LEADER 03888nam 22006495 450 001 9910799251003321 005 20250807124853.0 010 $a9798868800290 024 7 $a10.1007/979-8-8688-0029-0 035 $a(CKB)29476471200041 035 $a(DE-He213)979-8-8688-0029-0 035 $a(MiAaPQ)EBC31051388 035 $a(Au-PeEL)EBL31051388 035 $a(OCoLC)1416369601 035 $a(OCoLC-P)1416369601 035 $a(CaSebORM)9798868800290 035 $a(Perlego)4515949 035 $a(EXLCZ)9929476471200041 100 $a20231227d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArchitecting a Modern Data Warehouse for Large Enterprises $eBuild Multi-cloud Modern Distributed Data Warehouses with Azure and AWS /$fby Anjani Kumar, Abhishek Mishra, Sanjeev Kumar 205 $a1st ed. 2024. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2024. 215 $a1 online resource (XV, 368 p. 146 illus.) 300 $aIncludes index. 311 08$a9798868800283 327 $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. 330 $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. 606 $aCloud computing 606 $aMicrosoft software 606 $aMicrosoft .NET Framework 606 $aComputer networks 606 $aCloud Computing 606 $aMicrosoft 606 $aComputer Communication Networks 615 0$aCloud computing. 615 0$aMicrosoft software. 615 0$aMicrosoft .NET Framework. 615 0$aComputer networks. 615 14$aCloud Computing. 615 24$aMicrosoft. 615 24$aComputer Communication Networks. 676 $a005.7 700 $aKumar$b Anjani$0638545 702 $aMishra$b Abhishek 702 $aKumar$b S$g(Sanjeev), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910799251003321 996 $aArchitecting a Modern Data Warehouse for Large Enterprises$93871369 997 $aUNINA