Netflix enablingacultureofanalytics-150528161427-lva1-app6891
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This document discusses how Netflix has established a culture of analytics. It outlines Netflix's cultural values like high performance and freedom/responsibility that support analytics. It also describes Netflix's team structure with vertical alignment across functions and specialization within roles. Finally, it notes how Netflix has improved data accessibility through tools like Metacat, their Big Data API, and Big Data Portal to enable analytics.
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Speaker: Diego Gomez, Vice President of Human Capital Management Transformation, Oracle
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As organizations modernize their data and analytics platforms, the data lake concept has gained momentum as a shared enterprise resource for supporting insights across multiple lines of business. The perception is that data lakes are vast, slow-moving bodies of data, but innovations like Apache Kafka for streaming-first architectures put real-time data flows at the forefront. Combining real-time alerts and fast-moving data with rich historical analysis lets you respond quickly to changing business conditions with powerful data lake analytics to make smarter decisions.
Join this complimentary webinar with industry experts from 451 Research and Arcadia Data who will discuss:
- Business requirements for combining real-time streaming and ad hoc visual analytics.
- Innovations in real-time analytics using tools like Confluent’s KSQL.
- Machine-assisted visualization to guide business analysts to faster insights.
- Elevating user concurrency and analytic performance on data lakes.
- Applications in cybersecurity, regulatory compliance, and predictive maintenance on manufacturing equipment all benefit from streaming visualizations.
Architecting for Big Data: Trends, Tips, and Deployment Options
Joe Caserta, President at Caserta Concepts addressed the challenges of Business Intelligence in the Big Data world at the Third Annual Great Lakes BI Summit in Detroit, MI on Thursday, March 26. His talk "Architecting for Big Data: Trends, Tips and Deployment Options," focused on how to supplement your data warehousing and business intelligence environments with big data technologies.
For more information on this presentation or the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/.
KDD 2019 IADSS Workshop - Research Updates from Usama Fayyad & Hamit Hamutcu
The document discusses the need for standards in defining data science roles and skills. It notes there is currently wide variation in how data science roles are defined by different companies and academic programs. This leads to inefficiencies in recruitment and skills assessment. The Initiative for Analytics and Data Science Standards (IADSS) aims to address this by defining standard roles, skills, and career paths for data science professionals based on research involving industry experts and academics. The goal is to support the growth of the analytics industry by providing clarity around data science qualifications and expectations.
Self-Service Analytics Framework - Connected Brains 2018
LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...
Watch full webinar here: https://bit.ly/3mfFJqb
Presented at Chief Data Officer Live Series 2021, ASEAN (August Edition)
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best-of-breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform, and provide real-time data integration while delivering a self-service data platform to business users.
Watch this on-demand session to learn how big data fabric enabled by Data Virtualization:
- Provides lightning fast self-service data access to business users
- Centralizes data security, governance, and data privacy
- Fulfills the promise of data lakes to provide actionable insights
Big Data Analytics with Microsoft
Slides from a recent Big Data Warehousing Meetup titled, Big Data Analytics with Microsoft.
See Power Pivot/ Power Query/ Power View/ Power Maps and Azure Machine Learning be used to analyze Big Data.
One challenge of dealing with Big Data project is to acquire both structured and instructed information in order to find the right correlation. During the event, we explained all the steps to build your model and enhance your existing data through Microsoft's Power BI.
We had an in-depth discussion about the innovations built into the latest stack of Microsoft Business Intelligence, and practical tips from Technology Specialist’s from Microsoft.
The session also featured demos to help you see the technology as an end-to-end solution.
For more information, visit www.casertaconcepts.com
Enabling a Culture of Self-Service Analytics
As enterprises strive to create a more data-driven culture, they want to put more data in the hands of more users across the organization. However, not all enterprise data is easy to access and understand, and most decision-makers lack the expertise to evaluate the quality of the data they’re using to know if it’s fit for purpose.
To enable a culture of self-service analytics companies must get all of their data into one place where it can be accessed – like an enterprise data marketplace – and ensure its quality so it can be trusted by the data consumers.
View this webinar on-demand to hear from Matt Aslett, Research VP, Data, AI and Analytics, 451 Research and Jennifer Cheplick, Senior Director, Syncsort about how a combination of technology and cultural change can enable enterprises to provide a foundation of data integration and data quality that arms your organization’s data consumers with the functionality to enable self-service analytics.
You're the New CDO, Now What?
Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role.
In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer.
