Data Engineering For Cloud Applications Leveraging Full Stack Skills For Scalable Solutions
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Data Engineering for Cloud Applications: Leveraging Full-Stack Skills for Scalable Solutions
Author: AKASH BALAJI MALI PROF. (DR.) SUDEEPT SINGH YADAV
language: en
Publisher: DeepMisti Publication
Release Date:
In the rapidly evolving world of cloud computing, data engineering plays a pivotal role in building scalable, efficient, and resilient applications. As organizations move their infrastructures to the cloud, the demand for professionals who can design, manage, and optimize data pipelines has surged. "Data Engineering for Cloud Applications: Leveraging Full-Stack Skills for Scalable Solutions" aims to bridge the gap between traditional data engineering practices and the modern demands of cloud-native environments. This book is written for developers, engineers, and architects who want to harness the power of cloud platforms while leveraging their full-stack skills to create scalable, high-performance applications. The integration of cloud technologies such as AWS, Azure, and Google Cloud with data engineering practices enables organizations to manage vast amounts of data effectively, streamline their workflows, and enhance decision-making capabilities. Through practical insights, hands-on examples, and industry best practices, this book guides you through the entire data engineering lifecycle in the cloud, from ingestion to processing and storage. Emphasis is placed on optimizing data flows, reducing latency, and maintaining data integrity across distributed systems. Whether you're working with relational databases, NoSQL systems, or big data solutions, this book offers the tools and techniques necessary to build applications that scale with your business needs. Moreover, this book highlights the synergy between cloud architecture and full-stack development, demonstrating how data engineers can collaborate with front-end and back-end developers to create end-to-end solutions. By the end, you will have a deep understanding of cloud data engineering, allowing you to design robust, scalable solutions that meet the demands of modern businesses in an increasingly data-driven world. Thank you for embarking on this journey with us. Authors
MongoDB for Jobseekers
Unlock a world of job opportunities and accelerate your career growth by mastering MongoDB KEY FEATURES ● Master the fundamental principles of Schema Design, Querying, and Database Administration. ● Explore advanced topics, including Aggregation, Replication, and Sharding. ● Develop a fully functional application utilizing MongoDB Cloud Services. DESCRIPTION MongoDB for Jobseekers serves as the ultimate companion, providing assistance and support throughout your entire MongoDB learning journey. Whether you are an experienced professional exploring new career paths or an aspiring jobseeker looking to enhance your opportunities, this comprehensive guide is specifically designed to cater to your needs. From the basics to advanced concepts, MongoDB for Jobseekers offers a well-structured approach to understanding the intricacies of this powerful NoSQL database. The book then delves into subjects like schema modeling, querying, indexing, and scalability, and discovers the reasons behind MongoDB's widespread popularity. Through clear and practical examples, the book will swiftly help you grasp the fundamental concepts and techniques required to work with MongoDB in real-life scenarios. This extensive guide will not only help establish a strong foundation in MongoDB but also unlock numerous job opportunities. Upon completing this book, you will acquire the necessary confidence and expertise to excel in your job search and embark on a rewarding career path. WHAT YOU WILL LEARN ● Gain a comprehensive understanding of MongoDB's architecture and data model. ● Learn to perform CRUD operations (Create, Read, Update, Delete) in MongoDB. ● Understand indexing strategies for optimizing query performance. ● Discover MongoDB's aggregation framework for complex data analysis. ● Learn about MongoDB's high availability and scalability features. ● Explore integration with programming languages and frameworks. WHO THIS BOOK IS FOR Whether you are a novice starting from scratch or a seasoned professional aiming to enhance your database skills, this book is for individuals who aspire to learn about MongoDB, the contemporary "NoSQL" database. TABLE OF CONTENTS 1. Why MongoDB? 2. MongoDB Jobs and Roles 3. Getting Started 4. A Better Way to Store Data – Documents 5. Let’s Do It – Create, Update and Delete Documents 6. Getting What You Want – Querying 7. Complex Data, Made Simple 8. The MongoDB Aggregation Framework 9. Planning for Performance – Collections and Indexes 10. Getting In and Getting Out – Data Migration 11. Make It Great – Configuration and Monitoring 12. Seamless Scaling – Replication and Sharding 13. Being Proactive – Security and Backups 14. Making Stuff – Programming with MongoDB 15. Tools for Success – MongoDB Shell and Compass UI 16. Cloud Services – MongoDB Atlas 17. MongoDB Atlas – Application Services 18. Jobseeker – Interview Prep 19. Conclusion
Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET)
As industries worldwide adopt advanced technologies and sustainable practices, the role of technical and vocational education and training (TVET) is evolving to meet these new demands. TVET institutions must now integrate artificial intelligence (AI) and sustainability into their programs to produce a workforce equipped with future-ready skills. By incorporating AI tools and sustainable practices into TVET curricula, educators can provide learners with the competencies to thrive in green technologies, smart manufacturing, renewable energy, and other emerging fields. This integration empowers individuals with new skills and contributes to a more sustainable, resilient global economy. Further exploration may bridge the gap between technological advancement and environmental responsibility. Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET) provides a comprehensive guide on how TVET can successfully incorporate technological elements, addressing the frameworks, strategies, best practices, and challenges associated with this transformation. It supports educators in navigating the complexities of integrating AI and sustainability into vocational training. This book covers topics such as cybersecurity, data science, and supply chains, and is a useful resource for business owners, engineers, educators, academicians, researchers, and data scientists.