03651nam a22004695i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153072001600166072002300182072001500205100007600220245021300296250001800509264005400527300004400581336002600625337002600651338003600677347002400713505028300737520161801020650002102638650002402659650003002683650002502713650002102738650001502759650003702774700007902811700007702890710003402967773002603001776003603027776003603063776003603099856004603135979-8-8688-0029-0DE-He21320251030110900.0cr nn 008mamaa231227s2024    xxu|    s    |||| 0|eng d  a97988688002907 a10.1007/979-8-8688-0029-02doi 4aQA76.585 7aUTC2bicssc 7aCOM0910002bisacsh 7aUTC2thema1 aKumar, Anjani.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aArchitecting a Modern Data Warehouse for Large Enterprisesh[electronic resource] :bBuild Multi-cloud Modern Distributed Data Warehouses with Azure and AWS /cby Anjani Kumar, Abhishek Mishra, Sanjeev Kumar.  a1st ed. 2024. 1aBerkeley, CA :bApress :bImprint: Apress,c2024.  aXV, 368 p. 146 illus.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aChapter 1: Introduction -- Chapter 2: Modern Data Warehouses -- Chapter 3: Data Lake, Lake House, and Delta Lake -- Chapter 4: Data Mesh -- Chapter 5: Data Orchestration Techniques -- Chapter 6: Data Democratization, Governance, and Security -- Chapter 7: Business Intelligence.  aDesign 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. 0aCloud Computing. 0aMicrosoft software. 0aMicrosoft .NET Framework. 0aComputer networks .14aCloud Computing.24aMicrosoft.24aComputer Communication Networks.1 aMishra, Abhishek.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut1 aKumar, Sanjeev.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z979886880028308iPrinted edition:z979886880030608iPrinted edition:z979886880592940uhttps://doi.org/10.1007/979-8-8688-0029-0