SlideShare uma empresa Scribd logo
1 de 17
Seravia in the Cloud Danny Yang May 7, 2011
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sample of Data 2.0 Companies
Our data sets
Mongo ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sphinx ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],sphinxsearch.com
Combining Mongo and Sphinx ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why cloud? ,[object Object],[object Object],[object Object],[object Object]
Amazon Cloud Advantages ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Amazon Cloud users ,[object Object],[object Object],[object Object]
Amazon Web Services (AWS) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Seravia on AWS WWW Data Crawlware ELB EC2  rails, mongo,  mysql, sphinx S3 EC2 parsing, pentaho, ETL S3 EMR hadoop, hive, BI EC2 S3 EC2  rails, mongo,  mysql, sphinx
WWW architecture ELB EC2  webserver S3 EC2  webserver EC2  mongo EC2  sphinx EC2  mysql EC2  webserver, rails EC2  mongo EC2  sphinx
Data Architecture EC2 post-processing EC2 Parsing, ETL S3 EC2 Parsing, ETL EMR Hadoop, hive, BI EC2 post-processing 1. Raw data – html, xml, text files 2. Pre-processed – unrelated tsv files 3. Analyzed – related tsv files and reports 4. Post-processed  –  json documents EC2 post-processing
Crawlware Architecture EC2 Crawler EC2 Crawler EC2 Controller S3 EC2 Crawler EC2 Crawler EC2 Controller
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Q & A

Mais conteúdo relacionado

Mais procurados

213 event processingtalk-deviewkorea.key
213 event processingtalk-deviewkorea.key213 event processingtalk-deviewkorea.key
213 event processingtalk-deviewkorea.keyNAVER D2
 
Data Science Stack with MongoDB and RStudio
Data Science Stack with MongoDB and RStudioData Science Stack with MongoDB and RStudio
Data Science Stack with MongoDB and RStudioWinston Chen
 
AWS September Webinar Series - Running Microservices with Amazon EC2 Contain...
AWS September Webinar Series -  Running Microservices with Amazon EC2 Contain...AWS September Webinar Series -  Running Microservices with Amazon EC2 Contain...
AWS September Webinar Series - Running Microservices with Amazon EC2 Contain...Amazon Web Services
 
Amazon Web Services: Lessons for Architecting Data in the Cloud
Amazon Web Services: Lessons for Architecting Data in the CloudAmazon Web Services: Lessons for Architecting Data in the Cloud
Amazon Web Services: Lessons for Architecting Data in the CloudSafe Software
 
Scaling Analytics with elasticsearch
Scaling Analytics with elasticsearchScaling Analytics with elasticsearch
Scaling Analytics with elasticsearchdnoble00
 
Cascalog at May Bay Area Hadoop User Group
Cascalog at May Bay Area Hadoop User GroupCascalog at May Bay Area Hadoop User Group
Cascalog at May Bay Area Hadoop User Groupnathanmarz
 
What's new in pandas and the SciPy stack for financial users
What's new in pandas and the SciPy stack for financial usersWhat's new in pandas and the SciPy stack for financial users
What's new in pandas and the SciPy stack for financial usersWes McKinney
 
Backbone Conf 2014 - Realtime & Firebase
Backbone Conf 2014 - Realtime & FirebaseBackbone Conf 2014 - Realtime & Firebase
Backbone Conf 2014 - Realtime & FirebaseClément Wehrung
 
Microservices, Continuous Delivery, and Elasticsearch at Capital One
Microservices, Continuous Delivery, and Elasticsearch at Capital OneMicroservices, Continuous Delivery, and Elasticsearch at Capital One
Microservices, Continuous Delivery, and Elasticsearch at Capital OneNoriaki Tatsumi
 
Elasticsearch in 15 minutes
Elasticsearch in 15 minutesElasticsearch in 15 minutes
Elasticsearch in 15 minutesDavid Pilato
 
Hands on experience in real-time data process with AWS Kinesis, Firehose, S3 ...
Hands on experience in real-time data process with AWS Kinesis, Firehose, S3 ...Hands on experience in real-time data process with AWS Kinesis, Firehose, S3 ...
Hands on experience in real-time data process with AWS Kinesis, Firehose, S3 ...Chuan-Yen Chiang
 
Practical Machine Learning for Smarter Search with Solr and Spark
Practical Machine Learning for Smarter Search with Solr and SparkPractical Machine Learning for Smarter Search with Solr and Spark
Practical Machine Learning for Smarter Search with Solr and SparkJake Mannix
 
