Don't Gamble With Your Data

•Transferir como PPTX, PDF•

1 gostou•900 visualizações

In this engaging presentation, Bruno Aziza covers 3 key Big Data concept: definitions, lessons and best practices. Subjects covered: What is Big Data? Does Hadoop Matter? How to scale Data Science and Data Scientists? For more, go to www.alpinenow.com Access to 30-day trial @ www.start.alpinenow.com

Tecnologia

DON’T GAMBLE WITH YOUR DATA
AlpineNow.com
Bruno Aziza
CMO
bruno@alpinenow.com

AlpineNow.comAlpineNow.com
The Alpine Difference
World’s 1st Collaborative, Code-Free Solution for Advanced Analytics on Big Data
 Cutting-Edge Algorithms
 End-to-End Analytics Processing
 In-Cluster™: No Data Movement
 Visual, Collaborative
 Lightweight, Big Impact

Relational Data
VELOCITY
VARIETY
VOLUME
AlpineNow.com

AlpineNow.com
VELOCITY
VOLUME
VARIETY
VALUE
VIRALITY
VEHEMSITY
VALIDITY
VASTICITY
VELVESITY
VANITY

8 Proprietary Data Enhancements Algorithms (PageRank for People)
13 Social Networks Processed Every Day
120 Terabytes of Data Storage
200,000 Indexed Users Added Every Day
100,000,000 Users Indexed Every Day
1,000,000,000 Social Signals Processed Every Day
10,000,000,000 API Calls Delivered Every Month
54,000,000,000 Rows of Data In Klout Data Warehouse
AlpineNow.com

1. Transfers from Real to AC Milan for 15 million euros.
2. Injures his knee just three minutes into his first treadmill session.
3. Does NOT play for 2.5 years of his 3 year contract (16 games).
4. Retires.
FERNANDO REDONDO
AlpineNow.com

“We can predict with a 70% accuracy whether the player is going to get hurt or
not”, says 63-year-old Belgian chiropractor Jean-Pierre Meersseman…
.
AlpineNow.com

• Total practice days lost down 43%.
• Use of medicines down 70%.
• Player injuries dropped by 2/3.
• Milan Lab allows him to shed 40%
of his body fat in record time.

DATA SCIENTIST, WHO ARE YOU?
What my FRIENDS think I do
What I REALLY doWhat INVESTORS think I do
What SOCIETY thinks I doWhat my MOM thinks I do
What I think I do

12.14540
+ 0.00117 winter rainfall
+ 0.0614 average growing
season temperature
– 0.00386 harvest rainfall
Princeton economist Orley Ashenfleter predicts Bordeaux wine quality (and hence eventual price) using a model. Ashenfelter was right
and Parker wrong about the ‘86 vintage, and the way-out-on-a-limb predictions Ashenfelter made about the sublime quality of the
‘89 and ‘90 wines turned out to be spot on.

010101101bias100110101010101001010110
01010110010101101010100110bias0101010
010101100101bias010101001101010101010
010101100101011010101001101010101010
01010110010101101010100110bias0101010
01010110010101bias0101001101010101010
0101011001010110101010011bias10101010
0101011001bias11010101001101bias101010
01010110010101101010bias1101010101010
0101011001bias11010101001101bias101010

Mais conteúdo relacionado

Semelhante a Don't Gamble With Your Data

AWS Initiate Day Dublin 2019 – Big Data Meets AIAmazon Web Services

Building a Real-Time Data Platform on AWSInjae Kwak

Initiate Edinburgh 2019 - Big Data Meets AIAmazon Web Services

Big Data: Beyond the "Bigness" and the Technology (webcast)Apigee | Google Cloud

Big Data By Vijay Bhaskar SemwalIIIT Allahabad

Keeping Up with the ELK Stack: Elasticsearch, Kibana, Beats, and LogstashAmazon Web Services

Mining Information from Data on CloudAmazon Web Services

The Power of Big Data - Transformation Day Public Sector London 2017Amazon Web Services

Refactoring your EDW with Mobile Analytics ProductsLuke Han

Revolution R: 100% R and moreMasayoshi Ootsuka

AWS Initiate Berlin - Das Zeitalter von Big Data - So nutzen Sie Daten zum En...Amazon Web Services

Meetup 27/6/2018: AIOPS om de uitdagingen van een slimme stad te ondersteunenDigipolis Antwerpen

AWS Cloud Experience CA: Data Lakes & Analytics en AWSAmazon Web Services LATAM

Introduction to big dataSitaram Kotnis

Platforms, Cloud-Native Architectures, and APIs: Chicago Adapt or Die KeynoteApigee | Google Cloud

Video AI for Media and Entertainment IndustryAlbert Y. C. Chen

OVH Analytics Data Compute and Apache Spark as a ServiceMojtaba Imani

Addressing dm-cloudGenoveva Vargas-Solar

Big data and APIs for PHP developers - SXSW 2011Eli White

Streaming and Visual Data Discovery for the Internet of ThingsDatawatchCorporation

Semelhante a Don't Gamble With Your Data (20)

AWS Initiate Day Dublin 2019 – Big Data Meets AI

Building a Real-Time Data Platform on AWS

Initiate Edinburgh 2019 - Big Data Meets AI

Big Data: Beyond the "Bigness" and the Technology (webcast)

Big Data By Vijay Bhaskar Semwal

Keeping Up with the ELK Stack: Elasticsearch, Kibana, Beats, and Logstash

Mining Information from Data on Cloud

The Power of Big Data - Transformation Day Public Sector London 2017

Refactoring your EDW with Mobile Analytics Products

Revolution R: 100% R and more

AWS Initiate Berlin - Das Zeitalter von Big Data - So nutzen Sie Daten zum En...

