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Why Is Data Modeling So Challenging – How To Data Model For Analytics

Seattle Data Guy

Learning about how to data models from basic star schemas on the internet is like learning data science using the IRIS data set. Data modeling in real life requires you fully understand the data sources and your business use cases.… It works great as a toy example. But it doesn’t match real life at all.

Data 246
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Top 20 Data Engineering Project Ideas [With Source Code]

Analytics Vidhya

Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning. Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise.

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An Overview Of The Sate Of Data Orchestration In An Increasingly Complex Data Ecosystem

Data Engineering Podcast

Summary Data systems are inherently complex and often require integration of multiple technologies. This offers a single location for managing visibility and error handling so that data platform engineers can manage complexity. With Materialize, you can!

Data 208
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Upgrade your Modern Data Stack

Christophe Blefari

Make your data stack take-off ( credits ) Hello, another edition of Data News. This week, we're going to take a step back and look at the current state of data platforms. What are the current trends and why are people fighting around the concept of the modern data stack. Is the modern data stack dying?

Data 147
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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? Our Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies.

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Data Engineering for Streaming Data on GCP

Analytics Vidhya

Introduction Companies can access a large pool of data in the modern business environment, and using this data in real-time may produce insightful results that can spur corporate success. Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers.

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Data Engineer vs Data Scientist: Which Career to Choose?

Analytics Vidhya

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer! appeared first on Analytics Vidhya.