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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. These systems are built on open standards and offer immense analytical and transactional processing flexibility. These formats are transforming how organizations manage large datasets.

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4 Ways Better Access to Healthcare Data Can Improve Patient Outcomes

Snowflake

From improving patient outcomes to increasing clinical efficiencies, better access to data is helping healthcare organizations deliver better patient care. Here are four ways improved access to data can help healthcare organizations provide patients with better care: 1. These alarming trends have healthcare administrators on red alert.

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The Recommendation System at Lyft

Lyft Engineering

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. Introduction: Scope of the Recommendation System The recommendation system covers user experiences throughout the ride journey.

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Power BI System Requirements Specification of 2023

Knowledge Hut

Below are the Power BI requirements for the system. Supported operating system: Power BI program can be installed in a device with the following operations systems. Windows Server 2019 Data Centre, server 2019 standard, server 2016 standard, server 2016 datacenter. Comma-separated values (.csv)

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Introducing the 2019 Data Heroes – EMEA!

Cloudera

A Data Scientist : Organizations who show how they improved analytics, delivered new actionable intelligence, or designed systems for distributed deep learning and artificial intelligence to the organization’s business and customers. Stay tuned for March 19, 2019 as the winners are unveiled at the Luminaries dinner in Barcelona.

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The Roots of Today's Modern Backend Engineering Practices

The Pragmatic Engineer

If you had a continuous deployment system up and running around 2010, you were ahead of the pack: but today it’s considered strange if your team would not have this for things like web applications.  We dabbled in network engineering, database management, and system administration. and hand-rolled C -code.

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Going from Developer to CEO: Chronosphere

The Pragmatic Engineer

I wrote code for drivers on Windows, and started to put a basic observability system in place. EC2 had no observability system back then: people would spin up EC2 instances but have no idea whether or not they worked. With my team, we built the basics of what is now called AWS Systems Manager. I decided to look around.