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A tartalmat a The Data Flowcast biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a The Data Flowcast vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Data Quality and Observability at Tekmetric with Ipsa Trivedi

22:49
 
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Manage episode 480012584 series 2948506
A tartalmat a The Data Flowcast biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a The Data Flowcast vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Airflow’s adaptability is driving Tekmetric’s ability to unify complex data workflows, deliver accurate insights and support both internal operations and customer-facing services — all within a rapidly growing startup environment.

In this episode, Ipsa Trivedi, Lead Data Engineer at Tekmetric, shares how her team is standardizing pipelines while supporting unique customer needs. She explains how Airflow enables end-to-end data services, simplifies orchestration across varied sources and supports scalable customization. Ipsa also highlights early wins with Airflow, its intuitive UI and the team's roadmap toward data quality, observability and a future self-serve data platform.

Key Takeaways:

(02:26) Powering auto shops nationwide with a unified platform.

(05:17) A new data team was formed to centralize and scale insights.

(07:23) Flexible, open source and made to fit — Airflow wins.

(10:42) Pipelines handle anything from email to AWS.

(12:15) Custom DAGs fit every team’s unique needs.

(17:01) Data quality checks are built into the plan.

(18:17) Self-serve data mesh is the end goal.

(19:59) Airflow now fits so well, there's nothing left on the wishlist.

Resources Mentioned:

Ipsa Trivedi

https://www.linkedin.com/in/ipsatrivedi/

Tekmetric | LinkedIn

https://www.linkedin.com/company/tekmetric/

Tekmetric | Website

https://www.tekmetric.com/

Apache Airflow

https://airflow.apache.org/

AWS RDS

https://aws.amazon.com/free/database/?trk=fc551e06-56b0-418c-9ddd-5c9dba18569b&sc_channel=ps&ef_id=CjwKCAjwzMi_BhACEiwAX4YZULS4jV2Xpnpcac_Q3eS9BAg-klKUDyCt6XSdOul8BLHkmWzFFh4NXRoCGhQQAvD_BwE:G:s&s_kwcid=AL!4422!3!548989592596!e!!g!!amazon%20sql%20database!11543056228!112002958549&gclid=CjwKCAjwzMi_BhACEiwAX4YZULS4jV2Xpnpcac_Q3eS9BAg-klKUDyCt6XSdOul8BLHkmWzFFh4NXRoCGhQQAvD_BwE

Astro by Astronomer

https://www.astronomer.io/product/

https://www.astronomer.io/events/roadshow/london/

https://www.astronomer.io/events/roadshow/new-york/

https://www.astronomer.io/events/roadshow/sydney/

https://www.astronomer.io/events/roadshow/san-francisco/

https://www.astronomer.io/events/roadshow/chicago/

Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.

#AI #Automation #Airflow #MachineLearning

  continue reading

69 epizódok

Artwork
iconMegosztás
 
Manage episode 480012584 series 2948506
A tartalmat a The Data Flowcast biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a The Data Flowcast vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Airflow’s adaptability is driving Tekmetric’s ability to unify complex data workflows, deliver accurate insights and support both internal operations and customer-facing services — all within a rapidly growing startup environment.

In this episode, Ipsa Trivedi, Lead Data Engineer at Tekmetric, shares how her team is standardizing pipelines while supporting unique customer needs. She explains how Airflow enables end-to-end data services, simplifies orchestration across varied sources and supports scalable customization. Ipsa also highlights early wins with Airflow, its intuitive UI and the team's roadmap toward data quality, observability and a future self-serve data platform.

Key Takeaways:

(02:26) Powering auto shops nationwide with a unified platform.

(05:17) A new data team was formed to centralize and scale insights.

(07:23) Flexible, open source and made to fit — Airflow wins.

(10:42) Pipelines handle anything from email to AWS.

(12:15) Custom DAGs fit every team’s unique needs.

(17:01) Data quality checks are built into the plan.

(18:17) Self-serve data mesh is the end goal.

(19:59) Airflow now fits so well, there's nothing left on the wishlist.

Resources Mentioned:

Ipsa Trivedi

https://www.linkedin.com/in/ipsatrivedi/

Tekmetric | LinkedIn

https://www.linkedin.com/company/tekmetric/

Tekmetric | Website

https://www.tekmetric.com/

Apache Airflow

https://airflow.apache.org/

AWS RDS

https://aws.amazon.com/free/database/?trk=fc551e06-56b0-418c-9ddd-5c9dba18569b&sc_channel=ps&ef_id=CjwKCAjwzMi_BhACEiwAX4YZULS4jV2Xpnpcac_Q3eS9BAg-klKUDyCt6XSdOul8BLHkmWzFFh4NXRoCGhQQAvD_BwE:G:s&s_kwcid=AL!4422!3!548989592596!e!!g!!amazon%20sql%20database!11543056228!112002958549&gclid=CjwKCAjwzMi_BhACEiwAX4YZULS4jV2Xpnpcac_Q3eS9BAg-klKUDyCt6XSdOul8BLHkmWzFFh4NXRoCGhQQAvD_BwE

Astro by Astronomer

https://www.astronomer.io/product/

https://www.astronomer.io/events/roadshow/london/

https://www.astronomer.io/events/roadshow/new-york/

https://www.astronomer.io/events/roadshow/sydney/

https://www.astronomer.io/events/roadshow/san-francisco/

https://www.astronomer.io/events/roadshow/chicago/

Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.

#AI #Automation #Airflow #MachineLearning

  continue reading

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