Artwork

Content provided by Justus Eapen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Justus Eapen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Jesse Anderson: Mr. Big Data on Data Engineering, Creativity, and Nontraditional education.

1:43:11
 
Share
 

Manage episode 174662286 series 1404343
Content provided by Justus Eapen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Justus Eapen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

If you’ve ever heard the words “Big Data” and wondered what exactly that means, this is the episode for you.

Jesse Anderson is the person Fortune 100’s go to when they realize they are ill-equipped to handle the challenges of big data. He is a totally self-taught genius who is currently defining a new field of computer science call Data Engineering.

His insights into the future of information technology and data were fascinating to explore. We also discuss his approach to learning and parenting and teaching creativity.

Here are the notes from my talk with Jesse Anderson:

[2.00] Why we are motivated better by negative feedback than positive feedback Fear of loss is a great motivator

[5.00] Jesse’s general thesis of creativity - it is a muscle that needs to be exercised

[8.30] At its core, entrepreneurship is ideas but it doesn’t have to be creating something “new” Ideate around an existing solution to a problem and create a better product within an existing category

[10.40] Jesse discusses self education and philosophy on learning Discerning between “education for fun” and “education for profit” College does not teach you how to learn You must understand what motivates you to learn and “learn how to learn” Considerable gap between the real world and academia (e.g. Agile isn’t taught at university even though it is a commonly adopted business practice)

[18.30] Jesse stresses creativity in his children’s education from a very early age. Creativity, problem solving and interpersonal skills will take you further than rote learning Differentiation between schooling and education: “I have never let my schooling interfere with my education” - Mark Twain

[22.00] Jesse teaches companies to deal with Big Data on the levels that companies like Google and Facebook do

[25.00] Big data opportunities begin with “can’t” conversations Remove technical barriers with big data

[27.00] Ask yourselves these questions as a startup. Do I currently have big data? Will I have big data? This is especially important because systems that handle small data problems most definitely won’t be able to handle big data problems (e.g. train wreck analogy) You need expertise to handle big data - you can’t just get a web developer to write big data code

[30.30] The dangers of hiding technical debt

[32.30] Where can someone learn the basics of big data? Jesse has online courses www.Jesse-anderson.com

[35.10] How should businesses use big data? Jesse encourages CXO’s should follow this framework: i. Ideate (figure out something you want to do) ii. Establish a business value on this outcome. If you could do this analytic you could make $x more by better understanding “Y”. iii. Make a decision based on ROI projection

If you can’t understand your customers because of the sheer scale of your data, you have a problem Storing data is cheap, the “value in the data is the perception of the value in the data” - e.g. the analytics required to better understand customers Develop a culture of data empowerment There is a substantial shift towards being able to leverage data in real time. If companies cannot access and make decisions to be able to execute in close to real time, they need to look into big data solutions.

[38.30] Discusses personal big data million monkeys project - http://www.jesse-anderson.com/2011/09/a-few-million-monkeys-randomly-recreate-shakespeare/

[43.00] Developing a company culture of data augmentation (is the company responsive enough to be able to leverage its data)

[44.30] Google cloud vs Amazon Web Services (AWS)

[48.30] Jesse discusses the biggest threats to his career as a big data expert Focus on thought leadership and stay at the “cutting edge” We need to move to a framework which doesn’t distinguish between small and big data - it will all be data There will always be a need for learning

[52.30] Jesse discusses how living in Nevada allows him to compete at a global level whilst living the life he wants to live.

[54.50] On future predictions in big data: There will be no distinction between small and big data Jesse actively sought out the solution to this prediction and is working to bring about this paradigm shift in the way we manage data “You have to be part of making your own reality and creating the future, otherwise you will probably fall behind”

[1.07.00] The importance of diversity in teams Jesse has a data minority scholarship for anyone who wants to pursue big data - http://www.jesse-anderson.com/2016/09/big-data-minority-scholarships

[1.11.30] Check out Jesse’s book on data engineering: http://www.smokinghand.com/books/data-engineering-teams-book/

[1.16.50] Important points on data engineering for SMEs/SMBs A data engineering team is a multi disciplinary team, not a data warehousing team.

[1.20.00] Why technologists should be given a substantial equity in company formation Technical problems don’t just manifest in technical debt they materialise all over the business. There is a compounding effect to these problems as they continue to not get addressed

[1.24.30] Discussion on the global talent pool in data engineering

[1.26.30] Projects Jesse would like to see actualised: Creativity themed workshops for engineers Contributing to open sourced projects such as Apache beam to form more mutually beneficial communities and innovation

[1.30.15] What questions would Jesse want to know from a B2B sales expert? What worked best with B2B sales? How do I get in front of the right people in the organisation? What is the best way to close sales? How do you choose the best price point (pricing models)?

[1.32.00] Jesse adds to Justus’ top tier list for interviewees: Larry Page and Sergey Brin, Co-Founders of Google Sundar Pichai, CEO Google

[1.35.00] We have to identify what a person’s selfish gain is in order to motivate them to do something [1.35.30] Jesse’s book recommendations (he suggests audiobooks): Anything from Will Durant - https://www.amazon.com/Will-Durant/e/B00N3MKTAI The Personal MBA: Master the Art of Business - https://www.amazon.com/Personal-MBA-Master-Art-Business/dp/1591845572 Vince Flynn Mitch Rapp series - https://www.goodreads.com/series/40589-mitch-rapp

[1.41.00] How you can contact Jesse For Jesse’s 8 week course on big data: www.Jesse-anderson.com For business enquiries: www.smokinghand.com

  continue reading

14 episodes

Artwork
iconShare
 
Manage episode 174662286 series 1404343
Content provided by Justus Eapen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Justus Eapen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

If you’ve ever heard the words “Big Data” and wondered what exactly that means, this is the episode for you.