For more information, visit http://casertaconcepts.com/
Moving Targets: Harnessing Real-time Value from Data in Motion
The Briefing Room with David Loshin and Datawatch
Live Webcast Feb. 17, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=4a053043c45cf0c2f6453dfb8577c72a
Patience may be a virtue, but when it comes to streaming analytics, waiting is no option. Between Big Data and the Internet of Things, businesses are faced with more data and greater complexity than ever before. Traditional information architectures simply cannot support the kind of processing necessary to make use of this fast-moving resource. The modern context requires a shorter path to analytics, one that narrows the gap between governance and discovery
Register for this episode of The Briefing Room to hear veteran Analyst David Loshin as he explains how the prevalence of streaming data is changing business pace and processes. He’ll be briefed by Dan Potter of Datawatch, who will tout his company’s real-time data discovery platform for data in motion. He will show how self-service data preparation can lead to faster insights, ultimately fostering the ability to make precise decisions at the right time.
Visit InsideAnalysis.com for more information.
SAP Forum Ankara 2017 - "Verinin Merkezine Seyahat"
The document discusses digital transformation and the journey to data-driven insights. It provides an overview of data types and how data has grown exponentially over time. Both structured and unstructured data are discussed, with examples of semi-structured data like emails and reports. The value of understanding all data sources is emphasized for gaining competitive advantages through analytics. New technologies like complex event processing are enabling lightning-fast action based on diverse data. Finally, the presentation introduces SAP HANA Vora for bridging the divide between enterprise and big data systems to facilitate precision decision making.
Data Analytics & Engineering Staffing Solutions | NLB Services
We provide top-notch digital solutions with data analytics & data engineering staffing services. We help firms unlock growth prospects. Know more us at https://nlbservices.com/data-analytics-and-engineering/
Big data for Telco: opportunity or threat?
Big data is an opportunity for communications service providers (CSPs) to create the intelligence for operating their infrastructures more efficiently, to analyze the success of their services, and to create a better personal experience for their customers.
CSP Top executives, Network and IT managers and Marketing, are eager to exploit the large amount of information to achieve better business decisions. They expect their Chief Technical Officer to provide end-to-end analytic solutions based on the data available in their IT and network infrastructure.
This presentation analyzes the complete value chain that can transform CSPs’ data to knowledge. It covers the sources of information, the data collection tools, the analytic platforms providing quick data access, and finally the business intelligence use cases with the presentation and visualization of the results and predictions.
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Architecting for Big Data: Trends, Tips, and Deployment Options
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Self-Service Analytics Framework - Connected Brains 2018
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Moving Targets: Harnessing Real-time Value from Data in Motion
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SAP Forum Ankara 2017 - "Verinin Merkezine Seyahat"
Data Analytics & Engineering Staffing Solutions | NLB Services
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More from Dennis Li
Resume04 20-15-150608202319-lva1-app6892
Dennis Li has worked as a software engineer at Slideshare since 2014 where he spearheaded initiatives to rebuild monetization products and improve site speed. He also worked as a software consultant for Inside the Goodlife in 2014 where he increased the scalability of their local coupon business. In 2013, Li was a lead reporting research intern at Adobe where he created a data visualization platform to improve transparency between customer behavior and business impact. His side projects include Hatched, a think tank for startup ideas, and Gains, a weight lifting tracker app. He has a Bachelor of Arts in Computer Science from UC Berkeley.
Netflix enablingacultureofanalytics-150528161427-lva1-app6891
This document discusses how Netflix has established a culture of analytics. It outlines Netflix's cultural values like high performance and freedom/responsibility that support analytics. It also describes Netflix's team structure with vertical alignment across functions like engineering and content, and specializations within teams. The document notes how Netflix's technology has evolved from separate processes for analyzing and reporting data, to integrated tools. It highlights data accessibility systems Netflix uses like Metacat, their Big Data API, and Big Data Portal.
Resume[04 20-15]
Dennis Li has worked as a software engineer at Slideshare since 2014 where he spearheaded initiatives to rebuild monetization products and improve site speed. He also worked as a software consultant for Inside the Goodlife in 2014 where he increased scalability and developed a mobile coupon prototype. Additionally, Li worked as a lead reporting intern at Adobe Systems in 2013 where he created a data visualization platform. His side projects include Hatched, a think tank for startup ideas, and Gains, a weight lifting tracker app. He has a Bachelor's degree in Computer Science from UC Berkeley.
(502852377) resume[12 25-14]
Dennis Li has worked as a software engineer at Slideshare since 2014 where he spearheaded initiatives to rebuild monetization products and improve site speed. He also worked as a software consultant for Inside the Goodlife in 2014 where he increased scalability and developed a mobile coupon prototype. Additionally, Li worked as a lead reporting intern at Adobe Systems in 2013 where he created a data visualization platform. His side projects include Hatched, a think tank for startup ideas, and Gains, a weight lifting tracker app. He has a Bachelor's degree in Computer Science from UC Berkeley.