RubyKaigi Takeout 2021 - Red Arrow - Ruby and Apache Arrow
RubyKaigi Takeout 2021 - Red Arrow - Ruby and Apache ArrowRubyKaigi Takeout 2021 - Red Arrow - Ruby and Apache Arrow
RubyKaigi Takeout 2021 - Red Arrow - Ruby and Apache ArrowKouhei Sutou
 
Distributed search solutions and comparison
Distributed search   solutions and comparison Distributed search   solutions and comparison
Distributed search solutions and comparison zingopen
 
SAS integration with NoSQL data
SAS integration with NoSQL dataSAS integration with NoSQL data
SAS integration with NoSQL dataKevin Lee
 

Mais procurados (20)

Deploying On EC2
Deploying On EC2Deploying On EC2
Deploying On EC2
 
Open source data ingestion
Open source data ingestionOpen source data ingestion
Open source data ingestion
 
213 event processingtalk-deviewkorea.key
213 event processingtalk-deviewkorea.key213 event processingtalk-deviewkorea.key
213 event processingtalk-deviewkorea.key
 
Data Science Stack with MongoDB and RStudio
Data Science Stack with MongoDB and RStudioData Science Stack with MongoDB and RStudio
Data Science Stack with MongoDB and RStudio
 
AWS September Webinar Series - Running Microservices with Amazon EC2 Contain...
AWS September Webinar Series -  Running Microservices with Amazon EC2 Contain...AWS September Webinar Series -  Running Microservices with Amazon EC2 Contain...
AWS September Webinar Series - Running Microservices with Amazon EC2 Contain...
 
Amazon Web Services: Lessons for Architecting Data in the Cloud
Amazon Web Services: Lessons for Architecting Data in the CloudAmazon Web Services: Lessons for Architecting Data in the Cloud
Amazon Web Services: Lessons for Architecting Data in the Cloud
 
Scaling Analytics with elasticsearch
Scaling Analytics with elasticsearchScaling Analytics with elasticsearch
Scaling Analytics with elasticsearch
 
Cascalog at May Bay Area Hadoop User Group
Cascalog at May Bay Area Hadoop User GroupCascalog at May Bay Area Hadoop User Group
Cascalog at May Bay Area Hadoop User Group
 
What's new in pandas and the SciPy stack for financial users
What's new in pandas and the SciPy stack for financial usersWhat's new in pandas and the SciPy stack for financial users
What's new in pandas and the SciPy stack for financial users
 
Elasticsearch
ElasticsearchElasticsearch
Elasticsearch
 
Backbone Conf 2014 - Realtime & Firebase
Backbone Conf 2014 - Realtime & FirebaseBackbone Conf 2014 - Realtime & Firebase
Backbone Conf 2014 - Realtime & Firebase
 
Microservices, Continuous Delivery, and Elasticsearch at Capital One
Microservices, Continuous Delivery, and Elasticsearch at Capital OneMicroservices, Continuous Delivery, and Elasticsearch at Capital One
Microservices, Continuous Delivery, and Elasticsearch at Capital One
 
Elasticsearch in 15 minutes
Elasticsearch in 15 minutesElasticsearch in 15 minutes
Elasticsearch in 15 minutes
 
Hands on experience in real-time data process with AWS Kinesis, Firehose, S3 ...
Hands on experience in real-time data process with AWS Kinesis, Firehose, S3 ...Hands on experience in real-time data process with AWS Kinesis, Firehose, S3 ...
Hands on experience in real-time data process with AWS Kinesis, Firehose, S3 ...
 
Practical Machine Learning for Smarter Search with Solr and Spark
Practical Machine Learning for Smarter Search with Solr and SparkPractical Machine Learning for Smarter Search with Solr and Spark
Practical Machine Learning for Smarter Search with Solr and Spark
 
RubyKaigi Takeout 2021 - Red Arrow - Ruby and Apache Arrow
RubyKaigi Takeout 2021 - Red Arrow - Ruby and Apache ArrowRubyKaigi Takeout 2021 - Red Arrow - Ruby and Apache Arrow
RubyKaigi Takeout 2021 - Red Arrow - Ruby and Apache Arrow
 
Graph and Neptune
Graph and NeptuneGraph and Neptune
Graph and Neptune
 
Distributed search solutions and comparison
Distributed search   solutions and comparison Distributed search   solutions and comparison
Distributed search solutions and comparison
 
Elasticsearch
ElasticsearchElasticsearch
Elasticsearch
 
SAS integration with NoSQL data
SAS integration with NoSQL dataSAS integration with NoSQL data
SAS integration with NoSQL data
 

