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The benefits of modern data architecture

InData Labs

Big data is central to the efficient running of all modern organizations, but to be of use, raw data must be suitably organized. Запись The benefits of modern data architecture впервые появилась InData Labs.

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Data Engineering Weekly #169

Data Engineering Weekly

Intuit: The Data Mesh Strategy Behind Intuit’s Global Financial Technology Platform The Data Product Builder platform is becoming increasingly important in enterprise data engineering. It offers more targeted and customized data asset building than the general-purpose data stack.

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How Marriott Modernized Their Data Architecture with Snowflake

Snowflake

More than 50% of data leaders recently surveyed by BCG said the complexity of their data architecture is a significant pain point in their enterprise. As a result,” says BCG, “many companies find themselves at a tipping point, at risk of drowning in a deluge of data, overburdened with complexity and costs.”

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Data Engineering: A Formula 1-inspired Guide for Beginners

Towards Data Science

A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. I bet you are, this article is for you!

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Understand & Deliver on Your Data Engineering Task

Start Data Engineering

Understanding your data engineering task 2.1. Data infrastructure overview 2.2. Delivering your data engineering task 3.1. You are given a quick overview of the business and data architecture and are assigned your very first data engineering task. Introduction 2. What exactly 2.3.

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Exploring Data Mesh: A Paradigm Shift in Data Architecture

KDnuggets

Let’s explore Data Mesh, a modern approach to data architecture that decentralizes data ownership and management.

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Data Modeling – The Unsung Hero of Data Engineering: An Introduction to Data Modeling (Part 1)

Simon Späti

Amidst the excitement and hype surrounding artificial intelligence, the significance of data engineering and its critical foundation—data modeling—can often be overlooked.