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Microsoft Azure vs. Google Cloud Platform

Analytics Vidhya

Introduction Microsoft Azure and Google Cloud Platform are the two top cloud computing giants. With a 23% market share […] The post Microsoft Azure vs. Google Cloud Platform appeared first on Analytics Vidhya.

Azure 271
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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

Familiarity with data preprocessing, feature engineering, and model evaluation techniques is crucial. Additionally, knowledge of cloud platforms (AWS, Google Cloud) and experience with deployment tools (Docker, Kubernetes) are highly valuable.

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Discovering the Role of Data Science in a Cloud World

Pickl AI

Each platform offers unique capabilities tailored to varying needs, making the platform a critical decision for any Data Science project. Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings.

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Azure Data Engineer Jobs

Pickl AI

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

Azure 52
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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Text analytics is crucial for sentiment analysis, content categorization, and identifying emerging trends. Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data.

Analytics 203
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Your Cloud Computing Roadmap to a Cloud Engineer Career

Pickl AI

Core skills include networking, security, virtualisation, and proficiency in cloud platforms like AWS, Azure, and GCP. Certifications like AWS Solutions Architect and Azure Solutions Architect boost job prospects. AWS EC2, Azure Virtual Machines). Google App Engine, AWS Lambda).