(502852377) resume[12 25-14]
Dennis Li has worked as a software engineer at Slideshare since 2014 where he spearheaded initiatives to rebuild monetization products and improve site speed. He also worked as a software consultant for Inside the Goodlife in 2014 where he increased scalability and developed a mobile coupon prototype. Additionally, Li worked as a lead reporting intern at Adobe Systems in 2013 where he created a data visualization platform. His side projects include Hatched, a think tank for startup ideas, and Gains, a weight lifting tracker app. He has a Bachelor's degree in Computer Science from UC Berkeley.
(502852377) resume[12 25-14]
Dennis Li has worked as a software engineer at Slideshare, a LinkedIn company, where he spearheaded initiatives to rebuild monetization products and improve site speed. He also worked as a software consultant for Inside the Goodlife, increasing their scalability. Additionally, he was a lead reporting intern at Adobe Systems, creating a data visualization platform. His side projects include Hatched, a think tank for startup ideas, and Gains, a weight lifting tracker. He has a Bachelor's degree in Computer Science from UC Berkeley and skills in Ruby on Rails, MeteorJS, Java, Python, and JavaScript.
Games
This document outlines a 3-step model for motivating users of games and other digital products: 1) Establish aspirations and use social proof to show users what they can achieve, 2) Set milestones along the journey that seem achievable, and 3) Provide frequent small victories to keep users engaged in achieving their goals step-by-step. Examples discussed include classic games like Monkey Island that motivate players to become pirates, and mobile games and apps like Kim Kardashian: Hollywood and Codecademy that use social features, progress tracking, and regular feedback to keep users motivated in their aspirations.
Resume
Dennis Li has experience as a software engineer and consultant. He worked at Slideshare where he improved site speed by 25% and led growth of their iOS mobile app. As a consultant, he increased scalability for a local coupon business. At Adobe, he created a data visualization platform to improve transparency between customer behavior and business impact. He also created side projects including a think tank app and a weight lifting tracker. He has a Bachelor's degree from UC Berkeley in Computer Science.
hello
Haiku Deck is a presentation tool that allows users to create Haiku style slideshows. The tool encourages users to get started making their own Haiku Deck presentations which can be shared on SlideShare. In just a few sentences, it pitches the idea of using Haiku Deck to easily create visually engaging slideshows.
More from Dennis Li (9)
Netflix enablingacultureofanalytics-150528161427-lva1-app6891
Netflix enablingacultureofanalytics-150528161427-lva1-app6891
Netflix enablingacultureofanalytics-150528161427-lva1-app6891
- 1. Enabling a Culture of Analytics Blake Irvine Manager, Data Science & Engineering
- 2. Quick Intro Who is this BI guy? What does a Culture of Analytics bring?
- 3. Netflix is Reinventing Television “The Secret Sauce Behind Netflix's Hit, "House Of Cards": Big Data” -- Fast Company “Giving Viewers What They Want” --New York Times “The Science Behind the Netflix Algorithms That Decide What You’ll Watch Next” --Wired Data-Mining Boosts Netflix's Subscriber Base, Showbiz Clout --AdAge
- 5. Foundations Cultural values Team structure Technology changes Data accessibility
- 6. Cultural values High Performance Freedom & Responsibility Context Highly Aligned, Loosely Coupled
- 7. Team Structure Vertical alignment Specializations, not pigeonholes
- 8. Team Structure - Vertical Engineering Analytics Reporting Modeling Reed Hastings Finance David Wells Content Ted Sarandos Marketing Kelly Bennett Product Neil Hunt Business Development Bill Holmes DSE Content DSE Finance DSE Marketing DSE Streaming DSE Partner Analytics
- 9. Team Structure - Specialization Analytics Reporting Modeling Engineering Analyst Engineer Viz Engineer
- 10. Technology Changes What are our BI tools, and why?
- 11. Technology - Past Process Analyze Report
- 12. Technology - Present Process Analyze Report
- 13. Technology - Future Process Analyze Report
- 14. Data Accessibility Metacat Big Data API Big Data Portal
- 15. Data Accessibility - Metacat
- 16. Data Accessibility - Big Data API
- 17. Data Accessibility - Big Data Portal
- 18. Making it Happen Cultural bias, team structure, innovative tools, and accessibility Training Talent
- 19. Questions / Future Blake Irvine birvine@netflix.com https://www.linkedin.com/in/blakeirvine Netflix culture: http://goo.gl/Vmq93c