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เนื้อหาจัดทำโดย Aaron Phethean เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Aaron Phethean หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
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S1E3 - Building trusted analytics at Potloc with Stéphane Burwash

54:31
 
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เนื้อหาจัดทำโดย Aaron Phethean เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Aaron Phethean หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

In this episode of Data Matas, host Aaron Phethean and his guest Stéphane Burwash dive deep into what it takes to build a true data-driven culture. Recently promoted to Data Engineering Lead at Potloc, Stéphane shares his thoughts on building trusted analytics, where quality data is at the foundation. The conversation digs into the hot topics of AI and self-service analytics - and questioning their relevance - as well as the application of modern technologies such as Meltano and BigQuery and "the separation of church and state" in the data space. Not only that but the two touch on the importance of the people element and emphasise the need for open and honest stakeholder management in an organisations journey to data excellence.

Takeaways

  • Stéphane started his data engineering journey alone, relying on community support.
  • Building a community is crucial for learning and growth in data engineering.
  • Potloc evolved from a market insights company to a data-driven organization.
  • Navigating data engineering challenges requires asking questions and seeking help.
  • Stakeholder management is essential for successful data projects.
  • Technologies like Meltano and DBT are integral to Potloc's data stack.
  • AI is being leveraged to improve data quality and analytics processes.
  • Self-service analytics can empower users but requires careful governance.
  • Data quality issues often arise from a lack of awareness and communication.
  • The role of a data practitioner is to maintain a big picture perspective.

Sound Bites

  • "Ask questions, don't be afraid to learn."
  • "Everybody has been in that position."
  • "We shouldn't be trying to do the custom solution."

Chapters

00:00
Introduction and Background of Potloc

04:43
Role of a Data Engineer at Potluck

06:34
Data Sources and Technologies Used

09:58
Balancing Complexity and Impactful Work

15:30
Working with BI Analysts and Data Modeling

23:46
Focus on Data Quality and Maintenance

25:42
Challenges of Data Quality and Data Integrity

36:12
The Importance of Stakeholder Engagement

41:14
The Concept of Self-Serve Analytics

43:25
The Value of a Holistic Understanding of Data

47:14
The Role of Data Practitioners

48:15
Introduction

49:24
The Value of Online Communities and Asking Questions

50:22
Overcoming the Fear of Feeling Lost

50:48
The Generosity of the Data Community

52:10
Networking and Learning at Meetup Events

53:21
Building Connections and Getting Insights

  continue reading

10 ตอน

Artwork
iconแบ่งปัน
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on March 27, 2025 15:13 (12d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 440416438 series 3594170
เนื้อหาจัดทำโดย Aaron Phethean เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Aaron Phethean หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

In this episode of Data Matas, host Aaron Phethean and his guest Stéphane Burwash dive deep into what it takes to build a true data-driven culture. Recently promoted to Data Engineering Lead at Potloc, Stéphane shares his thoughts on building trusted analytics, where quality data is at the foundation. The conversation digs into the hot topics of AI and self-service analytics - and questioning their relevance - as well as the application of modern technologies such as Meltano and BigQuery and "the separation of church and state" in the data space. Not only that but the two touch on the importance of the people element and emphasise the need for open and honest stakeholder management in an organisations journey to data excellence.

Takeaways

  • Stéphane started his data engineering journey alone, relying on community support.
  • Building a community is crucial for learning and growth in data engineering.
  • Potloc evolved from a market insights company to a data-driven organization.
  • Navigating data engineering challenges requires asking questions and seeking help.
  • Stakeholder management is essential for successful data projects.
  • Technologies like Meltano and DBT are integral to Potloc's data stack.
  • AI is being leveraged to improve data quality and analytics processes.
  • Self-service analytics can empower users but requires careful governance.
  • Data quality issues often arise from a lack of awareness and communication.
  • The role of a data practitioner is to maintain a big picture perspective.

Sound Bites

  • "Ask questions, don't be afraid to learn."
  • "Everybody has been in that position."
  • "We shouldn't be trying to do the custom solution."

Chapters

00:00
Introduction and Background of Potloc

04:43
Role of a Data Engineer at Potluck

06:34
Data Sources and Technologies Used

09:58
Balancing Complexity and Impactful Work

15:30
Working with BI Analysts and Data Modeling

23:46
Focus on Data Quality and Maintenance

25:42
Challenges of Data Quality and Data Integrity

36:12
The Importance of Stakeholder Engagement

41:14
The Concept of Self-Serve Analytics

43:25
The Value of a Holistic Understanding of Data

47:14
The Role of Data Practitioners

48:15
Introduction

49:24
The Value of Online Communities and Asking Questions

50:22
Overcoming the Fear of Feeling Lost

50:48
The Generosity of the Data Community

52:10
Networking and Learning at Meetup Events

53:21
Building Connections and Getting Insights

  continue reading

10 ตอน

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