SlideShare a Scribd company logo
1 of 39
Download to read offline
Company Profile
Make your DMP process 100% of
incoming bid requests
Ad at the speed of light
Sergey Zhemzhitsky,
CTO, CleverDATA
January 30, 2015
cleverdata.ru | info@cleverdata.ru
International market
business development
since 2012
One of three leading IT companies in Russia
43 branches in Russia and abroad
+5500 employees
100K projects for 10K customers
Data management innovative
platform (Data Exchange Service)
Cloud Service
In-house development
Internet advertising solutions
Data Management Platforms
Customers Base Management
Web Analytics
Marketing automation
Big Data
Data Mining
Digital Intelligence
Operational Intelligence
Low Latency and NoSQL
Cloud Computing
cleverdata.ru | info@cleverdata.ru
Agenda
• RTB intro;
• Challenges;
• Choice difficulties;
• Results;
• Do’s and Don’ts.
cleverdata.ru | info@cleverdata.ru
RTB intro
cleverdata.ru | info@cleverdata.ru
Real Time Bidding (RTB)
publishers
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
advertisers
cleverdata.ru | info@cleverdata.ru
How RTB works
publishers
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
advertisers
cleverdata.ru | info@cleverdata.ru
Demand Side Platform (DSP)
advertiserspublishers
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
D
S
P
cleverdata.ru | info@cleverdata.ru
Supply Side Platform (SSP)
publishers
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
AD NETWORK
advertisers
S
S
P
TRACKING DATA
cleverdata.ru | info@cleverdata.ru
Data Management Platform (DMP)
publishers
COOKIE SYNCs
ACCESS LOGS
PARTNERS’ DATA
3rd PARTY DATA
CLICK STREAMS
advertisers
S
S
P
D
S
P
WHATEVER ELSE DATA
cleverdata.ru | info@cleverdata.ru
RTB challenges
visitors publishers
advertisers100ms 20 ms
10.000+ rps
TRACKING DATA
cleverdata.ru | info@cleverdata.ru
publishers
COOKIE SYNCs
ACCESS LOGS
PARTNER’S DATA
3rd PARTY DATA
CLICK STREAMS
advertisers
S
S
P
D
S
P
DMP in the RTB ecosystem
DMP
cleverdata.ru | info@cleverdata.ru
Wishes…
cleverdata.ru | info@cleverdata.ru
Choice criteria
• Linear scalability;
• Sharding “out of the box”;
• Distributed by design;
• Data redundancy & replication;
• Low latency.
cleverdata.ru | info@cleverdata.ru
Which NoSQL … again
cleverdata.ru | info@cleverdata.ru
Aerospike Cassandra Mongo Redis
Scalability
Sharding
Redundancy
Latency
SPoF
Maintainability
Monitoring tools
Features
cleverdata.ru | info@cleverdata.ru
Public results
cleverdata.ru | info@cleverdata.ru
nginx 1.2.x
ngx-http-redis
lua-nginx-module
lua-resty-mongol
ngx-aerospike
aerospike 2.x
redis 2.6.x
mongodb 2.4.x
wrk
iperf
nmon
• Intel® Core™ i7-920 Quad-Core
• 48 GB RAM
• 1 Gbit/s NICs (*)
• 20 * 106 msgs
• 512 bytes msg
Tools & Materials
cleverdata.ru | info@cleverdata.ru
• No logging;
• No plugins;
• CPU Affinity.
NGINX
WRK
Measuring Nginx
cleverdata.ru | info@cleverdata.ru
Nginx results. Base line
L., ms., 50% L., ms., 75% L., ms., 90% L., ms., 99% T., r/s
1.35 1.46 1.64 1.90 68851
cleverdata.ru | info@cleverdata.ru
Measuring Redis
NGINX
WRK
Node 1
Shard 1
Shard 2
Slave 3
Slave 4
Node 2
Shard 3
Shard 4
Slave 5
Slave 6
Node 3
Shard 5
Shard 6
Slave 2
Slave 1
cleverdata.ru | info@cleverdata.ru
Redis results
L., ms., 50% L., ms., 75% L., ms., 90% L., ms., 99% T., r/s
2.68 3.10 3.25 3.90 34769
cleverdata.ru | info@cleverdata.ru
Redis results
cleverdata.ru | info@cleverdata.ru
Measuring Mongo
NGINX :: MONGOS
WRK
Node 1
mongod :: cfg
mongod :: repl
mongod :: repl
mongod :: repl
Node 2
mongod :: cfg
mongod :: repl
mongod :: repl
mongod :: repl
Node 3
mongod :: cfg
mongod :: repl
mongod :: repl
mongod :: repl
Shard 1
Replica Set 1
Shard 2
Replica Set 2
Shard 3
Replica Set 3
cleverdata.ru | info@cleverdata.ru
Mongo results
L., ms., 50% L., ms., 75% L., ms., 90% L., ms., 99% T., r/s
6.70 8.22 10.22 15.46 14220
cleverdata.ru | info@cleverdata.ru
Mongo results
cleverdata.ru | info@cleverdata.ru
Node 1
Chunk 1
Replica 2
Node 2
Chunk 2
Replica 3
Node 3
Chunk 3
Replica 1
NGINX
WRK
Measuring Aerospike
cleverdata.ru | info@cleverdata.ru
L., ms., 50% L., ms., 75% L., ms., 90% L., ms., 99% T., r/s
8.93 14.99 26.83 106.48 3402
Aerospike results
cleverdata.ru | info@cleverdata.ru
Aerospike results
cleverdata.ru | info@cleverdata.ru
Wks L, 50% L, 75% L, 90% L, 99% T, r/s Ngx, CPU Ngx, p/s As, CPU As, p/s
4 8.22 10.22 15.46 97.3 3402 7 8 K 1 1 K
8 7.89 15.16 92.4 89.8 6028 10 13 K 1 2 K
12 4.76 8.74 103.1 121.6 10233 15 20 K 2 3 K
16 3.91 6.21 99.6 111.3 13178 22 26 K 3 6 K
24 2.13 2.87 4.68 76.81 25744 21 60 K 5 10 K
32 2.01 2.60 4.42 81.29 28925 25 70 K 6 11 K
64 2.54 3.66 112.4 118.1 26468 27 70 K 6 11 K
… more Aerospike results
cleverdata.ru | info@cleverdata.ru
nginx
+ blocking I/O
How to shoot yourself in the foot…
cleverdata.ru | info@cleverdata.ru
Libevent to the rescue (2nd attempt)
Node 1
Chunk 1
Replica 2
Node 2
Chunk 2
Replica 3
Node 3
Chunk 3
Replica 1
LIBEVENT :: LIBEVHTP
WRK
cleverdata.ru | info@cleverdata.ru
Finally…
L., ms., 50% L., ms., 75% L., ms., 90% L., ms., 99% T., r/s
2.64 3.09 3.27 3.95 35746
cleverdata.ru | info@cleverdata.ru
Finally…
cleverdata.ru | info@cleverdata.ru
Nginx Redis Mongo Aerospike, b Aerospike, nb
Latency, 50% 1.35 2.68 6.70 8.93 2.64
Latency, 75% 1.46 3.10 8.22 14.99 3.09
Latency, 90% 1.64 3.25 10.22 26.83 3.27
Latency, 99% 1.90 3.90 15.46 106.48 3.95
Throughput, m/s 68851 34769 14220 3402 35746
CPU, Http, % 29 20 70 7 33
Network, Http, p/s, K 71 71 37 8 71
CPU, Db, % - 6 25 1 6
Network, Http, p/s, K - 12 21 1 12
Unofficial results
cleverdata.ru | info@cleverdata.ru
Aerospike
cleverdata.ru | info@cleverdata.ru
Let’s start building…
cleverdata.ru | info@cleverdata.ru
• Do use non-blocking I/O;
• Do computations locally;
• Be lazy. Don’t do more than needed;
• Don’t afraid of using other’s good ideas;
• Don’t trust anyone.
Do’s & Don’ts
cleverdata.ru | info@cleverdata.ru
Thanks a lot for your questions!
+7 (495) 967-66-50
info@cleverdata.ru
cleverdata.ru
facebook.com/CleverData