Jesse Anderson is the person Fortune 100’s go to when they realize they are ill-equipped to handle the challenges of big data. He is a totally self-taught genius who is currently defining a new field of computer science call Data Engineering.

His insights into the future of information technology and data were fascinating to explore. We also discuss his approach to learning and parenting and teaching creativity.

Here are the notes from my talk with Jesse Anderson:

[2.00] Why we are motivated better by negative feedback than positive feedback Fear of loss is a great motivator

[5.00] Jesse’s general thesis of creativity - it is a muscle that needs to be exercised

[8.30] At its core, entrepreneurship is ideas but it doesn’t have to be creating something “new” Ideate around an existing solution to a problem and create a better product within an existing category

[10.40] Jesse discusses self education and philosophy on learning Discerning between “education for fun” and “education for profit” College does not teach you how to learn You must understand what motivates you to learn and “learn how to learn” Considerable gap between the real world and academia (e.g. Agile isn’t taught at university even though it is a commonly adopted business practice)

[18.30] Jesse stresses creativity in his children’s education from a very early age. Creativity, problem solving and interpersonal skills will take you further than rote learning Differentiation between schooling and education: “I have never let my schooling interfere with my education” - Mark Twain

[22.00] Jesse teaches companies to deal with Big Data on the levels that companies like Google and Facebook do

[25.00] Big data opportunities begin with “can’t” conversations Remove technical barriers with big data

[27.00] Ask yourselves these questions as a startup. Do I currently have big data? Will I have big data? This is especially important because systems that handle small data problems most definitely won’t be able to handle big data problems (e.g. train wreck analogy) You need expertise to handle big data - you can’t just get a web developer to write big data code

[30.30] The dangers of hiding technical debt

[32.30] Where can someone learn the basics of big data? Jesse has online courses www.Jesse-anderson.com

[35.10] How should businesses use big data? Jesse encourages CXO’s should follow this framework: i. Ideate (figure out something you want to do) ii. Establish a business value on this outcome. If you could do this analytic you could make $x more by better understanding “Y”. iii. Make a decision based on ROI projection

If you can’t understand your customers because of the sheer scale of your data, you have a problem Storing data is cheap, the “value in the data is the perception of the value in the data” - e.g. the analytics required to better understand customers Develop a culture of data empowerment There is a substantial shift towards being able to leverage data in real time. If companies cannot access and make decisions to be able to execute in close to real time, they need to look into big data solutions.

[38.30] Discusses personal big data million monkeys project - http://www.jesse-anderson.com/2011/09/a-few-million-monkeys-randomly-recreate-shakespeare/

[43.00] Developing a company culture of data augmentation (is the company responsive enough to be able to leverage its data)

[44.30] Google cloud vs Amazon Web Services (AWS)

[48.30] Jesse discusses the biggest threats to his career as a big data expert Focus on thought leadership and stay at the “cutting edge” We need to move to a framework which doesn’t distinguish between small and big data - it will all be data There will always be a need for learning

[52.30] Jesse discusses how living in Nevada allows him to compete at a global level whilst living the life he wants to live.

[54.50] On future predictions in big data: There will be no distinction between small and big data Jesse actively sought out the solution to this prediction and is working to bring about this paradigm shift in the way we manage data “You have to be part of making your own reality and creating the future, otherwise you will probably fall behind”

[1.07.00] The importance of diversity in teams Jesse has a data minority scholarship for anyone who wants to pursue big data - http://www.jesse-anderson.com/2016/09/big-data-minority-scholarships

[1.11.30] Check out Jesse’s book on data engineering: http://www.smokinghand.com/books/data-engineering-teams-book/

[1.16.50] Important points on data engineering for SMEs/SMBs A data engineering team is a multi disciplinary team, not a data warehousing team.

[1.20.00] Why technologists should be given a substantial equity in company formation Technical problems don’t just manifest in technical debt they materialise all over the business. There is a compounding effect to these problems as they continue to not get addressed

[1.24.30] Discussion on the global talent pool in data engineering

[1.26.30] Projects Jesse would like to see actualised: Creativity themed workshops for engineers Contributing to open sourced projects such as Apache beam to form more mutually beneficial communities and innovation

[1.30.15] What questions would Jesse want to know from a B2B sales expert? What worked best with B2B sales? How do I get in front of the right people in the organisation? What is the best way to close sales? How do you choose the best price point (pricing models)?

[1.32.00] Jesse adds to Justus’ top tier list for interviewees: Larry Page and Sergey Brin, Co-Founders of Google Sundar Pichai, CEO Google

[1.35.00] We have to identify what a person’s selfish gain is in order to motivate them to do something [1.35.30] Jesse’s book recommendations (he suggests audiobooks): Anything from Will Durant - https://www.amazon.com/Will-Durant/e/B00N3MKTAI The Personal MBA: Master the Art of Business - https://www.amazon.com/Personal-MBA-Master-Art-Business/dp/1591845572 Vince Flynn Mitch Rapp series - https://www.goodreads.com/series/40589-mitch-rapp

[1.41.00] How you can contact Jesse For Jesse’s 8 week course on big data: www.Jesse-anderson.com For business enquiries: www.smokinghand.com

  continue reading

14 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide