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Sep 12, 2022 · 21m · mad

Automated Data Discovery | Select Star's Shinji Kim

Shinji Kim · 17m spoken Matt Turck · 40s spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

Shinji Kim, Founder and CEO of Select Star, presents her automated data discovery platform at Data Driven NYC, demonstrating how it eliminates data bottlenecks across modern organizations. Through product walkthroughs and Q&A, she illustrates how automated lineage, metadata parsing, and usage analytics empower both technical and non-technical teams to search, document, and govern their data.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 3.3% of the talking time here. How this is scored →

Matt as informed peer 0.5 Guest teaching 3.0 Guest disagreement 0.3 Matt pushing back 0.3
05100:0010:0020:000:09–3:17 · Matt as informed peer 0/10 Speaker Background & Career Trajectory Shinji Kim gives an uninterrupted monologue covering her career history, founding Concord Systems, and its acquisition by Akamai. Because the host does not participate in this segment, host-side scores are zero.3:17–8:01 · Matt as informed peer 0/10 The Data Discovery Problem in Scaling Organizations Shinji outlines market trends in modern data stack decentralization and the emerging need for automated data discovery. The host remains silent throughout the segment.8:01–13:59 · Matt as informed peer 0/10 Live Product Walkthrough & Data Lineage Demo Shinji presents a live software demo showcasing SelectStar features such as column-level lineage and popularity ranking. The segment is entirely guest presentation with zero host intervention.13:59–21:08 · Matt as informed peer 2/10 Automated ER Diagrams & Customer Success Matt Turck introduces Q&A, asking standard background questions on company metrics and market consolidation trends. Shinji politely corrects the framing around 'data cataloging' versus full data discovery.0:09–3:17 · Guest teaching 2/10 Speaker Background & Career Trajectory Shinji Kim gives an uninterrupted monologue covering her career history, founding Concord Systems, and its acquisition by Akamai. Because the host does not participate in this segment, host-side scores are zero.3:17–8:01 · Guest teaching 3/10 The Data Discovery Problem in Scaling Organizations Shinji outlines market trends in modern data stack decentralization and the emerging need for automated data discovery. The host remains silent throughout the segment.8:01–13:59 · Guest teaching 3/10 Live Product Walkthrough & Data Lineage Demo Shinji presents a live software demo showcasing SelectStar features such as column-level lineage and popularity ranking. The segment is entirely guest presentation with zero host intervention.13:59–21:08 · Guest teaching 4/10 Automated ER Diagrams & Customer Success Matt Turck introduces Q&A, asking standard background questions on company metrics and market consolidation trends. Shinji politely corrects the framing around 'data cataloging' versus full data discovery.0:09–3:17 · Guest disagreement 0/10 Speaker Background & Career Trajectory Shinji Kim gives an uninterrupted monologue covering her career history, founding Concord Systems, and its acquisition by Akamai. Because the host does not participate in this segment, host-side scores are zero.3:17–8:01 · Guest disagreement 0/10 The Data Discovery Problem in Scaling Organizations Shinji outlines market trends in modern data stack decentralization and the emerging need for automated data discovery. The host remains silent throughout the segment.8:01–13:59 · Guest disagreement 0/10 Live Product Walkthrough & Data Lineage Demo Shinji presents a live software demo showcasing SelectStar features such as column-level lineage and popularity ranking. The segment is entirely guest presentation with zero host intervention.13:59–21:08 · Guest disagreement 1/10 Automated ER Diagrams & Customer Success Matt Turck introduces Q&A, asking standard background questions on company metrics and market consolidation trends. Shinji politely corrects the framing around 'data cataloging' versus full data discovery.0:09–3:17 · Matt pushing back 0/10 Speaker Background & Career Trajectory Shinji Kim gives an uninterrupted monologue covering her career history, founding Concord Systems, and its acquisition by Akamai. Because the host does not participate in this segment, host-side scores are zero.3:17–8:01 · Matt pushing back 0/10 The Data Discovery Problem in Scaling Organizations Shinji outlines market trends in modern data stack decentralization and the emerging need for automated data discovery. The host remains silent throughout the segment.8:01–13:59 · Matt pushing back 0/10 Live Product Walkthrough & Data Lineage Demo Shinji presents a live software demo showcasing SelectStar features such as column-level lineage and popularity ranking. The segment is entirely guest presentation with zero host intervention.13:59–21:08 · Matt pushing back 1/10 Automated ER Diagrams & Customer Success Matt Turck introduces Q&A, asking standard background questions on company metrics and market consolidation trends. Shinji politely corrects the framing around 'data cataloging' versus full data discovery.

