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Titlebook: Architecting a Modern Data Warehouse for Large Enterprises; Build Multi-cloud Mo Anjani Kumar,Abhishek Mishra,Sanjeev Kumar Book 2024 Anjan

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發(fā)表于 2025-3-21 16:05:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Architecting a Modern Data Warehouse for Large Enterprises
期刊簡(jiǎn)稱Build Multi-cloud Mo
影響因子2023Anjani Kumar,Abhishek Mishra,Sanjeev Kumar
視頻videohttp://file.papertrans.cn/162/161245/161245.mp4
發(fā)行地址Covers services and utilities available on Azure and AWS to build modern data warehouses.Provides enterprise-grade best practices to design and architect cloud-based modern data warehouses.Material is
圖書封面Titlebook: Architecting a Modern Data Warehouse for Large Enterprises; Build Multi-cloud Mo Anjani Kumar,Abhishek Mishra,Sanjeev Kumar Book 2024 Anjan
影響因子.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 Learn..Understand the core concepts underlying modern data warehouses.Design and build cloud-native data warehouses.Gain a practical approach
Pindex Book 2024
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沙發(fā)
發(fā)表于 2025-3-22 00:07:51 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:11:31 | 只看該作者
Evolution Algebras and Markov Chains,oring, organizing, retrieving, scaling, and consuming these data can be challenging. There needs to be a systematic pattern when dealing with data so that it is easy to store, manage, source, and consume. A data mesh comes to the rescue here.
地板
發(fā)表于 2025-3-22 07:05:35 | 只看該作者
5#
發(fā)表于 2025-3-22 11:02:53 | 只看該作者
Data Mesh,oring, organizing, retrieving, scaling, and consuming these data can be challenging. There needs to be a systematic pattern when dealing with data so that it is easy to store, manage, source, and consume. A data mesh comes to the rescue here.
6#
發(fā)表于 2025-3-22 14:50:20 | 只看該作者
Data Democratization, Governance, and Security,security are at opposite ends of the spectrum, but governance is essential to balance both. There are a plethora of tools and techniques available for the same, but concepts, activities, and possible pitfalls are found in the same services available in the cloud.
7#
發(fā)表于 2025-3-22 20:31:37 | 只看該作者
Evolution Algebras and Markov Chains,In the last decade, numerous technology updates have happened in the area of data warehousing. In addition, customer expectations increase with each passing year.
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發(fā)表于 2025-3-23 00:21:49 | 只看該作者
9#
發(fā)表于 2025-3-23 01:29:31 | 只看該作者
Modern Data Warehouses,In the last decade, numerous technology updates have happened in the area of data warehousing. In addition, customer expectations increase with each passing year.
10#
發(fā)表于 2025-3-23 08:49:08 | 只看該作者
Data Orchestration Techniques,In today’s world, businesses are generating and capturing more data than ever before. While this data is valuable, it can also be challenging to manage, integrate, and make sense of. This is where data orchestration comes in.
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