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Data Engineering Weekly #173

Data Engineering Weekly

[link] Sponsored: From 90-sec queries to sub-second with DoubleCloud Learn how LSports, a top provider of real-time sports data, improved its data analytics using DoubleCloud’s Managed ClickHouse. seconds, enhancing real-time sports data analytics efficiency!

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What is Data Analytics? How to Use it in Your Career?

Analytics Vidhya

With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries? appeared first on Analytics Vidhya.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

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Ultimate Collection of 50 Free Courses for Mastering Data Science

KDnuggets

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

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Reframing “Data Engineering vs Data Science”

Silectis

In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll also delineate a third category: data analysis. We’ll explore how both data engineering and data science should be marshaled to make better decisions.

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Spatial Data Science: Elements, Use Cases, Applications

Knowledge Hut

In the world of data science, Spatial data science is at the heart of contributing to solving planet-threatening problems such as deciding the location of solar park installation, building urban resilience, predicting crop yield, population density analysis for immunization or disease mapping, and more.

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. You can execute this by learning data science with python and working on real projects.