# Shinji Kim
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Top podcast episodes featuring shinji kim.
Context-Aware SQL and Metadata with Shinji Kim
A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks.
…
The Future of Data Catalogs --Shinji Kim, Snowflake/SelectStar
Shinji Kim, founder of SelectStar (acquired by Snowflake), joins me to talk about the deal, and why in a few years we may stop calling these things "data catalogs" at all as the category evolves into a living AI context layer.
Context-Aware SQL and Metadata with Shinji Kim
A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks.
…
Context-Aware SQL and Metadata with Shinji Kim
A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks.
…
Context-Aware SQL and Metadata with Shinji Kim
A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks.
…
Context-Aware SQL and Metadata with Shinji Kim
A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks.
…
Context-Aware SQL and Metadata with Shinji Kim
A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks.
…
Context-Aware SQL and Metadata with Shinji Kim
A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks.
…
Context-Aware SQL and Metadata with Shinji Kim
A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks.
…
Context-Aware SQL and Metadata with Shinji Kim
A common challenge in data-rich organizations is that critical context about the data is often hard to capture and even harder to keep up to date. As more people across the organization use data and data models get more complex, simply finding the right dataset can be slow and create bottlenecks.
…
SEARCH ENGINE NG PODCAST
Maaari mong gamitin ang aming website upang maghanap ng mga3,828,660na mga podcast at196,481,181na mga episode ayon sa mga tao, lugar, o paksa.
I have no special talent. I am only passionately curious, and
I listen to podcasts.
‐ Albert "Llamacorn" Einstein
I-EDIT
Salamat sa pagtulong na mapanatiling naka-update ang database ng podcast.
