Watching Pigs Fly with the Netflix Hadoop Toolkit

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DataWorks Summit

Frameworks and technologies in the Hadoop ecosystem are undergoing rapid innovation, but the open source tooling around usability has lagged behind. We will present a suite of tools, deployable on top of the Hadoop ecosystem, that enables even non-technical users to develop, tune, and maintain efficient Pig workflows and easily interact with and visualize datasets. Netflix?s big data teams have worked for the past year implementing this framework in the AWS cloud. During that time, we have seen a massive influx of data and a corresponding increase in new development on our platform. This toolset has been a critical enabler in minimizing development time and effort. Using the development of a recommendation algorithm as an example, we?ll walk through use cases for this stack of tools, showing how they interact to facilitate development. The presentation will include demos, implementation details, and our roadmap to open source various key services in the framework, including restful services that: provide comprehensive metadata management across data sources; enable visualization and caching of results of Hadoop jobs; visualize the execution plans produced by languages such as Pig and Hive; and provide detailed analytics on the currently executing workload and trends in historical performance.

Technologie Business

Watching Pigs Fly with the
Netflix Hadoop Toolkit
Hadoop Summit 2013
San Jose, CA

Data should be accessible, easy to discover, and
easy to process for everyone.
Our Motivation

Our Users
Analysts Engineers

Hadoop Platform as a Service

Hadoop Platform as a Service
S3

Hadoop Platform as a Service
Data Platform

Data Platform as a Service
Franklin
(Metadata API)
Sting
(Adhoc Visualization)
Forklift
(Data Movement)
Looper
(Backloading)
Ignite
(A/B Test Analytics)
Spock
(Data Auditing)
Genie
(Hadoop PaaS)
Lipstick
(Pig Workflow
Visualization)
Event Service
(Orchestration)
Hadoop
S3
Other Processing

Let’s solve a problem using the data!

Build a recommender.

But, what makes good recommendations?
Similarity
Personalization

COLORS!

COLORS!
Box art is colorful…

We’re Sorry
COLORS!
Box art is colorful…

Where can I find the data?

Hadoop Platform as a Service
S3

Hadoop Platform as a Service
S3Cassandra TeradataRedshiftRDS

Data Platform as a Service
Franklin
(Metadata API)
S3Cassandra TeradataRedshiftRDS

Data Platform as a Service
Franklin
(Metadata API)

Create a dataset for box art and color.

Whether your dataset is large or small, being
able to visualize it makes it easier to explain.

Data Platform as a Service
Franklin
(Metadata API)
Sting
(Adhoc Visualization)

Sting
• Allows users to cache the results of a genie job
in memory
• Sub second response to OLAP style operations
(slicing, dicing, aggregations).
• Adhoc / recurring schedule
• Easy to use!

Hive
Query
Schema

% Content Consumed / Hour

Hemlock
Grove
House of
Cards
Arrested
Development

Similarity

House of
Cards
Macbeth

Toddlers
& Tiaras
Star Trek:
Voyager

Personalization

# of subscribers X # of titles
= ???,000,…,000 (big data)
Big Data

Netflix Apache Pig

Data Platform as a Service
Franklin
(Metadata API)
Sting
(Adhoc Visualization)

Lipstick
• Allows users to visualize their data flow
• Allows users to see common errors
• Allows users to easily monitor their jobs
• Empowers users to support themselves
• Facilitates communication between
infrastructure team and users

Lipstick

Overall Job
Progress

Logical
Plan
Overall Job
Progress

Logical Operator
(reduce side)
Logical Operator
(map side)
Map/Reduce Job
Intermediate Row Count
Records
Loaded

Hadoop
Counters

My Job has stalled.
Common Problem #1

Unoptimized/Optimized
Logical Plan Toggle
Dangling
Operator

I didn’t get the data I was expecting
Common Problem #2

I don’t understand why my job failed.
Common Problem #3

Failed Job
(light red background)
Successful Job
(light blue background)

Wrapping up
• Demos at the Netflix booth in the exhibit hall
(see more Lipstick, Sting, and Genie).
• Lipstick is part of Netflix OSS.
• Clone it on github at
http://github.com/Netflix/Lipstick
• We welcome feedback and contributions!

 Charles Smith: charsmith@netflix.com
 Jeff Magnusson: jmagnusson@netflix.com
Thank you!
Jobs: http://jobs.netflix.com
Netflix OSS: http://netflix.github.io
Tech Blog: http://techblog.netflix.com/

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

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Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

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

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

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

Handwritten Text Recognition for manuscripts and early printed texts

Handwritten Text Recognition for manuscripts and early printed texts

Handwritten Text Recognition for manuscripts and early printed texts

Maria Levchenko

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

A Year of the Servo Reboot: Where Are We Now?

A Year of the Servo Reboot: Where Are We Now?

A Year of the Servo Reboot: Where Are We Now?

