In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder. In this episode you will learn:<ul>
<li>What is data observability? [4:35]</li>
<li>•How to identify data quality issues? [8:56]</li>
<li>Kevin's PhD research on automating data science systems using machine learning [16:18]</li>
<li>Why Kevin launched Metaplane [28:50]</li>
<li>The pros and cons of an academic career relative to the start-up hustle [31:57]</li>
<li>Kevin's experience in Y-Combinator accelerator [39:50]</li>
<li>The software tools he uses daily as a CEO [50:54]</li>
<li>What Kevin looks for in data engineer hires [56:13]</li>
</ul> Additional materials: <a href="https://www.superdatascience.com/541">www.superdatascience.com/541</a>

In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder. In this episode you will learn: What is data observability? [4:35] •How to identify data quality issues? [8:56] Kevin's PhD research on automating data science systems using machine learning [16:18] Why Kevin launched Metaplane [28:50] The pros and cons of an academic career relative to the start-up hustle [31:57] Kevin's experience in Y-Combinator accelerator [39:50] The software tools he uses daily as a CEO [50:54] What Kevin looks for in data engineer hires [56:13] Additional materials: www.superdatascience.com/541

In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder. In this episode you will learn:<ul>
<li>What is data observability? [4:35]</li>
<li>•How to identify data quality issues? [8:56]</li>
<li>Kevin's PhD research on automating data science systems using machine learning [16:18]</li>
<li>Why Kevin launched Metaplane [28:50]</li>
<li>The pros and cons of an academic career relative to the start-up hustle [31:57]</li>
<li>Kevin's experience in Y-Combinator accelerator [39:50]</li>
<li>The software tools he uses daily as a CEO [50:54]</li>
<li>What Kevin looks for in data engineer hires [56:13]</li>
</ul> Additional materials: <a href="https://www.superdatascience.com/541" rel="noopener noreferrer">www.superdatascience.com/541</a>

541: Data Observability — with Dr. Kevin Hu

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Science

Technology

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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541: Data Observability — with Dr. Kevin Hu

541: Data Observability — with Dr. Kevin Hu

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