How To Fullstack | with Valerie Junk

https://is1-ssl.mzstatic.com/image/thumb/Podcasts211/v4/8a/ce/9f/8ace9fea-756d-a324-5a19-42ccadda4903/mza_7490225612984983432.jpg/600x600bb.jpg

Daten-WG

15 episodes

1 week ago

Die Community kommt auch nach dem Event zusammen! Auf diesem Kanal findet ihr den Daten-WG Community Podcast sowie nützliche Tutorials und interessante Live-Streams. Als Spin-Off des legendären AI or DIE Kanals stehen wir für tiefe Einblicke in die Microsoft Data Plattform Welt und einen intensiven Austausch in der Community.

Technology

RSS

All content for Daten-WG is the property of Daten-WG and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Technology

https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/44037281/44037281-1752246646366-247f1e6162c1f.jpg

How To Fullstack | with Valerie Junk

Daten-WG

31 minutes 44 seconds

5 months ago

How To Fullstack | with Valerie Junk

In the first-ever English episode of Daten-WG podcast, Artur König talks with Power BI expert Valerie Junk about her journey from backend engineering to frontend data visualization — and why communication, trust, and real user focus are the true keys to successful data projects.

There is a lot of Fabric in this talk too.

00:00 Welcome and meeting Valerie

03:00 Valerie's journey: From backend to frontend

06:00 Why good data models still fail without the right visualization

09:00 Trust issues: Why people still export to Excel

12:00 Communication challenges between data teams and business users

15:00 Career surprises: From developer dream to consulting reality

18:00 Power BI, Fabric and why platforms matter for collaboration

21:00 Helping clients adopt Fabric step by step

The Key Learnings:

- Communication is the backbone of successful BI projects: Building a solid data infrastructure is important, but without clear dialogue between data teams and business users, even the best models remain unused.

- Trust in data products doesn't come automatically: Users need transparency and visibility into how data is processed to fully embrace dashboards and analytics tools.

- Modern platforms like Microsoft Fabric offer big opportunities — if introduced carefully: Technology alone doesn’t solve problems; guiding users step-by-step is critical for adoption.

- Data visualization is ultimately an act of empathy: The best dashboards don't just look good — they are designed with real end users and their daily challenges in mind.