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Making Email Better With AI At Shortwave

Data Engineering Podcast

Can you describe what Shortwave is and the story behind it? What is the core problem that you are addressing with Shortwave? What is the core problem that you are addressing with Shortwave? What are the overall themes that continue to be problematic? What are the strengths that email maintains as a protocol and ecosystem?

Data Lake 182
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An educational side project

The Pragmatic Engineer

See the full app here What grabbed my attention was how this app is much more than just a simulation. 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of four topics in today’s subscriber-only The Scoop issue. To get the full issues, twice a week, subscribe here.

Education 363
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Designing A Non-Relational Database Engine

Data Engineering Podcast

Learn more about Datafold by visiting dataengineeringpodcast.com/datafold. Can you describe what constitutes a NoSQL database? What are the factors that convince teams to use a NoSQL vs. SQL database? Summary Databases come in a variety of formats for different use cases. How does the underlying representation (e.g.

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Version Your Data Lakehouse Like Your Software With Nessie

Data Engineering Podcast

The primary purpose of the catalog is to inform the query engine of what data exists and where, but the Nessie project aims to go beyond that simple utility. Can you describe what Nessie is and the story behind it? What are the core problems/complexities that Nessie is designed to solve?

Data Lake 147
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Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

Data Council attendees are amazing founders, data scientists, lead engineers, CTOs, heads of data, investors and community organizers who are all working together to build the future of data and sharing their insights and learnings through deeply technical talks. What were the design goals and constraints that led you to this architecture?

Database 162
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Reduce Friction In Your Business Analytics Through Entity Centric Data Modeling

Data Engineering Podcast

Summary For business analytics the way that you model the data in your warehouse has a lasting impact on what types of questions can be answered quickly and easily. Can you describe what entity-centric modeling (ECM) is and the story behind it? What is the impact on the underlying compute engine on the modeling strategies used?

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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

Machine Learning is a sub-branch of Artificial Intelligence, used for the analysis of data. It learns from the data that is input and predicts the output from the data rather than being explicitly programmed. Machine Learning is among the fastest evolving trends in the I T industry.