SlideShare une entreprise Scribd logo
1  sur  10
Télécharger pour lire hors ligne
BI Platform as a Service

                     A case for Java in the Cloud – Part I

CZJUG, Prague, March 28 2011

Jaroslav Gergic
jaroslav.gergic@gooddata.com                                 @gooddata
• founded by Roman Stanek (NetBeans, Systinet) in 2007
• running on Amazon AWS cloud
• public beta in July 2008, commercial launch in 2009
                                                         2
Business Intelligence and Analytics
                                       live customizable
                                       dashboards




ad-hoc analytics




                                                           3
Speaking of Platform as a Service...

                                       developer portal




    all tooling on GitHub



                                                          4
Developer Friendly

                     live REST API inspector
                     (“gray pages”)




                                               5
GoodData Cloud BI Platform – Core Concepts
• Project = data mart
    – a unit of management and distribution
    – deployment: as easy as “New File”
• User Information
    –   security boundary – a “walled garden”
• Project Data
    – raw data: numbers and classifcations
• Project Metadata
    – metrics, flters, reports, dashboards
    – LDM, PDM, operational state
    – event trace, audit log
• Cached Data
    – pre-aggregated data
    – materialized slices and dices

                                                6
GoodData Cloud BI Platform – Multi Tenant

• Multi-Tenant Platform
    – born on Amazon Web services
    – stateless web application layer
    – session-less processing layer
    – redundant storage
• Horizontal Scaling
    – a pre-confgured node type for each role
    – shared-nothing architecture between
      nodes of the same type
    – nodes of each type can be provisioned
      on demand independently of others
• Horizontal Partitioning
    – frst-level driven by project separation
    – with columnar storage second-level
      partitioning not needed ~100M rows

                                                7
8
Operating Cloud BI Platform = Continuous Innovation
                                              www.gooddata.com/trust
Statistics as of March 2011:
• 13,800+ platform users
    – over 2000 users active on daily basis
• 3,280+ data marts
    – a.k.a. “projects”
• 35K+ reports run per business day
    – report calculations, incl. dashboards


While continuously innovating:
• production release ~ 2 weeks
    –   5 releases so far in 2011
• without adverse impacts on uptime

                                                                       9
Thank You




            http://www.gooddata.com/
            https://secure.gooddata.com/
            http://developer.gooddata.com/
            http://support.gooddata.com/


                                             10

Contenu connexe

Tendances

II-SDV 2012 Open Source Platform & Cloud Platform for Information Analysis
II-SDV 2012 Open Source Platform & Cloud Platform for Information AnalysisII-SDV 2012 Open Source Platform & Cloud Platform for Information Analysis
II-SDV 2012 Open Source Platform & Cloud Platform for Information AnalysisDr. Haxel Consult
 
HP Discover: Real Time Insights from Big Data
HP Discover: Real Time Insights from Big DataHP Discover: Real Time Insights from Big Data
HP Discover: Real Time Insights from Big DataRob Winters
 
Visualise Your Cloud Data Strategy: MongoDB Atlas and Charts (Sponsored by Mo...
Visualise Your Cloud Data Strategy: MongoDB Atlas and Charts (Sponsored by Mo...Visualise Your Cloud Data Strategy: MongoDB Atlas and Charts (Sponsored by Mo...
Visualise Your Cloud Data Strategy: MongoDB Atlas and Charts (Sponsored by Mo...Amazon Web Services
 
247 overviewmongodbevening-bangalore
247 overviewmongodbevening-bangalore247 overviewmongodbevening-bangalore
247 overviewmongodbevening-bangaloreMongoDB APAC
 
Vitalii Bondarenko "Machine Learning on Fast Data"
Vitalii Bondarenko "Machine Learning on Fast Data"Vitalii Bondarenko "Machine Learning on Fast Data"
Vitalii Bondarenko "Machine Learning on Fast Data"DataConf
 
TSS - Beyond Data Grid
TSS - Beyond Data GridTSS - Beyond Data Grid
TSS - Beyond Data Gridkimchy
 
