Meetup. ClickHouse Analytical DBMS, Introduction. By Alexand...
ClickHouse Paris Meetup. ClickHouse Analytical DBMS, Introduction. By Alexand...Altinity Ltd
 
A Brief Introduction of TiDB (Percona Live)
A Brief Introduction of TiDB (Percona Live)A Brief Introduction of TiDB (Percona Live)
A Brief Introduction of TiDB (Percona Live)PingCAP
 
Flink Forward Berlin 2017: Dr. Radu Tudoran - Huawei Cloud Stream Service in ...
Flink Forward Berlin 2017: Dr. Radu Tudoran - Huawei Cloud Stream Service in ...Flink Forward Berlin 2017: Dr. Radu Tudoran - Huawei Cloud Stream Service in ...
Flink Forward Berlin 2017: Dr. Radu Tudoran - Huawei Cloud Stream Service in ...Flink Forward
 
InfluxDB and Grafana: An Introduction to Time-Based Data Storage and Visualiz...
InfluxDB and Grafana: An Introduction to Time-Based Data Storage and Visualiz...InfluxDB and Grafana: An Introduction to Time-Based Data Storage and Visualiz...
InfluxDB and Grafana: An Introduction to Time-Based Data Storage and Visualiz...Caner Ünal
 
Rust in TiKV
Rust in TiKVRust in TiKV
Rust in TiKVPingCAP
 
MongoDB - Warehouse and Aggregator of Events
MongoDB - Warehouse and Aggregator of EventsMongoDB - Warehouse and Aggregator of Events
MongoDB - Warehouse and Aggregator of EventsMaxim Ligus
 
Stream Processing Live Traffic Data with Kafka Streams
Stream Processing Live Traffic Data with Kafka StreamsStream Processing Live Traffic Data with Kafka Streams
Stream Processing Live Traffic Data with Kafka StreamsTim Ysewyn
 
From business requirements to working pipelines with apache airflow
From business requirements to working pipelines with apache airflowFrom business requirements to working pipelines with apache airflow
From business requirements to working pipelines with apache airflowDerrick Qin
 
Presto Summit 2018 - 10 - Qubole
Presto Summit 2018  - 10 - QubolePresto Summit 2018  - 10 - Qubole
Presto Summit 2018 - 10 - Qubolekbajda
 
Statsd introduction
Statsd introductionStatsd introduction
Statsd introductionRick Chang
 
Flink Forward Berlin 2017: Stephan Ewen - The State of Flink and how to adopt...
Flink Forward Berlin 2017: Stephan Ewen - The State of Flink and how to adopt...Flink Forward Berlin 2017: Stephan Ewen - The State of Flink and how to adopt...
Flink Forward Berlin 2017: Stephan Ewen - The State of Flink and how to adopt...Flink Forward
 
Using Spark at Vungle
Using Spark at VungleUsing Spark at Vungle
Using Spark at VungleVungle
 
Monitoring in a scalable world
Monitoring in a scalable worldMonitoring in a scalable world
Monitoring in a scalable worldTechExeter
 
Collecting metrics with Graphite and StatsD
Collecting metrics with Graphite and StatsDCollecting metrics with Graphite and StatsD
Collecting metrics with Graphite and StatsDitnig
 
Using ClickHouse for Experimentation
Using ClickHouse for ExperimentationUsing ClickHouse for Experimentation
Using ClickHouse for ExperimentationGleb Kanterov
 
How to build TiDB
How to build TiDBHow to build TiDB
How to build TiDBPingCAP
 
Presto Summit 2018 - 07 - Lyft
Presto Summit 2018 - 07 - LyftPresto Summit 2018 - 07 - Lyft
Presto Summit 2018 - 07 - Lyftkbajda
 

Was ist angesagt? (20)

Graphite, an introduction
Graphite, an introductionGraphite, an introduction
Graphite, an introduction
 
ClickHouse Paris Meetup. Pragma Analytics Software Suite w/ClickHouse, by Mat...
ClickHouse Paris Meetup. Pragma Analytics Software Suite w/ClickHouse, by Mat...ClickHouse Paris Meetup. Pragma Analytics Software Suite w/ClickHouse, by Mat...
ClickHouse Paris Meetup. Pragma Analytics Software Suite w/ClickHouse, by Mat...
 
