國立高雄大學圖資館 |

Language: English

Back

The modern data warehouse in Azurebu...

How, Matt.

The modern data warehouse in Azurebuilding with speed and agility on Microsoft's cloud platform /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The modern data warehouse in Azureby Matt How.
Reminder of title:	building with speed and agility on Microsoft's cloud platform /
Author:	How, Matt.
Published:	Berkeley, CA :Apress :2020.
Description:	xxii, 282 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Data warehousing.
Online resource:	https://doi.org/10.1007/978-1-4842-5823-1
ISBN:	9781484258231$q(electronic bk.)

The modern data warehouse in Azurebuilding with speed and agility on Microsoft's cloud platform /
How, Matt.

The modern data warehouse in Azurebuilding with speed and agility on Microsoft's cloud platform /[electronic resource] :by Matt How. - Berkeley, CA :Apress :2020. - xxii, 282 p. :ill., digital ;24 cm.

1. The Rise of the Modern Data Warehouse -- 2. The SQL Engine -- 3. The Integration Engine -- 4. The Ingestion Architecture -- 5. The Role of the Data Lake -- 6. The Role of the Data Contract -- 7. Logging, Auditing, and Resilience -- 8. Using Scripting & Automation -- 9. Beyond the Modern Data Warehouse.

Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast-fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business. Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success. This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations. You will: Choose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane development tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestion Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse.

ISBN: 9781484258231$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-5823-1doiSubjects--Topical Terms:

199894
Data warehousing.

LC Class. No.: QA76.9.D37 / H696 2020

Dewey Class. No.: 004.165

The modern data warehouse in Azurebuilding with speed and agility on Microsoft's cloud platform /
LDR:03545nmm a2200325 a 4500 001 580744
003 DE-He213
005 20201103145915.0
006 m
007 cr
008 210105s2020
020 $a 9781484258231$q(electronic bk.)
020 $a 9781484258224$q(paper)
024 7 $a 10.1007/978-1-4842-5823-1 $2 doi
035 $a 978-1-4842-5823-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D37 $b H696 2020
072 7 $a UMP $2 bicssc
072 7 $a COM051380 $2 bisacsh
072 7 $a UMP $2 thema
082 0 4 $a 004.165 $2 23
090 $a QA76.9.D37 $b H847 2020
100 1 $a How, Matt. $3 870666
245 1 4 $a The modern data warehouse in Azure $h [electronic resource] : $b building with speed and agility on Microsoft's cloud platform / $c by Matt How.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2020.
300 $a xxii, 282 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. The Rise of the Modern Data Warehouse -- 2. The SQL Engine -- 3. The Integration Engine -- 4. The Ingestion Architecture -- 5. The Role of the Data Lake -- 6. The Role of the Data Contract -- 7. Logging, Auditing, and Resilience -- 8. Using Scripting & Automation -- 9. Beyond the Modern Data Warehouse.
520 $a Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast-fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business. Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success. This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations. You will: Choose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane development tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestion Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse.
650 0 $a Data warehousing. $3 199894
650 0 $a Microsoft Azure (Computing platform) $3 763318
650 1 4 $a Microsoft and .NET. $3 760507
650 2 4 $a Database Management. $3 273994
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4842-5823-1
950 $a Professional and Applied Computing (Springer-12059)