Best analytics tool
 Best analytics tool Best analytics tool
Best analytics toolRitu Sarkar
 
[WSO2Con EU 2018] Architecting for a Container Native Environment
[WSO2Con EU 2018] Architecting for a Container Native Environment[WSO2Con EU 2018] Architecting for a Container Native Environment
[WSO2Con EU 2018] Architecting for a Container Native EnvironmentWSO2
 
Architecture Blue Print
Architecture Blue PrintArchitecture Blue Print
Architecture Blue PrintBogdan Nedelcu
 
Tableau Data Sheet | Whitepaper
Tableau Data Sheet | WhitepaperTableau Data Sheet | Whitepaper
Tableau Data Sheet | WhitepaperVasu S
 
PyData NYC 2015 Presentation
PyData NYC 2015 PresentationPyData NYC 2015 Presentation
PyData NYC 2015 Presentationviz4biz
 
WSO2Con ASIA 2016: API Driven Innovation Within the Enterprise
WSO2Con ASIA 2016: API Driven Innovation Within the EnterpriseWSO2Con ASIA 2016: API Driven Innovation Within the Enterprise
WSO2Con ASIA 2016: API Driven Innovation Within the EnterpriseWSO2
 
Cloudant on Linux on z - Excellent information
Cloudant on Linux on z - Excellent informationCloudant on Linux on z - Excellent information
Cloudant on Linux on z - Excellent informationLuigi Tommaseo
 
3D Solution Templates - Making the World 3D
3D Solution Templates - Making the World 3D3D Solution Templates - Making the World 3D
3D Solution Templates - Making the World 3DSafe Software
 
KDOT Aviation Portal Update: Cesium, FME
KDOT Aviation Portal Update: Cesium, FMEKDOT Aviation Portal Update: Cesium, FME
KDOT Aviation Portal Update: Cesium, FMESafe Software
 
Rethinking Quicksign's Digital Onboarding - Confluent Streaming Days Paris
Rethinking Quicksign's Digital Onboarding - Confluent Streaming Days ParisRethinking Quicksign's Digital Onboarding - Confluent Streaming Days Paris
Rethinking Quicksign's Digital Onboarding - Confluent Streaming Days ParisCedric Vidal
 

Tendances (20)

Knime
KnimeKnime
Knime
 
II-SDV 2012 Open Source Platform & Cloud Platform for Information Analysis
II-SDV 2012 Open Source Platform & Cloud Platform for Information AnalysisII-SDV 2012 Open Source Platform & Cloud Platform for Information Analysis
II-SDV 2012 Open Source Platform & Cloud Platform for Information Analysis
 
HP Discover: Real Time Insights from Big Data
HP Discover: Real Time Insights from Big DataHP Discover: Real Time Insights from Big Data
HP Discover: Real Time Insights from Big Data
 
Visualise Your Cloud Data Strategy: MongoDB Atlas and Charts (Sponsored by Mo...
Visualise Your Cloud Data Strategy: MongoDB Atlas and Charts (Sponsored by Mo...Visualise Your Cloud Data Strategy: MongoDB Atlas and Charts (Sponsored by Mo...
Visualise Your Cloud Data Strategy: MongoDB Atlas and Charts (Sponsored by Mo...
 
247 overviewmongodbevening-bangalore
247 overviewmongodbevening-bangalore247 overviewmongodbevening-bangalore
247 overviewmongodbevening-bangalore
 
Vitalii Bondarenko "Machine Learning on Fast Data"
Vitalii Bondarenko "Machine Learning on Fast Data"Vitalii Bondarenko "Machine Learning on Fast Data"
Vitalii Bondarenko "Machine Learning on Fast Data"
 
TSS - Beyond Data Grid
TSS - Beyond Data GridTSS - Beyond Data Grid
TSS - Beyond Data Grid
 