Presto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 BostonPresto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 Boston
 
ClickHouse Paris Meetup. ClickHouse Analytical DBMS, Introduction. By Alexand...
ClickHouse Paris Meetup. ClickHouse Analytical DBMS, Introduction. By Alexand...ClickHouse Paris Meetup. ClickHouse Analytical DBMS, Introduction. By Alexand...
ClickHouse Paris Meetup. ClickHouse Analytical DBMS, Introduction. By Alexand...
 
A Brief Introduction of TiDB (Percona Live)
A Brief Introduction of TiDB (Percona Live)A Brief Introduction of TiDB (Percona Live)
A Brief Introduction of TiDB (Percona Live)
 
Flink Forward Berlin 2017: Dr. Radu Tudoran - Huawei Cloud Stream Service in ...
Flink Forward Berlin 2017: Dr. Radu Tudoran - Huawei Cloud Stream Service in ...Flink Forward Berlin 2017: Dr. Radu Tudoran - Huawei Cloud Stream Service in ...
Flink Forward Berlin 2017: Dr. Radu Tudoran - Huawei Cloud Stream Service in ...
 
InfluxDB and Grafana: An Introduction to Time-Based Data Storage and Visualiz...
InfluxDB and Grafana: An Introduction to Time-Based Data Storage and Visualiz...InfluxDB and Grafana: An Introduction to Time-Based Data Storage and Visualiz...
InfluxDB and Grafana: An Introduction to Time-Based Data Storage and Visualiz...
 
Rust in TiKV
Rust in TiKVRust in TiKV
Rust in TiKV
 
MongoDB - Warehouse and Aggregator of Events
MongoDB - Warehouse and Aggregator of EventsMongoDB - Warehouse and Aggregator of Events
MongoDB - Warehouse and Aggregator of Events
 
Stream Processing Live Traffic Data with Kafka Streams
Stream Processing Live Traffic Data with Kafka StreamsStream Processing Live Traffic Data with Kafka Streams
Stream Processing Live Traffic Data with Kafka Streams
 
From business requirements to working pipelines with apache airflow
From business requirements to working pipelines with apache airflowFrom business requirements to working pipelines with apache airflow
From business requirements to working pipelines with apache airflow
 
Presto Summit 2018 - 10 - Qubole
Presto Summit 2018  - 10 - QubolePresto Summit 2018  - 10 - Qubole
Presto Summit 2018 - 10 - Qubole
 
Statsd introduction
Statsd introductionStatsd introduction
Statsd introduction
 
Flink Forward Berlin 2017: Stephan Ewen - The State of Flink and how to adopt...
Flink Forward Berlin 2017: Stephan Ewen - The State of Flink and how to adopt...Flink Forward Berlin 2017: Stephan Ewen - The State of Flink and how to adopt...
Flink Forward Berlin 2017: Stephan Ewen - The State of Flink and how to adopt...
 
Using Spark at Vungle
Using Spark at VungleUsing Spark at Vungle
Using Spark at Vungle
 
Monitoring in a scalable world
Monitoring in a scalable worldMonitoring in a scalable world
Monitoring in a scalable world
 
Collecting metrics with Graphite and StatsD
Collecting metrics with Graphite and StatsDCollecting metrics with Graphite and StatsD
Collecting metrics with Graphite and StatsD
 
Using ClickHouse for Experimentation
Using ClickHouse for ExperimentationUsing ClickHouse for Experimentation
Using ClickHouse for Experimentation
 
