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محتوای ارائه شده توسط Demetrios. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Demetrios یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Deep in the heart of data // Carl Steinbach // MLOps Coffee Sessions #22

55:42
 
اشتراک گذاری
 

Manage episode 313294485 series 3241972
محتوای ارائه شده توسط Demetrios. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Demetrios یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Coffee Sessions #22 with Carl Steinbach of LinkedIn, Deep in the Heart of Data.

Join the Community: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTJoinIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Get the newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTNewsletter⁠⁠⁠⁠⁠⁠

//Bio
Carl is a Senior Staff Software Engineer and currently the Tech Lead for LinkedIn's Grid Development Team. He is a contributor to Emerging Architectures for Modern Data Infrastructure

//Other links referenced by Carl:
https://rise.cs.berkeley.edu/wp-content/uploads/2017/03/CIDR17.pdf
https://www.youtube.com/watch?v=-xIai_FvcSk&ab_channel=WePayEngineering
https://softwareengineeringdaily.com/2019/10/23/linkedin-data-platform-with-carl-steinbach/
https://www.slideshare.net/linkedin/carl-steinbach-open-source
https://dreamsongs.com/RiseOfWorseIsBetter.html
https://engineering.linkedin.com/blog/2017/03/a-checkup-with-dr--elephant--one-year-later
https://engineering.linkedin.com/
https://engineering.linkedin.com/blog/2018/11/using-translatable-portable-UDFs
https://a16z.com/2020/10/15/the-emerging-architectures-for-modern-data-infrastructure/

--------------- ✌️Connect With Us ✌️ -------------
Join our Slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/
Connect with Carl on LinkedIn: https://www.linkedin.com/in/carlsteinbach/

Timestamps:
[00:00] Introduction to Carl Steinbach
[00:44] Carl's background
[04:51] Breakdown of Transpiler
[10:55] Advantages of Decoupling the Execution Layer
[15:25] Differences between UDF (user-defined function) Functions and Views
[18:45] How do you ensure the reproducibility of these Views?
[23:58] Data structure evolution
[27:55] Are Data Lakes and Data Warehouse fundamentally different things, or are they on a path towards conversion?
[33:37] It's inevitable that people will start doing machine learning on databases
[36:01] Who gets permission on what, especially when it comes to data and how sensitive things can be?
[41:27] Security aspect of data
[43:40] Does it require a level of obstruction on top of the data of the file system?
[45:48] Why do we go back and go forward, which sets this trend?

  continue reading

481 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 313294485 series 3241972
محتوای ارائه شده توسط Demetrios. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Demetrios یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Coffee Sessions #22 with Carl Steinbach of LinkedIn, Deep in the Heart of Data.

Join the Community: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTJoinIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Get the newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTNewsletter⁠⁠⁠⁠⁠⁠

//Bio
Carl is a Senior Staff Software Engineer and currently the Tech Lead for LinkedIn's Grid Development Team. He is a contributor to Emerging Architectures for Modern Data Infrastructure

//Other links referenced by Carl:
https://rise.cs.berkeley.edu/wp-content/uploads/2017/03/CIDR17.pdf
https://www.youtube.com/watch?v=-xIai_FvcSk&ab_channel=WePayEngineering
https://softwareengineeringdaily.com/2019/10/23/linkedin-data-platform-with-carl-steinbach/
https://www.slideshare.net/linkedin/carl-steinbach-open-source
https://dreamsongs.com/RiseOfWorseIsBetter.html
https://engineering.linkedin.com/blog/2017/03/a-checkup-with-dr--elephant--one-year-later
https://engineering.linkedin.com/
https://engineering.linkedin.com/blog/2018/11/using-translatable-portable-UDFs
https://a16z.com/2020/10/15/the-emerging-architectures-for-modern-data-infrastructure/

--------------- ✌️Connect With Us ✌️ -------------
Join our Slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/
Connect with Carl on LinkedIn: https://www.linkedin.com/in/carlsteinbach/

Timestamps:
[00:00] Introduction to Carl Steinbach
[00:44] Carl's background
[04:51] Breakdown of Transpiler
[10:55] Advantages of Decoupling the Execution Layer
[15:25] Differences between UDF (user-defined function) Functions and Views
[18:45] How do you ensure the reproducibility of these Views?
[23:58] Data structure evolution
[27:55] Are Data Lakes and Data Warehouse fundamentally different things, or are they on a path towards conversion?
[33:37] It's inevitable that people will start doing machine learning on databases
[36:01] Who gets permission on what, especially when it comes to data and how sensitive things can be?
[41:27] Security aspect of data
[43:40] Does it require a level of obstruction on top of the data of the file system?
[45:48] Why do we go back and go forward, which sets this trend?

  continue reading

481 قسمت

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