More Related Content

Similar to CleverDATA_HighLoadStrategy_presentation

Klessydra t - designing vector coprocessors for multi-threaded edge-computing...
Klessydra t - designing vector coprocessors for multi-threaded edge-computing...Klessydra t - designing vector coprocessors for multi-threaded edge-computing...
Klessydra t - designing vector coprocessors for multi-threaded edge-computing...RISC-V International
 
Keynote: Machine Learning for Design Automation at DAC 2018
Keynote:  Machine Learning for Design Automation at DAC 2018Keynote:  Machine Learning for Design Automation at DAC 2018
Keynote: Machine Learning for Design Automation at DAC 2018Manish Pandey
 
Experiences in ELK with D3.js for Large Log Analysis and Visualization
Experiences in ELK with D3.js  for Large Log Analysis  and VisualizationExperiences in ELK with D3.js  for Large Log Analysis  and Visualization
Experiences in ELK with D3.js for Large Log Analysis and VisualizationSurasak Sanguanpong
 
Live Coding a KSQL Application
Live Coding a KSQL ApplicationLive Coding a KSQL Application
Live Coding a KSQL Applicationconfluent
 
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-Healing
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-HealingApplying AI to Performance Engineering: Shift-Left, Shift-Right, Self-Healing
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-HealingAndreas Grabner
 
Cassandra Tools and Distributed Administration (Jeffrey Berger, Knewton) | C*...
Cassandra Tools and Distributed Administration (Jeffrey Berger, Knewton) | C*...Cassandra Tools and Distributed Administration (Jeffrey Berger, Knewton) | C*...
Cassandra Tools and Distributed Administration (Jeffrey Berger, Knewton) | C*...DataStax
 
AWS 클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트
AWS  클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트AWS  클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트
AWS 클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트Amazon Web Services Korea
 
M|18 Scalability via Expendable Resources: Containers at BlaBlaCar
M|18 Scalability via Expendable Resources: Containers at BlaBlaCarM|18 Scalability via Expendable Resources: Containers at BlaBlaCar
M|18 Scalability via Expendable Resources: Containers at BlaBlaCarMariaDB plc
 
Bogdan Kecman Advanced Databasing
Bogdan Kecman Advanced DatabasingBogdan Kecman Advanced Databasing
Bogdan Kecman Advanced DatabasingBogdan Kecman
 
Redis Day TLV 2018 - 10 Reasons why Redis should be your Primary Database
Redis Day TLV 2018 - 10 Reasons why Redis should be your Primary DatabaseRedis Day TLV 2018 - 10 Reasons why Redis should be your Primary Database
Redis Day TLV 2018 - 10 Reasons why Redis should be your Primary DatabaseRedis Labs
 
Big Data-Driven Applications with Cassandra and Spark
Big Data-Driven Applications  with Cassandra and SparkBig Data-Driven Applications  with Cassandra and Spark
Big Data-Driven Applications with Cassandra and SparkArtem Chebotko
 
Edge optimized architecture for fabric defect detection in real-time
Edge optimized architecture for fabric defect detection in real-timeEdge optimized architecture for fabric defect detection in real-time
Edge optimized architecture for fabric defect detection in real-timeShuquan Huang
 
Code4Lib 2007: MyResearch Portal
Code4Lib 2007: MyResearch PortalCode4Lib 2007: MyResearch Portal
Code4Lib 2007: MyResearch Portaleby
 
Villar presentation.pdf
Villar presentation.pdfVillar presentation.pdf
Villar presentation.pdfEugenio Villar
 
Network Automation with Salt and NAPALM: Introuction
Network Automation with Salt and NAPALM: IntrouctionNetwork Automation with Salt and NAPALM: Introuction
Network Automation with Salt and NAPALM: IntrouctionCloudflare
 
Moving Toward Deep Learning Algorithms on HPCC Systems
Moving Toward Deep Learning Algorithms on HPCC SystemsMoving Toward Deep Learning Algorithms on HPCC Systems
Moving Toward Deep Learning Algorithms on HPCC SystemsHPCC Systems
 
Life Cycle of Metrics, Alerting, and Performance Monitoring in Microservices
Life Cycle of Metrics, Alerting, and Performance Monitoring in MicroservicesLife Cycle of Metrics, Alerting, and Performance Monitoring in Microservices
Life Cycle of Metrics, Alerting, and Performance Monitoring in MicroservicesSean Chittenden
 
EDA Meets Data Engineering – What's the Big Deal?
EDA Meets Data Engineering – What's the Big Deal?EDA Meets Data Engineering – What's the Big Deal?
EDA Meets Data Engineering – What's the Big Deal?confluent
 

Similar to CleverDATA_HighLoadStrategy_presentation (20)

Klessydra t - designing vector coprocessors for multi-threaded edge-computing...
Klessydra t - designing vector coprocessors for multi-threaded edge-computing...Klessydra t - designing vector coprocessors for multi-threaded edge-computing...
Klessydra t - designing vector coprocessors for multi-threaded edge-computing...
 
Elastic{ON} 2017 Recap
Elastic{ON} 2017 RecapElastic{ON} 2017 Recap
Elastic{ON} 2017 Recap
 
Keynote: Machine Learning for Design Automation at DAC 2018
Keynote:  Machine Learning for Design Automation at DAC 2018Keynote:  Machine Learning for Design Automation at DAC 2018
Keynote: Machine Learning for Design Automation at DAC 2018
 
Experiences in ELK with D3.js for Large Log Analysis and Visualization
Experiences in ELK with D3.js  for Large Log Analysis  and VisualizationExperiences in ELK with D3.js  for Large Log Analysis  and Visualization
Experiences in ELK with D3.js for Large Log Analysis and Visualization
 
Live Coding a KSQL Application
Live Coding a KSQL ApplicationLive Coding a KSQL Application
Live Coding a KSQL Application
 
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-Healing
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-HealingApplying AI to Performance Engineering: Shift-Left, Shift-Right, Self-Healing
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-Healing
 
Cassandra Tools and Distributed Administration (Jeffrey Berger, Knewton) | C*...
Cassandra Tools and Distributed Administration (Jeffrey Berger, Knewton) | C*...Cassandra Tools and Distributed Administration (Jeffrey Berger, Knewton) | C*...
Cassandra Tools and Distributed Administration (Jeffrey Berger, Knewton) | C*...
 
AWS 클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트
AWS  클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트AWS  클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트
AWS 클라우드 기반 서버리스 컴퓨팅 패턴과 사례 ::: KRNET 2017 - 윤석찬, 테크에반젤리스트
 
M|18 Scalability via Expendable Resources: Containers at BlaBlaCar
M|18 Scalability via Expendable Resources: Containers at BlaBlaCarM|18 Scalability via Expendable Resources: Containers at BlaBlaCar
M|18 Scalability via Expendable Resources: Containers at BlaBlaCar
 
Bogdan Kecman Advanced Databasing
Bogdan Kecman Advanced DatabasingBogdan Kecman Advanced Databasing
Bogdan Kecman Advanced Databasing
 
Redis Day TLV 2018 - 10 Reasons why Redis should be your Primary Database
Redis Day TLV 2018 - 10 Reasons why Redis should be your Primary DatabaseRedis Day TLV 2018 - 10 Reasons why Redis should be your Primary Database
Redis Day TLV 2018 - 10 Reasons why Redis should be your Primary Database
 
Big Data-Driven Applications with Cassandra and Spark
Big Data-Driven Applications  with Cassandra and SparkBig Data-Driven Applications  with Cassandra and Spark
Big Data-Driven Applications with Cassandra and Spark
 