Best analytics tool
 Best analytics tool Best analytics tool
Best analytics tool
 
[WSO2Con EU 2018] Architecting for a Container Native Environment
[WSO2Con EU 2018] Architecting for a Container Native Environment[WSO2Con EU 2018] Architecting for a Container Native Environment
[WSO2Con EU 2018] Architecting for a Container Native Environment
 
Google Bigtable
Google BigtableGoogle Bigtable
Google Bigtable
 
Architecture Blue Print
Architecture Blue PrintArchitecture Blue Print
Architecture Blue Print
 
Vistrails and VTK Comparison
Vistrails and VTK ComparisonVistrails and VTK Comparison
Vistrails and VTK Comparison
 
Tableau Data Sheet | Whitepaper
Tableau Data Sheet | WhitepaperTableau Data Sheet | Whitepaper
Tableau Data Sheet | Whitepaper
 
PyData NYC 2015 Presentation
PyData NYC 2015 PresentationPyData NYC 2015 Presentation
PyData NYC 2015 Presentation
 
WSO2Con ASIA 2016: API Driven Innovation Within the Enterprise
WSO2Con ASIA 2016: API Driven Innovation Within the EnterpriseWSO2Con ASIA 2016: API Driven Innovation Within the Enterprise
WSO2Con ASIA 2016: API Driven Innovation Within the Enterprise
 
Cloudant on Linux on z - Excellent information
Cloudant on Linux on z - Excellent informationCloudant on Linux on z - Excellent information
Cloudant on Linux on z - Excellent information
 
3D Solution Templates - Making the World 3D
3D Solution Templates - Making the World 3D3D Solution Templates - Making the World 3D
3D Solution Templates - Making the World 3D
 
KDOT Aviation Portal Update: Cesium, FME
KDOT Aviation Portal Update: Cesium, FMEKDOT Aviation Portal Update: Cesium, FME
KDOT Aviation Portal Update: Cesium, FME
 
Analysing Web GIS apps
Analysing Web GIS appsAnalysing Web GIS apps
Analysing Web GIS apps
 
Rethinking Quicksign's Digital Onboarding - Confluent Streaming Days Paris
Rethinking Quicksign's Digital Onboarding - Confluent Streaming Days ParisRethinking Quicksign's Digital Onboarding - Confluent Streaming Days Paris
Rethinking Quicksign's Digital Onboarding - Confluent Streaming Days Paris
 

Similaire à CZJUG Intro - BI Platform as a Service - a case for Java in the Cloud

From open data to API-driven business
From open data to API-driven businessFrom open data to API-driven business
From open data to API-driven businessOpenDataSoft
 
Alex Wade, Digital Library Interoperability
Alex Wade, Digital Library InteroperabilityAlex Wade, Digital Library Interoperability
Alex Wade, Digital Library Interoperabilityparker01
 
InfoSphere BigInsights - Analytics power for Hadoop - field experience
InfoSphere BigInsights - Analytics power for Hadoop - field experienceInfoSphere BigInsights - Analytics power for Hadoop - field experience
InfoSphere BigInsights - Analytics power for Hadoop - field experienceWilfried Hoge
 
data-mesh-101.pptx
data-mesh-101.pptxdata-mesh-101.pptx
data-mesh-101.pptxTarekHamdi8
 
Top10 Strategics Technology for 2010 using Sun Products
Top10 Strategics Technology for 2010 using Sun ProductsTop10 Strategics Technology for 2010 using Sun Products
Top10 Strategics Technology for 2010 using Sun ProductsThanachart Numnonda
 
UI Dev in Big data world using open source
UI Dev in Big data world using open sourceUI Dev in Big data world using open source
UI Dev in Big data world using open sourceTech Triveni
 
Digital Reinvention by NRB
Digital Reinvention by NRBDigital Reinvention by NRB
Digital Reinvention by NRBWilliam Poos
 
How Service Mesh Fits into the Modern Data Stack
How Service Mesh Fits into the Modern Data StackHow Service Mesh Fits into the Modern Data Stack
How Service Mesh Fits into the Modern Data StackFabian Hardt
 