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

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This presentation explores the impact of HTML injection attacks on web applications, detailing how attackers exploit vulnerabilities to inject malicious code into web pages. Learn about the potential consequences of such attacks and discover effective mitigation strategies to protect your web applications from HTML injection vulnerabilities. for more information visit https://bostoninstituteofanalytics.org/category/cyber-security-ethical-hacking/

HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

Boston Institute of Analytics

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

Histor y of HAM Radio presentation slide

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GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

Finology Group – Insurtech Innovation Award 2024

Finology Group – Insurtech Innovation Award 2024

Finology Group – Insurtech Innovation Award 2024

The Digital Insurer

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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...

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Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

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

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

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

Handwritten Text Recognition for manuscripts and early printed texts

Handwritten Text Recognition for manuscripts and early printed texts

Handwritten Text Recognition for manuscripts and early printed texts

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

GenCyber Cyber Security Day Presentation

A Year of the Servo Reboot: Where Are We Now?

A Year of the Servo Reboot: Where Are We Now?

A Year of the Servo Reboot: Where Are We Now?

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

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HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

HTML Injection Attacks: Impact and Mitigation Strategies

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Histor y of HAM Radio presentation slide

Histor y of HAM Radio presentation slide

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GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

Finology Group – Insurtech Innovation Award 2024

Finology Group – Insurtech Innovation Award 2024

Finology Group – Insurtech Innovation Award 2024

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

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...

Watching Pigs Fly with the Netflix Hadoop Toolkit

1. Watching Pigs Fly with the Netflix Hadoop Toolkit Hadoop Summit 2013 San Jose, CA

2. Data should be accessible, easy to discover, and easy to process for everyone. Our Motivation

3. Our Users Analysts Engineers

4. Hadoop Platform as a Service

5. Hadoop Platform as a Service S3

6. Hadoop Platform as a Service Data Platform

7. Data Platform as a Service Franklin (Metadata API) Sting (Adhoc Visualization) Forklift (Data Movement) Looper (Backloading) Ignite (A/B Test Analytics) Spock (Data Auditing) Genie (Hadoop PaaS) Lipstick (Pig Workflow Visualization) Event Service (Orchestration) Hadoop S3 Other Processing

8. Let’s solve a problem using the data!

9. Build a recommender.

10. But, what makes good recommendations? Similarity Personalization

12. COLORS! Box art is colorful…

13. We’re Sorry COLORS! Box art is colorful…

14. Where can I find the data?

15. Hadoop Platform as a Service S3

16. Hadoop Platform as a Service S3Cassandra TeradataRedshiftRDS

17. Data Platform as a Service Franklin (Metadata API) S3Cassandra TeradataRedshiftRDS

18. Data Platform as a Service Franklin (Metadata API)

19. Create a dataset for box art and color.

20. Whether your dataset is large or small, being able to visualize it makes it easier to explain.

21. Data Platform as a Service Franklin (Metadata API) Sting (Adhoc Visualization)

22. Sting • Allows users to cache the results of a genie job in memory • Sub second response to OLAP style operations (slicing, dicing, aggregations). • Adhoc / recurring schedule • Easy to use!

23. Hive Query Schema

24. % Content Consumed / Hour

25. Hemlock Grove House of Cards Arrested Development

27.

28.

29. House of Cards Macbeth

30.

31.

32. Toddlers & Tiaras Star Trek: Voyager

33. Personalization

34. # of subscribers X # of titles = ???,000,…,000 (big data) Big Data

35. Netflix Apache Pig

36.

37. Data Platform as a Service Franklin (Metadata API) Sting (Adhoc Visualization)

38. Lipstick • Allows users to visualize their data flow • Allows users to see common errors • Allows users to easily monitor their jobs • Empowers users to support themselves • Facilitates communication between infrastructure team and users

40. Overall Job Progress

41. Logical Plan Overall Job Progress

42. Logical Operator (reduce side) Logical Operator (map side) Map/Reduce Job Intermediate Row Count Records Loaded

43. Hadoop Counters

44. My Job has stalled. Common Problem #1

45.

46. Unoptimized/Optimized Logical Plan Toggle Dangling Operator

47. I didn’t get the data I was expecting Common Problem #2

48.

49.

50. I don’t understand why my job failed. Common Problem #3

51. Failed Job (light red background) Successful Job (light blue background)

52.

53. Wrapping up • Demos at the Netflix booth in the exhibit hall (see more Lipstick, Sting, and Genie). • Lipstick is part of Netflix OSS. • Clone it on github at http://github.com/Netflix/Lipstick • We welcome feedback and contributions!

54.  Charles Smith: charsmith@netflix.com  Jeff Magnusson: jmagnusson@netflix.com Thank you! Jobs: http://jobs.netflix.com Netflix OSS: http://netflix.github.io Tech Blog: http://techblog.netflix.com/

Notes de l'éditeur

The scripts can be very complicated – compiling to many map/reduce steps and performing complex data transformations along the way.We’ve been happy with our choice of Pig in that it provides an abstraction to easily express complicated map/reduce logic along with some facilities for code reuse (udfs, macros). When workflows get sufficiently complicated however, Pig is almost so abstract that it becomes hard to follow the data flow logic and image how it will translate to map reduce.