Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
continue reading
Treść dostarczona przez The Data Bros and The Firebolt Data Bros. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez The Data Bros and The Firebolt Data Bros lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
Player FM - aplikacja do podcastów
Przejdź do trybu offline z Player FM !
Przejdź do trybu offline z Player FM !
AI and Data Change Management with Chad Sanderson, CEO Gable AI
MP3•Źródło odcinka
Manage episode 460420875 series 3418247
Treść dostarczona przez The Data Bros and The Firebolt Data Bros. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez The Data Bros and The Firebolt Data Bros lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
In this episode of The Data Engineering Show, host Benjamin and co-host Eldad sit with Chad Sanderson, CEO and co-founder of Gable AI to explore the interesting world of data change management.
Join them as they:
- Delve into challenges of data quality, how it degrades over time and the one-sided data quality checks on the “last mile” of the data supply chain.
- Talk about how Gable works through a 3-layer flow of technology which is to identify data production points, trace the data flow and communicate the impact of changes before they reach production.
- Explain why the gap between data producers and consumers need to be bridged and how Gable continues to emphasize the need for effective communication and understanding data change management across teams
- Shine light on how AI can enhance data management by extracting semantics from code and effectively manage the translation output.
- Discuss Chad’s vision for 2025 which is to help companies start to care about data and how the changes made to data affect other people.
Chad Sanderson is the CEO and co-founder of Gable AI, a data change management platform. Chad has over a decade of experience in data engineering and infrastructure space, holding significant roles at major companies like Microsoft, Oracle, Sephora where he focused on data quality and governance challenges. He is a former Head of Data at Convoy, a LinkedIn writer, and a published author. He lives in Seattle, Washington, and is the Chief Operator of the Data Quality Camp. His journey from data scientist to data engineer and ultimately to CEO was driven by a desire to transform how organizations manage and utilize data. Gable AI addresses the complexities of the data supply chain, by providing tools for code scanning, data contracts and governance as code, enabling teams to proactively manage data changes and impact.
If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube.
Episode Resources
The Data Engineering Show is handcrafted by our friends over at: fame.so
Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen.
Check out our three most downloaded episodes:
Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen.
Check out our three most downloaded episodes:
54 odcinków
MP3•Źródło odcinka
Manage episode 460420875 series 3418247
Treść dostarczona przez The Data Bros and The Firebolt Data Bros. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez The Data Bros and The Firebolt Data Bros lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
In this episode of The Data Engineering Show, host Benjamin and co-host Eldad sit with Chad Sanderson, CEO and co-founder of Gable AI to explore the interesting world of data change management.
Join them as they:
- Delve into challenges of data quality, how it degrades over time and the one-sided data quality checks on the “last mile” of the data supply chain.
- Talk about how Gable works through a 3-layer flow of technology which is to identify data production points, trace the data flow and communicate the impact of changes before they reach production.
- Explain why the gap between data producers and consumers need to be bridged and how Gable continues to emphasize the need for effective communication and understanding data change management across teams
- Shine light on how AI can enhance data management by extracting semantics from code and effectively manage the translation output.
- Discuss Chad’s vision for 2025 which is to help companies start to care about data and how the changes made to data affect other people.
Chad Sanderson is the CEO and co-founder of Gable AI, a data change management platform. Chad has over a decade of experience in data engineering and infrastructure space, holding significant roles at major companies like Microsoft, Oracle, Sephora where he focused on data quality and governance challenges. He is a former Head of Data at Convoy, a LinkedIn writer, and a published author. He lives in Seattle, Washington, and is the Chief Operator of the Data Quality Camp. His journey from data scientist to data engineer and ultimately to CEO was driven by a desire to transform how organizations manage and utilize data. Gable AI addresses the complexities of the data supply chain, by providing tools for code scanning, data contracts and governance as code, enabling teams to proactively manage data changes and impact.
If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube.
Episode Resources
The Data Engineering Show is handcrafted by our friends over at: fame.so
Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen.
Check out our three most downloaded episodes:
Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen.
Check out our three most downloaded episodes:
54 odcinków
Wszystkie odcinki
×Zapraszamy w Player FM
Odtwarzacz FM skanuje sieć w poszukiwaniu wysokiej jakości podcastów, abyś mógł się nią cieszyć już teraz. To najlepsza aplikacja do podcastów, działająca na Androidzie, iPhonie i Internecie. Zarejestruj się, aby zsynchronizować subskrypcje na różnych urządzeniach.