Edge optimized architecture for fabric defect detection in real-time
Edge optimized architecture for fabric defect detection in real-timeEdge optimized architecture for fabric defect detection in real-time
Edge optimized architecture for fabric defect detection in real-time
 
Code4Lib 2007: MyResearch Portal
Code4Lib 2007: MyResearch PortalCode4Lib 2007: MyResearch Portal
Code4Lib 2007: MyResearch Portal
 
Villar presentation.pdf
Villar presentation.pdfVillar presentation.pdf
Villar presentation.pdf
 
Network Automation with Salt and NAPALM: Introuction
Network Automation with Salt and NAPALM: IntrouctionNetwork Automation with Salt and NAPALM: Introuction
Network Automation with Salt and NAPALM: Introuction
 
Moving Toward Deep Learning Algorithms on HPCC Systems
Moving Toward Deep Learning Algorithms on HPCC SystemsMoving Toward Deep Learning Algorithms on HPCC Systems
Moving Toward Deep Learning Algorithms on HPCC Systems
 
Life Cycle of Metrics, Alerting, and Performance Monitoring in Microservices
Life Cycle of Metrics, Alerting, and Performance Monitoring in MicroservicesLife Cycle of Metrics, Alerting, and Performance Monitoring in Microservices
Life Cycle of Metrics, Alerting, and Performance Monitoring in Microservices
 
EDA Meets Data Engineering – What's the Big Deal?
EDA Meets Data Engineering – What's the Big Deal?EDA Meets Data Engineering – What's the Big Deal?
EDA Meets Data Engineering – What's the Big Deal?
 
Smallsat 2021
Smallsat 2021Smallsat 2021
Smallsat 2021
 

More from CleverDATA

CRM onboarding - оффлайн данные для онлайн рекламы
CRM onboarding - оффлайн данные для онлайн рекламы CRM onboarding - оффлайн данные для онлайн рекламы
CRM onboarding - оффлайн данные для онлайн рекламы CleverDATA
 
Jpoint 2017 - как это было (обзор конференции)
Jpoint 2017 - как это было (обзор конференции)Jpoint 2017 - как это было (обзор конференции)
Jpoint 2017 - как это было (обзор конференции)CleverDATA
 
Большие данные в маркетинге: обработка, хранение, монетизация (Big Data 2017)
Большие данные в маркетинге: обработка, хранение, монетизация (Big Data 2017)Большие данные в маркетинге: обработка, хранение, монетизация (Big Data 2017)
Большие данные в маркетинге: обработка, хранение, монетизация (Big Data 2017)CleverDATA
 
Data exchange как ключевой элемент экосистемы обмена данными
Data exchange как ключевой элемент экосистемы обмена даннымиData exchange как ключевой элемент экосистемы обмена данными
Data exchange как ключевой элемент экосистемы обмена даннымиCleverDATA
 
Text mining of Beauty Blogs: о чем говорят женщины? (Артем Просветов, data sc...
Text mining of Beauty Blogs: о чем говорят женщины? (Артем Просветов, data sc...Text mining of Beauty Blogs: о чем говорят женщины? (Артем Просветов, data sc...
Text mining of Beauty Blogs: о чем говорят женщины? (Артем Просветов, data sc...CleverDATA
 
CleverDATA _HybridConf16_Public
CleverDATA _HybridConf16_PublicCleverDATA _HybridConf16_Public
CleverDATA _HybridConf16_PublicCleverDATA
 
Splunk for IT Operations and IT Service Intelligence
Splunk for IT Operations and IT Service IntelligenceSplunk for IT Operations and IT Service Intelligence
Splunk for IT Operations and IT Service IntelligenceCleverDATA
 
Splunk - универсальная платформа для работы с любыми данными
Splunk - универсальная платформа для работы с любыми даннымиSplunk - универсальная платформа для работы с любыми данными
Splunk - универсальная платформа для работы с любыми даннымиCleverDATA
 