Semelhante a Seravia in the Cloud

Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...Amazon Web Services
 
Big Data Architectural Patterns and Best Practices on AWS
Big Data Architectural Patterns and Best Practices on AWSBig Data Architectural Patterns and Best Practices on AWS
Big Data Architectural Patterns and Best Practices on AWSAmazon Web Services
 
Amazon Athena Capabilities and Use Cases Overview
Amazon Athena Capabilities and Use Cases Overview Amazon Athena Capabilities and Use Cases Overview
Amazon Athena Capabilities and Use Cases Overview Amazon Web Services
 
Database and Analytics on the AWS Cloud - AWS Innovate Toronto
Database and Analytics on the AWS Cloud - AWS Innovate TorontoDatabase and Analytics on the AWS Cloud - AWS Innovate Toronto
Database and Analytics on the AWS Cloud - AWS Innovate TorontoAmazon Web Services
 
Big Data, Ingeniería de datos, y Data Lakes en AWS
Big Data, Ingeniería de datos, y Data Lakes en AWSBig Data, Ingeniería de datos, y Data Lakes en AWS
Big Data, Ingeniería de datos, y Data Lakes en AWSjavier ramirez
 
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...Amazon Web Services
 
BDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSBDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSAmazon Web Services
 
Interactively Querying Large-scale Datasets on Amazon S3
Interactively Querying Large-scale Datasets on Amazon S3Interactively Querying Large-scale Datasets on Amazon S3
Interactively Querying Large-scale Datasets on Amazon S3Amazon Web Services
 
Why Scale Matters and How the Cloud is Really Different (at scale)
Why Scale Matters and How the Cloud is Really Different (at scale)Why Scale Matters and How the Cloud is Really Different (at scale)
Why Scale Matters and How the Cloud is Really Different (at scale)Amazon Web Services
 
Using Data Lakes: Data Analytics Week SF
Using Data Lakes: Data Analytics Week SFUsing Data Lakes: Data Analytics Week SF
Using Data Lakes: Data Analytics Week SFAmazon Web Services
 
ElasticSearch in Production: lessons learned
ElasticSearch in Production: lessons learnedElasticSearch in Production: lessons learned
ElasticSearch in Production: lessons learnedBeyondTrees
 
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...Amazon Web Services
 
Day of Cloud: Amazon EC2
Day of Cloud: Amazon EC2Day of Cloud: Amazon EC2
Day of Cloud: Amazon EC2cmcavoy
 
Build Data Lakes and Analytics on AWS: Patterns & Best Practices - BDA305 - A...
Build Data Lakes and Analytics on AWS: Patterns & Best Practices - BDA305 - A...Build Data Lakes and Analytics on AWS: Patterns & Best Practices - BDA305 - A...
Build Data Lakes and Analytics on AWS: Patterns & Best Practices - BDA305 - A...Amazon Web Services
 
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...Amazon Web Services
 
Full Stack Analytics on AWS - AWS Summit Cape Town 2017
Full Stack Analytics on AWS - AWS Summit Cape Town 2017 Full Stack Analytics on AWS - AWS Summit Cape Town 2017
Full Stack Analytics on AWS - AWS Summit Cape Town 2017 Amazon Web Services
 
Builders' Day - Building Data Lakes for Analytics On AWS LC
Builders' Day - Building Data Lakes for Analytics On AWS LCBuilders' Day - Building Data Lakes for Analytics On AWS LC
Builders' Day - Building Data Lakes for Analytics On AWS LCAmazon Web Services LATAM
 
Semplificare l'analisi dei dati con architetture "Serverless": architetture e...
Semplificare l'analisi dei dati con architetture "Serverless": architetture e...Semplificare l'analisi dei dati con architetture "Serverless": architetture e...
Semplificare l'analisi dei dati con architetture "Serverless": architetture e...Amazon Web Services
 

Semelhante a Seravia in the Cloud (20)

Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
 
Big Data Architectural Patterns and Best Practices on AWS
Big Data Architectural Patterns and Best Practices on AWSBig Data Architectural Patterns and Best Practices on AWS
Big Data Architectural Patterns and Best Practices on AWS
 
Amazon Athena Capabilities and Use Cases Overview
Amazon Athena Capabilities and Use Cases Overview Amazon Athena Capabilities and Use Cases Overview
Amazon Athena Capabilities and Use Cases Overview
 
Database and Analytics on the AWS Cloud - AWS Innovate Toronto
Database and Analytics on the AWS Cloud - AWS Innovate TorontoDatabase and Analytics on the AWS Cloud - AWS Innovate Toronto
Database and Analytics on the AWS Cloud - AWS Innovate Toronto
 
Big Data, Ingeniería de datos, y Data Lakes en AWS
Big Data, Ingeniería de datos, y Data Lakes en AWSBig Data, Ingeniería de datos, y Data Lakes en AWS
Big Data, Ingeniería de datos, y Data Lakes en AWS
 
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
Building Data Lakes and Analytics on AWS; Patterns and Best Practices - BDA30...
 
BDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSBDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWS
 
Interactively Querying Large-scale Datasets on Amazon S3
Interactively Querying Large-scale Datasets on Amazon S3Interactively Querying Large-scale Datasets on Amazon S3
Interactively Querying Large-scale Datasets on Amazon S3
 
Why Scale Matters and How the Cloud is Really Different (at scale)
Why Scale Matters and How the Cloud is Really Different (at scale)Why Scale Matters and How the Cloud is Really Different (at scale)
Why Scale Matters and How the Cloud is Really Different (at scale)
 
Using Data Lakes: Data Analytics Week SF
Using Data Lakes: Data Analytics Week SFUsing Data Lakes: Data Analytics Week SF
Using Data Lakes: Data Analytics Week SF
 
ElasticSearch in Production: lessons learned
ElasticSearch in Production: lessons learnedElasticSearch in Production: lessons learned
ElasticSearch in Production: lessons learned
 
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
(BDT308) Using Amazon Elastic MapReduce as Your Scalable Data Warehouse | AWS...
 
Using Data Lakes
Using Data LakesUsing Data Lakes
Using Data Lakes
 
Day of Cloud: Amazon EC2
Day of Cloud: Amazon EC2Day of Cloud: Amazon EC2
Day of Cloud: Amazon EC2
 
Using Data Lakes
Using Data Lakes Using Data Lakes
Using Data Lakes
 
Build Data Lakes and Analytics on AWS: Patterns & Best Practices - BDA305 - A...
Build Data Lakes and Analytics on AWS: Patterns & Best Practices - BDA305 - A...Build Data Lakes and Analytics on AWS: Patterns & Best Practices - BDA305 - A...
Build Data Lakes and Analytics on AWS: Patterns & Best Practices - BDA305 - A...
 
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
Build Data Lakes & Analytics on AWS: Patterns & Best Practices - BDA305 - Ana...
 
Full Stack Analytics on AWS - AWS Summit Cape Town 2017
Full Stack Analytics on AWS - AWS Summit Cape Town 2017 Full Stack Analytics on AWS - AWS Summit Cape Town 2017
Full Stack Analytics on AWS - AWS Summit Cape Town 2017
 
Builders' Day - Building Data Lakes for Analytics On AWS LC
Builders' Day - Building Data Lakes for Analytics On AWS LCBuilders' Day - Building Data Lakes for Analytics On AWS LC
Builders' Day - Building Data Lakes for Analytics On AWS LC
 
Semplificare l'analisi dei dati con architetture "Serverless": architetture e...
Semplificare l'analisi dei dati con architetture "Serverless": architetture e...Semplificare l'analisi dei dati con architetture "Serverless": architetture e...
Semplificare l'analisi dei dati con architetture "Serverless": architetture e...
 

Último

Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024The Digital Insurer
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbuapidays
 
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
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
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
 
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
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...apidays
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
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
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Zilliz
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 
"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
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 

Último (20)

Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
+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...
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
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
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
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
 
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
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
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
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
"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 ...
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 

Seravia in the Cloud

  • 1. Seravia in the Cloud Danny Yang May 7, 2011
  • 2.
  • 3. Sample of Data 2.0 Companies
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Seravia on AWS WWW Data Crawlware ELB EC2 rails, mongo, mysql, sphinx S3 EC2 parsing, pentaho, ETL S3 EMR hadoop, hive, BI EC2 S3 EC2 rails, mongo, mysql, sphinx
  • 13. WWW architecture ELB EC2 webserver S3 EC2 webserver EC2 mongo EC2 sphinx EC2 mysql EC2 webserver, rails EC2 mongo EC2 sphinx
  • 14. Data Architecture EC2 post-processing EC2 Parsing, ETL S3 EC2 Parsing, ETL EMR Hadoop, hive, BI EC2 post-processing 1. Raw data – html, xml, text files 2. Pre-processed – unrelated tsv files 3. Analyzed – related tsv files and reports 4. Post-processed – json documents EC2 post-processing
  • 15. Crawlware Architecture EC2 Crawler EC2 Crawler EC2 Controller S3 EC2 Crawler EC2 Crawler EC2 Controller
  • 16.
  • 17. Q & A