How to build TiDB
How to build TiDBHow to build TiDB
How to build TiDB
 
Presto Summit 2018 - 07 - Lyft
Presto Summit 2018 - 07 - LyftPresto Summit 2018 - 07 - Lyft
Presto Summit 2018 - 07 - Lyft
 

Ähnlich wie Druid + Superset (資料的快速通道)

End to End Processing of 3.7 Million Telemetry Events per Second using Lambda...
End to End Processing of 3.7 Million Telemetry Events per Second using Lambda...End to End Processing of 3.7 Million Telemetry Events per Second using Lambda...
End to End Processing of 3.7 Million Telemetry Events per Second using Lambda...DataWorks Summit/Hadoop Summit
 
Cloud Security Monitoring and Spark Analytics
Cloud Security Monitoring and Spark AnalyticsCloud Security Monitoring and Spark Analytics
Cloud Security Monitoring and Spark Analyticsamesar0
 
AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly
AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly
AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly SolarWinds Loggly
 
Extreme Replication - Performance Tuning Oracle GoldenGate
Extreme Replication - Performance Tuning Oracle GoldenGateExtreme Replication - Performance Tuning Oracle GoldenGate
Extreme Replication - Performance Tuning Oracle GoldenGateBobby Curtis
 
Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search (ARC303...
Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search (ARC303...Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search (ARC303...
Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search (ARC303...Amazon Web Services
 
(BDT318) How Netflix Handles Up To 8 Million Events Per Second
(BDT318) How Netflix Handles Up To 8 Million Events Per Second(BDT318) How Netflix Handles Up To 8 Million Events Per Second
(BDT318) How Netflix Handles Up To 8 Million Events Per SecondAmazon Web Services
 
Data Stream Processing - Concepts and Frameworks
Data Stream Processing - Concepts and FrameworksData Stream Processing - Concepts and Frameworks
Data Stream Processing - Concepts and FrameworksMatthias Niehoff
 
Extreme Replication - RMOUG Presentation
Extreme Replication - RMOUG PresentationExtreme Replication - RMOUG Presentation
Extreme Replication - RMOUG PresentationBobby Curtis
 
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetupETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetupRafal Kwasny
 
Druid at naver.com - part 1
Druid at naver.com - part 1Druid at naver.com - part 1
Druid at naver.com - part 1Jungsu Heo
 
MongoDB for Time Series Data
MongoDB for Time Series DataMongoDB for Time Series Data
MongoDB for Time Series DataMongoDB
 
How bol.com makes sense of its logs, using the Elastic technology stack.
How bol.com makes sense of its logs, using the Elastic technology stack.How bol.com makes sense of its logs, using the Elastic technology stack.
How bol.com makes sense of its logs, using the Elastic technology stack.Renzo Tomà
 
Unleashing your Kafka Streams Application Metrics!
Unleashing your Kafka Streams Application Metrics!Unleashing your Kafka Streams Application Metrics!
Unleashing your Kafka Streams Application Metrics!HostedbyConfluent
 
WyspaIT 2016 - Azure Stream Analytics i Azure Machine Learning w analizie str...
WyspaIT 2016 - Azure Stream Analytics i Azure Machine Learning w analizie str...WyspaIT 2016 - Azure Stream Analytics i Azure Machine Learning w analizie str...
WyspaIT 2016 - Azure Stream Analytics i Azure Machine Learning w analizie str...Łukasz Grala
 
Extending Spark Streaming to Support Complex Event Processing
Extending Spark Streaming to Support Complex Event ProcessingExtending Spark Streaming to Support Complex Event Processing
Extending Spark Streaming to Support Complex Event ProcessingOh Chan Kwon
 
Real Time Insights for Advertising Tech
Real Time Insights for Advertising TechReal Time Insights for Advertising Tech
Real Time Insights for Advertising TechApache Apex
 
How to improve ELK log pipeline performance
How to improve ELK log pipeline performanceHow to improve ELK log pipeline performance
How to improve ELK log pipeline performanceSteven Shim
 

Ähnlich wie Druid + Superset (資料的快速通道) (20)

End to End Processing of 3.7 Million Telemetry Events per Second using Lambda...
End to End Processing of 3.7 Million Telemetry Events per Second using Lambda...End to End Processing of 3.7 Million Telemetry Events per Second using Lambda...
End to End Processing of 3.7 Million Telemetry Events per Second using Lambda...
 
