Architecting a Modern Data Warehouse for Large Enterprises: Build Multi-cloud Mo

Description: Architecting a Modern Data Warehouse for Large Enterprises by Anjani Kumar, Abhishek Mishra, Sanjeev Kumar Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Intermediate-Advanced user level Publisher Description 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.What You Will LearnUnderstand the core concepts underlying modern data warehousesDesign and build cloud-native data warehousesGain a practical approach to architecting and building data warehouses on Azure and AWSImplement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and LakehouseProcess data through pandas and evaluate your models performance using metrics such as F1-score, precision, and recallApply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applicationsWho This Book Is For Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWS Author Biography Anjani Kumar is the Managing Director and Founder of MultiCloud4u, a rapidly growing startup that helps clients and partners seamlessly implement data-driven solutions for their digital businesses. With a background in computer science, Anjani began his career researching and developing multi-lingual systems that were powered by distributed processing and data synchronization across remote regions of India. He later collaborated with companies such as Mahindra Satyam, Microsoft, RBS, and Sapient to create data warehouses and other data-based systems that could handle high-volume data processing and transformation.Abhishek Mishra is a Cloud Architect at a leading organization and has more than a decade and a half of experience building and architecting software solutions for large and complex enterprises across the globe. He has deep expertise in enabling digital transformations for his customers using the cloud and artificial intelligence.Sanjeev Kumar heads up a global data and analytics practice at the leading and oldest multinational shoe company with headquarters in Switzerland. He has 19+ years of experience working for organizations modeling modern data solutions in multiple industries. He has consulted with some of the top multinational firms and enabled digital transformation for large enterprises using modern data warehouses in the cloud. He is an expert in multiple fields of modern data management and execution including data strategy, automation, data governance, architecture, metadata, modeling, business intelligence, data management, and analytics. Details ISBN-13 9798868800283 Title Architecting a Modern Data Warehouse for Large Enterprises Author Anjani Kumar, Abhishek Mishra, Sanjeev Kumar Format Paperback Year 2023 Pages 368 Edition 1st Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:157788528; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! 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