Category: Data Engineer
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Bringing scalable real-time analytics to the enterprise
The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data. In this episode of the Data Show, I spoke with Dhruba Borthakur (co-founder and CTO) and…
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Becoming a machine learning company means investing in foundational technologies
Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the…
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Why companies are in need of data lineage solutions
The O’Reilly Data Show Podcast: Neelesh Salian on data lineage, data governance, and evolving data platforms. In this episode of the Data Show, I spoke with Neelesh Salian, software engineer at Stitch Fix, a company that…
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What data scientists and data engineers can do with current generation serverless technologies
The O’Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future. In this episode of the Data Show, I spoke with Avner Braverman, co-founder and…
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7 data trends on our radar
[A version of this post appears on the O’Reilly Radar.] From infrastructure to tools to training, here’s what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch…
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In the age of AI, fundamental value resides in data
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Haoyuan Li on accelerating analytic workloads, and innovation in data and AI in China. In this episode of the Data Show, I…
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Simplifying machine learning lifecycle management
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production. In this episode of the Data Show, I spoke with Harish…
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Data collection and data markets in the age of privacy and machine learning
While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools focused on data. In this post I share slides and notes from a keynote I…
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Data regulations and privacy discussions are still in the early stages
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Aurélie Pols on GDPR, ethics, and ePrivacy. In this episode of the Data Show, I spoke with Aurélie Pols of Mind…
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The evolution of data science, data engineering, and AI
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: A special episode to mark the 100th episode. This episode of the Data Showmarks our 100th episode. This podcast stemmed out…