Sun.Dec 18, 2022

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Managing Hadoop BI SLAs with Alerts & Automated Actions

Acceldata

Learn tips for using in-flight alerts and automated actions to manage Hadoop BI SLAs.

BI 52
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Revisit The Fundamental Principles Of Working With Data To Avoid Getting Caught In The Hype Cycle

Data Engineering Podcast

Summary The data ecosystem has seen a constant flurry of activity for the past several years, and it shows no signs of slowing down. With all of the products, techniques, and buzzwords being discussed it can be easy to be overcome by the hype. In this episode Juan Sequeda and Tim Gasper from data.world share their views on the core principles that you can use to ground your work and avoid getting caught in the hype cycles.

Data Lake 100
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Data Engineering Weekly #112

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today. McKinsey: The state of AI in 2022—and a half decade in review McKinsey publishes the state of AI in 2022 with the last five years’ review.

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Making Sense Of The Technical And Organizational Considerations Of Data Contracts

Data Engineering Podcast

Summary One of the reasons that data work is so challenging is because no single person or team owns the entire process. This introduces friction in the process of collecting, processing, and using data. In order to reduce the potential for broken pipelines some teams have started to adopt the idea of data contracts. In this episode Abe Gong brings his experiences with the Great Expectations project and community to discuss the technical and organizational considerations involved in implementing

Metadata 130
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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.