K8s monitoring with elk
K8s monitoring with elkK8s monitoring with elk
K8s monitoring with elk
 
Cloud Security Monitoring and Spark Analytics
Cloud Security Monitoring and Spark AnalyticsCloud Security Monitoring and Spark Analytics
Cloud Security Monitoring and Spark Analytics
 
AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly
AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly
AWS re:Invent presentation: Unmeltable Infrastructure at Scale by Loggly
 
Extreme Replication - Performance Tuning Oracle GoldenGate
Extreme Replication - Performance Tuning Oracle GoldenGateExtreme Replication - Performance Tuning Oracle GoldenGate
Extreme Replication - Performance Tuning Oracle GoldenGate
 
Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search (ARC303...
Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search (ARC303...Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search (ARC303...
Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search (ARC303...
 
(BDT318) How Netflix Handles Up To 8 Million Events Per Second
(BDT318) How Netflix Handles Up To 8 Million Events Per Second(BDT318) How Netflix Handles Up To 8 Million Events Per Second
(BDT318) How Netflix Handles Up To 8 Million Events Per Second
 
Data Stream Processing - Concepts and Frameworks
Data Stream Processing - Concepts and FrameworksData Stream Processing - Concepts and Frameworks
Data Stream Processing - Concepts and Frameworks
 
Extreme Replication - RMOUG Presentation
Extreme Replication - RMOUG PresentationExtreme Replication - RMOUG Presentation
Extreme Replication - RMOUG Presentation
 
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetupETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetup
 
Internals of Presto Service
Internals of Presto ServiceInternals of Presto Service
Internals of Presto Service
 
Druid at naver.com - part 1
Druid at naver.com - part 1Druid at naver.com - part 1
Druid at naver.com - part 1
 
MongoDB for Time Series Data
MongoDB for Time Series DataMongoDB for Time Series Data
MongoDB for Time Series Data
 
How bol.com makes sense of its logs, using the Elastic technology stack.
How bol.com makes sense of its logs, using the Elastic technology stack.How bol.com makes sense of its logs, using the Elastic technology stack.
How bol.com makes sense of its logs, using the Elastic technology stack.
 
Unleashing your Kafka Streams Application Metrics!
Unleashing your Kafka Streams Application Metrics!Unleashing your Kafka Streams Application Metrics!
Unleashing your Kafka Streams Application Metrics!
 
WyspaIT 2016 - Azure Stream Analytics i Azure Machine Learning w analizie str...
WyspaIT 2016 - Azure Stream Analytics i Azure Machine Learning w analizie str...WyspaIT 2016 - Azure Stream Analytics i Azure Machine Learning w analizie str...
WyspaIT 2016 - Azure Stream Analytics i Azure Machine Learning w analizie str...
 
Spark cep
Spark cepSpark cep
Spark cep
 
Extending Spark Streaming to Support Complex Event Processing
Extending Spark Streaming to Support Complex Event ProcessingExtending Spark Streaming to Support Complex Event Processing
Extending Spark Streaming to Support Complex Event Processing
 
Real Time Insights for Advertising Tech
Real Time Insights for Advertising TechReal Time Insights for Advertising Tech
Real Time Insights for Advertising Tech
 
How to improve ELK log pipeline performance
How to improve ELK log pipeline performanceHow to improve ELK log pipeline performance
How to improve ELK log pipeline performance
 

Kürzlich hochgeladen

New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????blackmambaettijean
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 

Kürzlich hochgeladen (20)

New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 

Druid + Superset (資料的快速通道)