Meetup 27/6/2018: AIOPS om de uitdagingen van een slimme stad te ondersteunen

AWS Cloud Experience CA: Data Lakes & Analytics en AWS

Introduction to big data

Platforms, Cloud-Native Architectures, and APIs: Chicago Adapt or Die Keynote

Video AI for Media and Entertainment Industry

OVH Analytics Data Compute and Apache Spark as a Service

Addressing dm-cloud

Big data and APIs for PHP developers - SXSW 2011

Streaming and Visual Data Discovery for the Internet of Things

Mais de alpinedatalabs

Integrating R and the JVM Platform - Alpine Data Labs' R Execute Operatoralpinedatalabs

Alpine innovation final v1.0alpinedatalabs

Predictive analytics from a to zalpinedatalabs

Alpine Spark Implementation - Technicalalpinedatalabs

Steven Hillion Presents, "Why Women are Better Data Scientists."alpinedatalabs

Strata Big Data Camp 2013alpinedatalabs

Mais de alpinedatalabs (6)

Integrating R and the JVM Platform - Alpine Data Labs' R Execute Operator

Alpine innovation final v1.0

Predictive analytics from a to z

Alpine Spark Implementation - Technical

Steven Hillion Presents, "Why Women are Better Data Scientists."

Strata Big Data Camp 2013

Último

Cyberprint. Dark Pink Apt Group [EN].pdfOverkill Security

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous

Corporate and higher education May webinar.pptxRustici Software

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10

Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays

How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney

Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea

Spring Boot vs Quarkus the ultimate battle - DevoxxUKJago de Vreede

TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra

Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Zilliz

Ransomware_Q4_2023. The report. [EN].pdfOverkill Security

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93

CNIC Information System with Pakdata Cf In Pakistandanishmna97

AXA XL - Insurer Innovation Award Americas 2024The Digital Insurer

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays

Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya

Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub

Don't Gamble With Your Data

1. DON’T GAMBLE WITH YOUR DATA AlpineNow.com Bruno Aziza CMO bruno@alpinenow.com

2. AlpineNow.comAlpineNow.com The Alpine Difference World’s 1st Collaborative, Code-Free Solution for Advanced Analytics on Big Data  Cutting-Edge Algorithms  End-to-End Analytics Processing  In-Cluster™: No Data Movement  Visual, Collaborative  Lightweight, Big Impact

8. Relational Data VELOCITY VARIETY VOLUME AlpineNow.com

9. JSON AlpineNow.com

10. AlpineNow.com VELOCITY VOLUME VARIETY VALUE VIRALITY VEHEMSITY VALIDITY VASTICITY VELVESITY VANITY

11. AlpineNow.com

12.

13.

14.

15. 8 Proprietary Data Enhancements Algorithms (PageRank for People) 13 Social Networks Processed Every Day 120 Terabytes of Data Storage 200,000 Indexed Users Added Every Day 100,000,000 Users Indexed Every Day 1,000,000,000 Social Signals Processed Every Day 10,000,000,000 API Calls Delivered Every Month 54,000,000,000 Rows of Data In Klout Data Warehouse AlpineNow.com

16. AlpineNow.com

17. AlpineNow.com

18. 1. Transfers from Real to AC Milan for 15 million euros. 2. Injures his knee just three minutes into his first treadmill session. 3. Does NOT play for 2.5 years of his 3 year contract (16 games). 4. Retires. FERNANDO REDONDO AlpineNow.com

19. “We can predict with a 70% accuracy whether the player is going to get hurt or not”, says 63-year-old Belgian chiropractor Jean-Pierre Meersseman… . AlpineNow.com

20. • Total practice days lost down 43%. • Use of medicines down 70%. • Player injuries dropped by 2/3. • Milan Lab allows him to shed 40% of his body fat in record time.

28. DATA SCIENTIST, WHO ARE YOU? What my FRIENDS think I do What I REALLY doWhat INVESTORS think I do What SOCIETY thinks I doWhat my MOM thinks I do What I think I do

29. 12.14540 + 0.00117 winter rainfall + 0.0614 average growing season temperature – 0.00386 harvest rainfall Princeton economist Orley Ashenfleter predicts Bordeaux wine quality (and hence eventual price) using a model. Ashenfelter was right and Parker wrong about the ‘86 vintage, and the way-out-on-a-limb predictions Ashenfelter made about the sublime quality of the ‘89 and ‘90 wines turned out to be spot on.

30.

31. AlpineNow.com

32. AlpineNow.com

33.

34.

35. 010101101bias100110101010101001010110 01010110010101101010100110bias0101010 010101100101bias010101001101010101010 010101100101011010101001101010101010 01010110010101101010100110bias0101010 01010110010101bias0101001101010101010 0101011001010110101010011bias10101010 0101011001bias11010101001101bias101010 01010110010101101010bias1101010101010 0101011001bias11010101001101bias101010

36. AlpineNow.com

37.

38.

39. AlpineNow.com

40. AlpineNow.com

41. GO TO START.ALPINENOW.COM AlpineNow.com