Embedded Analytics & Integration into OEM and SaaS Applications
Embedded Analytics & Integration into OEM and SaaS ApplicationsEmbedded Analytics & Integration into OEM and SaaS Applications
Embedded Analytics & Integration into OEM and SaaS ApplicationsJReport
 
AFCEA C4I Symposium: The 4th C in C4I Stands for Cloud:Factors Driving Adopti...
AFCEA C4I Symposium: The 4th C in C4I Stands for Cloud:Factors Driving Adopti...AFCEA C4I Symposium: The 4th C in C4I Stands for Cloud:Factors Driving Adopti...
AFCEA C4I Symposium: The 4th C in C4I Stands for Cloud:Factors Driving Adopti...Patrick Chanezon
 
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...InfluxData
 
Running Data Platforms Like Products
Running Data Platforms Like ProductsRunning Data Platforms Like Products
Running Data Platforms Like ProductsVMware Tanzu
 
Achieving Visibility and Insight across OpenStack Projects.ppt
Achieving Visibility and Insight across OpenStack Projects.pptAchieving Visibility and Insight across OpenStack Projects.ppt
Achieving Visibility and Insight across OpenStack Projects.pptOpenStack Foundation
 
zAgile for OpenStack Summit - v2-3.ppt
zAgile for OpenStack Summit - v2-3.pptzAgile for OpenStack Summit - v2-3.ppt
zAgile for OpenStack Summit - v2-3.pptOpenStack Foundation
 
Big Data Technologies.pdf
Big Data Technologies.pdfBig Data Technologies.pdf
Big Data Technologies.pdfRAHULRAHU8
 
Build an Open Source Data Lake For Data Scientists
Build an Open Source Data Lake For Data ScientistsBuild an Open Source Data Lake For Data Scientists
Build an Open Source Data Lake For Data ScientistsShawn Zhu
 

Similaire à CZJUG Intro - BI Platform as a Service - a case for Java in the Cloud (20)

From open data to API-driven business
From open data to API-driven businessFrom open data to API-driven business
From open data to API-driven business
 
Alex Wade, Digital Library Interoperability
Alex Wade, Digital Library InteroperabilityAlex Wade, Digital Library Interoperability
Alex Wade, Digital Library Interoperability
 
InfoSphere BigInsights - Analytics power for Hadoop - field experience
InfoSphere BigInsights - Analytics power for Hadoop - field experienceInfoSphere BigInsights - Analytics power for Hadoop - field experience
InfoSphere BigInsights - Analytics power for Hadoop - field experience
 
data-mesh-101.pptx
data-mesh-101.pptxdata-mesh-101.pptx
data-mesh-101.pptx
 
Top10 Strategics Technology for 2010 using Sun Products
Top10 Strategics Technology for 2010 using Sun ProductsTop10 Strategics Technology for 2010 using Sun Products
Top10 Strategics Technology for 2010 using Sun Products
 
Mihai_Nuta
Mihai_NutaMihai_Nuta
Mihai_Nuta
 
UI Dev in Big data world using open source
UI Dev in Big data world using open sourceUI Dev in Big data world using open source
UI Dev in Big data world using open source
 
Digital Reinvention by NRB
Digital Reinvention by NRBDigital Reinvention by NRB
Digital Reinvention by NRB
 
How Service Mesh Fits into the Modern Data Stack
How Service Mesh Fits into the Modern Data StackHow Service Mesh Fits into the Modern Data Stack
How Service Mesh Fits into the Modern Data Stack
 
Ibm db2update2019 icp4 data
Ibm db2update2019   icp4 dataIbm db2update2019   icp4 data
Ibm db2update2019 icp4 data
 
Serverless SQL
Serverless SQLServerless SQL
Serverless SQL
 
Embedded Analytics & Integration into OEM and SaaS Applications
Embedded Analytics & Integration into OEM and SaaS ApplicationsEmbedded Analytics & Integration into OEM and SaaS Applications
Embedded Analytics & Integration into OEM and SaaS Applications
 
AFCEA C4I Symposium: The 4th C in C4I Stands for Cloud:Factors Driving Adopti...
AFCEA C4I Symposium: The 4th C in C4I Stands for Cloud:Factors Driving Adopti...AFCEA C4I Symposium: The 4th C in C4I Stands for Cloud:Factors Driving Adopti...
AFCEA C4I Symposium: The 4th C in C4I Stands for Cloud:Factors Driving Adopti...
 
