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Data Engineering Weekly #161

Data Engineering Weekly

There will be food, networking, and real-world talks around data engineering. Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you?

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Finding digital transformation in high places – how a ski resort improved operational agility and customer experiences

Cloudera

By employing a total digital experience from season ticket pass holder registration, to an on-mountain reservation system, to the food service and restaurant, and a location-based app that allows you to find your skiing party on the mountain, this area skied the equivalent double black diamond headwall run right into the digital age.

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Data Pipelines in the Healthcare Industry

DareData

One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes.

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Experts Share the 5 Pillars Transforming Data & AI in 2024

Monte Carlo

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Now, it’s going to be about leveling up to building the actual implementation of the unstructured data.” That implies working with new patterns like vector databases.” Those who don’t embrace it will be left behind.

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Top Companies for Full Stack Developer [2023]

Knowledge Hut

In other words, a Full Stack Developer is comfortable working with HTML, CSS, JavaScript, and PHP, as well as databases like MySQL. As a result, they can build websites and applications that are not only functional but also easy to use. They are a leading food delivery and restaurant discovery platform with operations in 24 countries.

Food 52
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How a Fortune500 CPG Leader Takes a Proactive Approach to Data Quality

Monte Carlo

Our focus, which is making food the world loves, involves making consumer-centric decisions and enabling our customers with all possible healthy options.” Four years ago, you had to buy or build your own data quality framework and you’d have to maintain it, and every component required a different process,” said Sanchit.

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How a Fortune100 CPG Leader Takes a Proactive Approach to Data Quality

Monte Carlo

Our focus, which is making food the world loves, involves making consumer-centric decisions and enabling our customers with all possible healthy options.” Four years ago, you had to buy or build your own data quality framework and you’d have to maintain it, and every component required a different process,” said Sanchit.