Big data. Тренды и технологии. Использование в работе с клиентами.
Big data. Тренды и технологии. Использование в работе с клиентами.Big data. Тренды и технологии. Использование в работе с клиентами.
Big data. Тренды и технологии. Использование в работе с клиентами.CleverDATA
 
CleverDATA_Afanasev_DigitalEconomy
CleverDATA_Afanasev_DigitalEconomyCleverDATA_Afanasev_DigitalEconomy
CleverDATA_Afanasev_DigitalEconomyCleverDATA
 
Д.Афанасьев_ CleverDATA_Охота за данными
Д.Афанасьев_ CleverDATA_Охота за даннымиД.Афанасьев_ CleverDATA_Охота за данными
Д.Афанасьев_ CleverDATA_Охота за даннымиCleverDATA
 
CleverDATA (Denis Reymer) presentation for CNews Forum 2015 (Banking Section)
CleverDATA (Denis Reymer) presentation for CNews Forum 2015 (Banking Section)CleverDATA (Denis Reymer) presentation for CNews Forum 2015 (Banking Section)
CleverDATA (Denis Reymer) presentation for CNews Forum 2015 (Banking Section)CleverDATA
 
Fors и big data appliance
Fors и big data applianceFors и big data appliance
Fors и big data applianceCleverDATA
 
Oracle big data for finance
Oracle big data for financeOracle big data for finance
Oracle big data for financeCleverDATA
 
Clever data 1dmp_oracle_fors
Clever data 1dmp_oracle_forsClever data 1dmp_oracle_fors
Clever data 1dmp_oracle_forsCleverDATA
 
Clever data datascienceweek_spark_vs_hadoop_in_online_audience_segmentation
Clever data datascienceweek_spark_vs_hadoop_in_online_audience_segmentationClever data datascienceweek_spark_vs_hadoop_in_online_audience_segmentation
Clever data datascienceweek_spark_vs_hadoop_in_online_audience_segmentationCleverDATA
 
Customers segmentation_responce prediction
Customers segmentation_responce predictionCustomers segmentation_responce prediction
Customers segmentation_responce predictionCleverDATA
 
HR_Scoring_CleverDATA
HR_Scoring_CleverDATAHR_Scoring_CleverDATA
HR_Scoring_CleverDATACleverDATA
 
CleverDATA_Oracle Cloud BI Day 2015
CleverDATA_Oracle Cloud BI Day 2015CleverDATA_Oracle Cloud BI Day 2015
CleverDATA_Oracle Cloud BI Day 2015CleverDATA
 
CleverDATA for Hadoop_Meetup_22052015_Spark_vs_Hadoop
CleverDATA for Hadoop_Meetup_22052015_Spark_vs_HadoopCleverDATA for Hadoop_Meetup_22052015_Spark_vs_Hadoop
CleverDATA for Hadoop_Meetup_22052015_Spark_vs_HadoopCleverDATA
 

More from CleverDATA (20)

CRM onboarding - оффлайн данные для онлайн рекламы
CRM onboarding - оффлайн данные для онлайн рекламы CRM onboarding - оффлайн данные для онлайн рекламы
CRM onboarding - оффлайн данные для онлайн рекламы
 
Jpoint 2017 - как это было (обзор конференции)
Jpoint 2017 - как это было (обзор конференции)Jpoint 2017 - как это было (обзор конференции)
Jpoint 2017 - как это было (обзор конференции)
 
Большие данные в маркетинге: обработка, хранение, монетизация (Big Data 2017)
Большие данные в маркетинге: обработка, хранение, монетизация (Big Data 2017)Большие данные в маркетинге: обработка, хранение, монетизация (Big Data 2017)
Большие данные в маркетинге: обработка, хранение, монетизация (Big Data 2017)
 
Data exchange как ключевой элемент экосистемы обмена данными
Data exchange как ключевой элемент экосистемы обмена даннымиData exchange как ключевой элемент экосистемы обмена данными
Data exchange как ключевой элемент экосистемы обмена данными
 
Text mining of Beauty Blogs: о чем говорят женщины? (Артем Просветов, data sc...
Text mining of Beauty Blogs: о чем говорят женщины? (Артем Просветов, data sc...Text mining of Beauty Blogs: о чем говорят женщины? (Артем Просветов, data sc...
Text mining of Beauty Blogs: о чем говорят женщины? (Артем Просветов, data sc...
 