Secure Big Data Analytics - Hadoop & Intel
Secure Big Data Analytics - Hadoop & IntelSecure Big Data Analytics - Hadoop & Intel
Secure Big Data Analytics - Hadoop & Intel
 
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...
 
Running Data Platforms Like Products
Running Data Platforms Like ProductsRunning Data Platforms Like Products
Running Data Platforms Like Products
 
Achieving Visibility and Insight across OpenStack Projects.ppt
Achieving Visibility and Insight across OpenStack Projects.pptAchieving Visibility and Insight across OpenStack Projects.ppt
Achieving Visibility and Insight across OpenStack Projects.ppt
 
zAgile for OpenStack Summit - v2-3.ppt
zAgile for OpenStack Summit - v2-3.pptzAgile for OpenStack Summit - v2-3.ppt
zAgile for OpenStack Summit - v2-3.ppt
 
Big Data Technologies.pdf
Big Data Technologies.pdfBig Data Technologies.pdf
Big Data Technologies.pdf
 
Build an Open Source Data Lake For Data Scientists
Build an Open Source Data Lake For Data ScientistsBuild an Open Source Data Lake For Data Scientists
Build an Open Source Data Lake For Data Scientists
 

Plus de Jaroslav Gergic

Software Architecture in the age of Cloud Computing
Software Architecture in the age of Cloud ComputingSoftware Architecture in the age of Cloud Computing
Software Architecture in the age of Cloud ComputingJaroslav Gergic
 
Agile Development Practices May 2017
Agile Development Practices May 2017Agile Development Practices May 2017
Agile Development Practices May 2017Jaroslav Gergic
 
Big Data Pipeline for Analytics at Scale @ FIT CVUT 2014
Big Data Pipeline for Analytics at Scale @ FIT CVUT 2014Big Data Pipeline for Analytics at Scale @ FIT CVUT 2014
Big Data Pipeline for Analytics at Scale @ FIT CVUT 2014Jaroslav Gergic
 
GoodData: The DevOps Story @ FIT CVUT October 16 2013
GoodData: The DevOps Story @ FIT CVUT October 16 2013GoodData: The DevOps Story @ FIT CVUT October 16 2013
GoodData: The DevOps Story @ FIT CVUT October 16 2013Jaroslav Gergic
 
Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF...
Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF...Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF...
Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF...Jaroslav Gergic
 
GoodData case study at "Nápad roku 2013" - "Jak vybudovat úspěšný globální st...
GoodData case study at "Nápad roku 2013" - "Jak vybudovat úspěšný globální st...GoodData case study at "Nápad roku 2013" - "Jak vybudovat úspěšný globální st...
GoodData case study at "Nápad roku 2013" - "Jak vybudovat úspěšný globální st...Jaroslav Gergic
 
eClub CVUT - How to organize work in a small startup? - Prague - April 11 2013
eClub CVUT - How to organize work in a small startup? - Prague - April 11 2013eClub CVUT - How to organize work in a small startup? - Prague - April 11 2013
eClub CVUT - How to organize work in a small startup? - Prague - April 11 2013Jaroslav Gergic
 
SaaS - Software as a Service - Charles University - Prague - March 2013
SaaS - Software as a Service - Charles University - Prague - March 2013SaaS - Software as a Service - Charles University - Prague - March 2013
SaaS - Software as a Service - Charles University - Prague - March 2013Jaroslav Gergic
 

Plus de Jaroslav Gergic (8)

Software Architecture in the age of Cloud Computing
Software Architecture in the age of Cloud ComputingSoftware Architecture in the age of Cloud Computing
Software Architecture in the age of Cloud Computing
 
