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This book addresses some key strategic questions related to agriculture in the context of major contemporary developments and emerging challenges in Nepal such as the changing role of agriculture with economic growth, structural transformation in reducing poverty, improving nutritional outcomes, and addressing the challenges of climate change. The book also suggests policy measures to improve the delivery of critical inputs and services and ensure the participation of marginal and smallholders in high-value chains. Further, it discusses how the new federal system and governance structure will affect the delivery of agricultural technology and services. The book is divided into five parts. Part I discusses macro-issues in the agriculture sector, while Part II focuses on agricultural productivity growth and its main drivers. The third part explores diversification in the agricultural and non-agricultural sectors by farmers and other rural people for livelihood improvement, while the fourth part deals with agricultural trade and marketing issues, highlighting policy implications and recommendations in the areas of immediate focus and further research. Lastly, Part V addresses institutions and governance issues, which are vital for agricultural development. In the final chapter, the editors summarize and synthesize the book’s main findings and develop a policy agenda for addressing the many challenges faced by the agriculture sector in Nepal, so as to make it more productive, competitive, sustainable, and inclusive. The book offers a rich source of analytical information on various aspects of agricultural development in Nepal and will be of immense value to policymakers, development partners, civil society, students, and those interested in the economic and agricultural development of not only Nepal, but also other developing countries.

Development economics. --- Economics --- Economic development --- Agricultural economics. --- Economic policy. --- Agricultural Economics. --- Development Economics. --- Development Policy. --- Economic nationalism --- Economic planning --- National planning --- State planning --- Planning --- National security --- Social policy --- Agrarian question --- Agribusiness --- Agricultural economics --- Agricultural production economics --- Agriculture --- Production economics, Agricultural --- Land use, Rural --- Economic aspects

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Design and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution. The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence. After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines. You will: Understand the core concepts underlying modern data warehouses Design and build cloud-native data warehouses Gain a practical approach to architecting and building data warehouses on Azure and AWS Implement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and Lakehouse Process data through pandas and evaluate your model’s performance using metrics such as F1-score, precision, and recall Apply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applications.

Cloud Computing. --- Microsoft software. --- Microsoft .NET Framework. --- Computer networks. --- Microsoft. --- Computer Communication Networks. --- Big data. --- Business enterprises --- Data warehousing. --- Microsoft Azure (Computing platform) --- Data processing. --- Amazon Web Services (Firm)