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000937512 019__ $$a1159043982$$a1162538493
000937512 020__ $$a9781484258231$$q(electronic book)
000937512 020__ $$a1484258231$$q(electronic book)
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000937512 0248_ $$a10.1007/978-1-4842-5
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000937512 1001_ $$aHow, Matt.
000937512 24514 $$aThe modern data warehouse in Azure :$$bbuilding with speed and agility on Microsoft's cloud platform /$$cMatt How.
000937512 260__ $$aBerkeley, CA :$$bApress L. P.,$$c2020.
000937512 300__ $$a1 online resource (297 pages)
000937512 336__ $$atext$$btxt$$2rdacontent
000937512 337__ $$acomputer$$bc$$2rdamedia
000937512 338__ $$aonline resource$$bcr$$2rdacarrier
000937512 500__ $$aIncludes index.
000937512 506__ $$aAccess limited to authorized users.
000937512 520__ $$aBuild 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 developm ent 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.
000937512 588__ $$aDescription based on print version record.
000937512 650_0 $$aData warehousing.
000937512 650_0 $$aMicrosoft Azure (Computing platform)
000937512 77608 $$iPrint version:$$aHow, Matt$$tThe Modern Data Warehouse in Azure : Building with Speed and Agility on Microsoft's Cloud Platform$$dBerkeley, CA : Apress L. P.,c2020$$z9781484258224
000937512 852__ $$bebk
000937512 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4842-5823-1$$zOnline Access$$91397441.1
000937512 909CO $$ooai:library.usi.edu:937512$$pGLOBAL_SET
000937512 980__ $$aEBOOK
000937512 980__ $$aBIB
000937512 982__ $$aEbook
000937512 983__ $$aOnline
000937512 994__ $$a92$$bISE