東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Modern data architecture on Azure = ...

Lad, Sagar.

FindBook

Google Book

Amazon

博客來

Modern data architecture on Azure = design data-centric solutions on microsoft Azure /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modern data architecture on Azure/ by Sagar Lad.
其他題名:	design data-centric solutions on microsoft Azure /
作者:	Lad, Sagar.
出版者:	Berkeley, CA :Apress : : 2023.,
面頁冊數:	xvii, 206 p. :illustrations, digital ;24 cm.
內容註:	Chapter 1: Introduction: Fundamentals of Data Management -- Chapter 2: Build Relational & Non-Relational Data Solutions on Azure -- Chapter 3: Building a Big Data Architecture -- Chapter 4: Data Management Patterns & Technology Choices with Azure -- Chapter 5: Data Architecture Process -- Chapter 6: Data Architecture Framework Explained.
Contained By:	Springer Nature eBook
標題:	Data warehousing. -
電子資源:	https://doi.org/10.1007/978-1-4842-9760-5
ISBN:	9781484297605

Modern data architecture on Azure = design data-centric solutions on microsoft Azure /
Lad, Sagar.

Modern data architecture on Azuredesign data-centric solutions on microsoft Azure /[electronic resource] :by Sagar Lad. - Berkeley, CA :Apress :2023. - xvii, 206 p. :illustrations, digital ;24 cm.

Chapter 1: Introduction: Fundamentals of Data Management -- Chapter 2: Build Relational & Non-Relational Data Solutions on Azure -- Chapter 3: Building a Big Data Architecture -- Chapter 4: Data Management Patterns & Technology Choices with Azure -- Chapter 5: Data Architecture Process -- Chapter 6: Data Architecture Framework Explained.

This book is an exhaustive guide to designing and implementing data solutions on Azure. It covers the process of managing data from end to end, starting from data collection all the way through transformation, distribution, and consumption. Modern Data Architecture on Azure begins with an introduction to the fundaments of data management, followed by a demonstration of how to build relational and non-relational data solutions on Azure. Here, you will learn data processing for complex analysis and how to work with CSV and JSON files. Moving forward, you will learn the foundational concepts of big data architecture, along with data management patterns and technology options offered by Azure. From there, you'll be walked through the data architecture process, including data consortium on Azure, enterprise data governance, and much more. The book culminates with a deep dive into data architecture frameworks with data modeling. After reading this book, you will have a thorough understanding of data design and analytics using Azure, allowing you to collect and analyze massive amounts of data to optimize business performance, forecast future results, and more. You will: Understand the fundamentals of data architecture including data management, data handling ethics, data governance, and metadata management Analyze and understand business needs to choose the right Azure services and make informed business decisions Understand Azure Cloud Data design patterns for relational and non-relational data, batch real-time processing, and ETL/ELT pipelines Modernize data architecture using Azure to leverage data and AI to enable digital transformation by securing and optimizing overall data lifecycle management.

ISBN: 9781484297605

Standard No.: 10.1007/978-1-4842-9760-5doiSubjects--Topical Terms:

606996
Data warehousing.

LC Class. No.: QA76.9.D37

Dewey Class. No.: 005.745

Modern data architecture on Azure = design data-centric solutions on microsoft Azure /
LDR:03092nmm a2200325 a 4500 001 2336418
003 DE-He213
005 20231107192511.0
006 m d
007 cr nn 008maaau
008 240402s2023 cau s 0 eng d
020 $a 9781484297605 $q (electronic bk.)
020 $a 9781484297599 $q (paper)
024 7 $a 10.1007/978-1-4842-9760-5 $2 doi
035 $a 978-1-4842-9760-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D37
072 7 $a UMP $2 bicssc
072 7 $a COM051380 $2 bisacsh
072 7 $a UMP $2 thema
082 0 4 $a 005.745 $2 23
090 $a QA76.9.D37 $b L153 2023
100 1 $a Lad, Sagar. $3 3627402
245 1 0 $a Modern data architecture on Azure $h [electronic resource] : $b design data-centric solutions on microsoft Azure / $c by Sagar Lad.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2023.
300 $a xvii, 206 p. : $b illustrations, digital ; $c 24 cm.
505 0 $a Chapter 1: Introduction: Fundamentals of Data Management -- Chapter 2: Build Relational & Non-Relational Data Solutions on Azure -- Chapter 3: Building a Big Data Architecture -- Chapter 4: Data Management Patterns & Technology Choices with Azure -- Chapter 5: Data Architecture Process -- Chapter 6: Data Architecture Framework Explained.
520 $a This book is an exhaustive guide to designing and implementing data solutions on Azure. It covers the process of managing data from end to end, starting from data collection all the way through transformation, distribution, and consumption. Modern Data Architecture on Azure begins with an introduction to the fundaments of data management, followed by a demonstration of how to build relational and non-relational data solutions on Azure. Here, you will learn data processing for complex analysis and how to work with CSV and JSON files. Moving forward, you will learn the foundational concepts of big data architecture, along with data management patterns and technology options offered by Azure. From there, you'll be walked through the data architecture process, including data consortium on Azure, enterprise data governance, and much more. The book culminates with a deep dive into data architecture frameworks with data modeling. After reading this book, you will have a thorough understanding of data design and analytics using Azure, allowing you to collect and analyze massive amounts of data to optimize business performance, forecast future results, and more. You will: Understand the fundamentals of data architecture including data management, data handling ethics, data governance, and metadata management Analyze and understand business needs to choose the right Azure services and make informed business decisions Understand Azure Cloud Data design patterns for relational and non-relational data, batch real-time processing, and ETL/ELT pipelines Modernize data architecture using Azure to leverage data and AI to enable digital transformation by securing and optimizing overall data lifecycle management.
650 0 $a Data warehousing. $3 606996
650 0 $a Microsoft Azure (Computing platform) $3 3201298
650 0 $a Cloud computing. $3 1016782
650 1 4 $a Microsoft. $3 3593799
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-9760-5
950 $a Professional and Applied Computing (SpringerNature-12059)