speaking balance: gold is Matt, purple is the guest (3 minute bins)

0:00 · Matt 0% · guest 100%0:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%15:00 · Matt 10.5% · guest 89.5%15:00 · Matt 10.5% · guest 89.5%18:00 · Matt 11.2% · guest 88.8%18:00 · Matt 11.2% · guest 88.8%21:00 · Matt 72.9% · guest 27.1%21:00 · Matt 72.9% · guest 27.1%
Sharpest disagreement ▶ 19:09 Deconstructing the 'Data Catalog' Frame

Shinji gently rejects the host's premise regarding data catalogs, calling the term overused and clarifying that simple cataloging is just schema and search rather than complete context.

 Hardest push from Matt ▶ 18:49 Inquiring on Industry Consolidation

Matt Turck asks whether enterprise vendors will consolidate into single all-in-one platforms or remain split among specialized point solutions.

 Biggest teaching moment ▶ 19:09 Clarifying Schema Catalogs vs Data Discovery

Shinji educates the host on how modern data observability tools differ from true data discovery platforms that map operational lineage and user context.

 Matt holds his own ▶ 18:49 Highlighting Platform Dynamics

Matt Turck displays ecosystem awareness by probing how cataloging, governance, and discovery tools interact across enterprise markets.
the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
Speaker Background & Career Trajectory 0200 Shinji Kim gives an uninterrupted monologue covering her career history, founding Concord Systems, and its acquisition by Akamai. Because the host does not participate in this segment, host-side scores are zero.
The Data Discovery Problem in Scaling Organizations 0300 Shinji outlines market trends in modern data stack decentralization and the emerging need for automated data discovery. The host remains silent throughout the segment.
Live Product Walkthrough & Data Lineage Demo 0300 Shinji presents a live software demo showcasing SelectStar features such as column-level lineage and popularity ranking. The segment is entirely guest presentation with zero host intervention.
Automated ER Diagrams & Customer Success 2411 Matt Turck introduces Q&A, asking standard background questions on company metrics and market consolidation trends. Shinji politely corrects the framing around 'data cataloging' versus full data discovery.

Statements from this episode (6)

Prediction Not checkable as stated
Kim: Cloud providers enable an unstoppable corporate drive to collect more data
“And it became very clear to me that companies are not going to stop anytime soon with their desire to collect more data more often, and cloud providers are just allowing them to make that happen more quickly.”
Shinji Kim Sep 12, 2022 ▶ 1:00
Insight
Kim: Modern data trends make data discovery painful across entire companies
“So all these market trends combined makes what we call data discovery. Very painful, not just for the data team, but for everyone inside the company.”
Shinji Kim Sep 12, 2022 ▶ 3:06
Assertion Not checkable as stated
Kim: Engineers waste massive time searching SQL queries to trace table lineage
“A lot of technical users and data analysts and engineers also ending up spending a lot of time just searching through different SQL queries and trying to find, like, how this table was created, for example.”
Shinji Kim Sep 12, 2022 ▶ 4:06
Insight
Kim: Organizations rarely update data models and diagrams after initial creation
“One of the things that we noticed from observing our users is that they have data models and different diagrams that they've created when they first created the data model, but these things don't get updated.”
Shinji Kim Sep 12, 2022 ▶ 13:55
Assertion Not checkable as stated
Kim: Analysts and engineers make up 70% of Select Star's user base
“So today, majority of our user base, I would say about 65 to 70% are data analysts and data engineers.”
Shinji Kim Sep 12, 2022 ▶ 17:02
Opinion
Kim: 'Data catalog' is an overused buzzword for a basic tool feature
“I actually think data catalog is a very overused term and also a feature that's available for every modern data tools. Like every data quality or observability tools have a catalog. But catalog really is your schema like map plus search.”
Shinji Kim Sep 12, 2022 ▶ 19:10
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