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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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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.

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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.

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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

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Data Modeling - The Unsung Hero of Data Engineering: Architecture Pattern, Tools and the Future (Part 3)

Simon Späti

Welcome to the third and final installment of our series “Data Modeling: The Unsung Hero of Data Engineering.” In this third part, we’ll delve into data architecture patterns and their influence on data modeling.

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Data Modeling - The Unsung Hero of Data Engineering: Architecture Pattern, Tools and the Future (Part 3)

Simon Späti

Welcome to the third and final installment of our series “Data Modeling: The Unsung Hero of Data Engineering.” In this third part, we’ll delve into data architecture patterns and their influence on data modeling.

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They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. It’s the big blueprint we data engineers follow in order to transform raw data into valuable insights.