CleverDATA _HybridConf16_Public
CleverDATA _HybridConf16_PublicCleverDATA _HybridConf16_Public
CleverDATA _HybridConf16_Public
 
Splunk for IT Operations and IT Service Intelligence
Splunk for IT Operations and IT Service IntelligenceSplunk for IT Operations and IT Service Intelligence
Splunk for IT Operations and IT Service Intelligence
 
Splunk - универсальная платформа для работы с любыми данными
Splunk - универсальная платформа для работы с любыми даннымиSplunk - универсальная платформа для работы с любыми данными
Splunk - универсальная платформа для работы с любыми данными
 
Big data. Тренды и технологии. Использование в работе с клиентами.
Big data. Тренды и технологии. Использование в работе с клиентами.Big data. Тренды и технологии. Использование в работе с клиентами.
Big data. Тренды и технологии. Использование в работе с клиентами.
 
CleverDATA_Afanasev_DigitalEconomy
CleverDATA_Afanasev_DigitalEconomyCleverDATA_Afanasev_DigitalEconomy
CleverDATA_Afanasev_DigitalEconomy
 
Д.Афанасьев_ CleverDATA_Охота за данными
Д.Афанасьев_ CleverDATA_Охота за даннымиД.Афанасьев_ CleverDATA_Охота за данными
Д.Афанасьев_ CleverDATA_Охота за данными
 
CleverDATA (Denis Reymer) presentation for CNews Forum 2015 (Banking Section)
CleverDATA (Denis Reymer) presentation for CNews Forum 2015 (Banking Section)CleverDATA (Denis Reymer) presentation for CNews Forum 2015 (Banking Section)
CleverDATA (Denis Reymer) presentation for CNews Forum 2015 (Banking Section)
 
Fors и big data appliance
Fors и big data applianceFors и big data appliance
Fors и big data appliance
 
Oracle big data for finance
Oracle big data for financeOracle big data for finance
Oracle big data for finance
 
Clever data 1dmp_oracle_fors
Clever data 1dmp_oracle_forsClever data 1dmp_oracle_fors
Clever data 1dmp_oracle_fors
 
Clever data datascienceweek_spark_vs_hadoop_in_online_audience_segmentation
Clever data datascienceweek_spark_vs_hadoop_in_online_audience_segmentationClever data datascienceweek_spark_vs_hadoop_in_online_audience_segmentation
Clever data datascienceweek_spark_vs_hadoop_in_online_audience_segmentation
 
Customers segmentation_responce prediction
Customers segmentation_responce predictionCustomers segmentation_responce prediction
Customers segmentation_responce prediction
 
HR_Scoring_CleverDATA
HR_Scoring_CleverDATAHR_Scoring_CleverDATA
HR_Scoring_CleverDATA
 
CleverDATA_Oracle Cloud BI Day 2015
CleverDATA_Oracle Cloud BI Day 2015CleverDATA_Oracle Cloud BI Day 2015
CleverDATA_Oracle Cloud BI Day 2015
 
CleverDATA for Hadoop_Meetup_22052015_Spark_vs_Hadoop
CleverDATA for Hadoop_Meetup_22052015_Spark_vs_HadoopCleverDATA for Hadoop_Meetup_22052015_Spark_vs_Hadoop
CleverDATA for Hadoop_Meetup_22052015_Spark_vs_Hadoop
 

Recently uploaded

#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
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
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 

Recently uploaded (20)

#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
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
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 

CleverDATA_HighLoadStrategy_presentation