Sun.Apr 02, 2023

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Mapping The Data Infrastructure Landscape As A Venture Capitalist

Data Engineering Podcast

Summary The data ecosystem has been building momentum for several years now. As a venture capital investor Matt Turck has been trying to keep track of the main trends and has compiled his findings into the MAD (ML, AI, and Data) landscape reports each year. In this episode he shares his experiences building those reports and the perspective he has gained from the exercise.

Hadoop 130
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Pandas-Profiling Now Supports Apache Spark

databricks

Data profiling is the process of collecting statistics and summaries of data to assess its quality and other characteristics. It is an essential.

Process 82
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Data Engineering Weekly #125

Data Engineering Weekly

Contribute to the Rudderstack Transformations Library, Win $1000 RudderStack Transformations lets you customize event data in real-time with your own JavaScript or Python code. Now you can win $1,000 cash by contributing a Transformation to our open-source library. [link] Conference Alert: Shape the future of real-time analytics The Real-Time Analytic Summit is on April 25-26 in downtown San Francisco, CA.

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The 6 Types Of Technical Debt - Part II

Mutt Data

Check out the first post in this series where we explore what technical debt is, whether it’s always a bad thing, and strategies to manage it and the second part of this series where we explain four types of technical debt: Decision Debt, Developer Efficiency Debt, Maintenance Debt, and Stability Debt and give real-life examples of issues and solutions for each type.

Project 40
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.