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Welcome to my blog! This is a place where I share my thoughts and experiences on DevOps and the AWS platform. I hope that you find the information here useful and that you enjoy reading!

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Here are some common Devops Interview Questions and answers to help you prepare.

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The goal of data science is to extract meaning from data and to enable decision-makers to make better decisions.

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Machine learning and data science are two closely related fields. Both involve the study of data and the development of algorithms to extract meaning from that data.

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AWS releases Wickr, its encrypted messaging service for enterprises
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Introducing the game-changer in hybrid cloud management: Azure Arc! 🚀✨ Azure Arc extends the capabilities of Microsoft Azure to on-premises, multi-cloud environments, and edge locations. Seamlessly manage, govern, and deploy resources across a diverse infrastructure. It's the next level of flexibility and control in the hybrid cloud era. Embrace the future with Azure Arc!

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Dive into the world of data with our comprehensive Snowflake Tutorial! ❄️ Unlock the power of Snowflake, a cloud-based data platform. From basics to advanced features, our tutorial guides you through seamless data management. Elevate your skills and explore the possibilities! 🚀
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🚀☁️Apache Spark seamlessly integrates with cloud giants AWS, GCP, and Azure, enabling distributed computing for large-scale data processing. With native support, it ensures efficient and scalable analytics on these platforms, providing organizations with flexibility and cost-effectiveness for their big data projects. 🌐💻
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🚀 Unlock the full potential of Azure with these Top 6 Tools! 🌟 Enhance your cloud projects with essential tools like Azure Storage Explorer 🗄️, Azure Grid 🌐, Docker 🐳, Azure Cosmos DB 🌌, and more. Perfect for IT professionals and developers aiming for seamless cloud integration and optimization. 💻✨
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