Mastering Big Data Efficiency
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Mastering Big Data
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Mastering Efficient Software Design Practices
Author: Paulo Cardoso
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2025-04-29
TAGLINE Build Secure, Scalable, and Efficient Software with Modern Best Practices. KEY FEATURES ● Master Agile, DevOps, CI/CD, and scalable software architectures ● Ensure code quality, security, and high-performance computing ● Apply real-world best practices with hands-on case studies DESCRIPTION In today’s fast-paced digital era, efficient software design is the key to building secure, scalable, and high-performing applications. Mastering Efficient Software Design Practices serves as a comprehensive guide for developers, engineers, and architects seeking to enhance their technical expertise and streamline software development workflows. This book covers essential principles, from foundational coding methodologies and version control with Git to Agile, DevOps, and Test-Driven Development (TDD). Readers will learn how to implement Continuous Integration and Continuous Delivery (CI/CD), improve code quality, enforce security best practices, and optimize performance. Real-world examples, case studies, and best practices ensure that theoretical concepts translate into practical skills. By the end of this book, readers will have a solid grasp of modern software development methodologies and the confidence to build robust, maintainable, and future-proof software solutions. Whether you're an aspiring developer or an experienced engineer, this book equips you with the tools and insights needed to thrive in today’s evolving tech landscape. Stay ahead of the curve—master these essential practices before you get left behind! WHAT WILL YOU LEARN ● Apply Agile, DevOps, and CI/CD to streamline software development. ● Design secure, scalable, and maintainable software architectures. ● Use Git, Docker, and Kubernetes for seamless team collaboration. ● Write high-quality, testable code with automated testing strategies. ● Optimize software performance and ensure scalability under load. ● Leverage user-centered design and analytics for better UX decisions. WHO IS THIS BOOK FOR? This book is tailored for software developers, engineers, and technical leads looking to enhance their design and development skills. It is also valuable for students, aspiring developers, QA professionals, freelancers, and entrepreneurs with a basic understanding of programming who want to build scalable, secure, and maintainable software. TABLE OF CONTENTS 1. Foundations of Modern Software Development 2. Preparing the Ground work (Development Foundations) 3. Collaborative Development through Version Control 4. Coding Principles for the Modern Developer 5. The Art of Code Testing and TDD 6. Continuous Integration and Delivery (CI/CD) for Seamless Development 7. Mastering Modularity and Documentation 8. Ensuring Code Quality and Maintainability 9. Security Practices, Error Handling, and Logging 10. High-Performance Computing and Scalable Systems 11. The Culture of Code Review and Collaborative Coding 12. Aligning Software Design with User Needs Index
Mastering Big Data Engineering: AWS, GCP, & Azure Showdown
Author: Muthuraman Saminathan
language: en
Publisher: Libertatem Media Private Limited
Release Date: 2024-02-16
In the rapidly evolving field of AI, operationalizing large language models (LLMs) has become a defining challenge. The LLMOps Advantage: Navigating the Future of AI is your comprehensive guide to mastering the deployment, monitoring, and scaling of LLMs in real-world applications. This book bridges the gap between model development and production, introducing readers to the specialized domain of LLMOps—a subset of MLOps tailored to the unique demands of large language models. From building scalable pipelines and optimizing inference workflows to ensuring compliance and security, this guide covers every aspect of operationalizing LLMs. Explore deployment strategies across platforms like AWS, Azure, GCP, and Hugging Face, learn about containerization and serverless architectures, and dive into tools for monitoring and observability such as Prometheus and Grafana. Through practical frameworks and case studies, the book provides actionable insights into managing performance metrics, addressing model drift, and leveraging distributed systems for scalability. Designed for data scientists, LLM engineers, and AI practitioners, The LLMOps Advantage also delves into ethical considerations, emerging trends like multi-modal models, and best practices for integrating LLMs with existing workflows. Whether you ' re fine-tuning models for specific tasks or scaling solutions to meet enterprise needs, this book equips you with the expertise to harness the full potential of LLMs. Stay ahead in the AI revolution with The LLMOps Advantage—your essential roadmap to mastering the future of large language model operations.