Agile Development Practices May 2017
Agile Development Practices May 2017Agile Development Practices May 2017
Agile Development Practices May 2017
 
Big Data Pipeline for Analytics at Scale @ FIT CVUT 2014
Big Data Pipeline for Analytics at Scale @ FIT CVUT 2014Big Data Pipeline for Analytics at Scale @ FIT CVUT 2014
Big Data Pipeline for Analytics at Scale @ FIT CVUT 2014
 
GoodData: The DevOps Story @ FIT CVUT October 16 2013
GoodData: The DevOps Story @ FIT CVUT October 16 2013GoodData: The DevOps Story @ FIT CVUT October 16 2013
GoodData: The DevOps Story @ FIT CVUT October 16 2013
 
Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF...
Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF...Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF...
Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF...
 
GoodData case study at "Nápad roku 2013" - "Jak vybudovat úspěšný globální st...
GoodData case study at "Nápad roku 2013" - "Jak vybudovat úspěšný globální st...GoodData case study at "Nápad roku 2013" - "Jak vybudovat úspěšný globální st...
GoodData case study at "Nápad roku 2013" - "Jak vybudovat úspěšný globální st...
 
eClub CVUT - How to organize work in a small startup? - Prague - April 11 2013
eClub CVUT - How to organize work in a small startup? - Prague - April 11 2013eClub CVUT - How to organize work in a small startup? - Prague - April 11 2013
eClub CVUT - How to organize work in a small startup? - Prague - April 11 2013
 
SaaS - Software as a Service - Charles University - Prague - March 2013
SaaS - Software as a Service - Charles University - Prague - March 2013SaaS - Software as a Service - Charles University - Prague - March 2013
SaaS - Software as a Service - Charles University - Prague - March 2013
 

Dernier

"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
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
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
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
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
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
 
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
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 

Dernier (20)

"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
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)
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
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
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
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
 
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
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 

CZJUG Intro - BI Platform as a Service - a case for Java in the Cloud

  • 1. BI Platform as a Service A case for Java in the Cloud – Part I CZJUG, Prague, March 28 2011 Jaroslav Gergic jaroslav.gergic@gooddata.com @gooddata
  • 2. • founded by Roman Stanek (NetBeans, Systinet) in 2007 • running on Amazon AWS cloud • public beta in July 2008, commercial launch in 2009 2
  • 3. Business Intelligence and Analytics live customizable dashboards ad-hoc analytics 3
  • 4. Speaking of Platform as a Service... developer portal all tooling on GitHub 4
  • 5. Developer Friendly live REST API inspector (“gray pages”) 5
  • 6. GoodData Cloud BI Platform – Core Concepts • Project = data mart – a unit of management and distribution – deployment: as easy as “New File” • User Information – security boundary – a “walled garden” • Project Data – raw data: numbers and classifcations • Project Metadata – metrics, flters, reports, dashboards – LDM, PDM, operational state – event trace, audit log • Cached Data – pre-aggregated data – materialized slices and dices 6
  • 7. GoodData Cloud BI Platform – Multi Tenant • Multi-Tenant Platform – born on Amazon Web services – stateless web application layer – session-less processing layer – redundant storage • Horizontal Scaling – a pre-confgured node type for each role – shared-nothing architecture between nodes of the same type – nodes of each type can be provisioned on demand independently of others • Horizontal Partitioning – frst-level driven by project separation – with columnar storage second-level partitioning not needed ~100M rows 7
  • 8. 8
  • 9. Operating Cloud BI Platform = Continuous Innovation www.gooddata.com/trust Statistics as of March 2011: • 13,800+ platform users – over 2000 users active on daily basis • 3,280+ data marts – a.k.a. “projects” • 35K+ reports run per business day – report calculations, incl. dashboards While continuously innovating: • production release ~ 2 weeks – 5 releases so far in 2011 • without adverse impacts on uptime 9
  • 10. Thank You http://www.gooddata.com/ https://secure.gooddata.com/ http://developer.gooddata.com/ http://support.gooddata.com/ 10