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Data Modeling for Azure Data Services

Implement professional data design and structures in Azure

Paperback Engels 2021 9781801077347
Verwachte levertijd ongeveer 12 werkdagen

Samenvatting

Data is at the heart of all applications and forms the foundation of modern data-driven businesses. With the multitude of data-related use cases and the availability of different data services, choosing the right service and implementing the right design becomes paramount to successful implementation.

Data Modeling for Azure Data Services starts with an introduction to databases, entity analysis, and normalizing data. The book then shows you how to design a NoSQL database for optimal performance and scalability and covers how to provision and implement Azure SQL DB, Azure Cosmos DB, and Azure Synapse SQL Pool. As you progress through the chapters, you'll learn about data analytics, Azure Data Lake, and Azure SQL Data Warehouse and explore dimensional modeling, data vault modeling, along with designing and implementing a Data Lake using Azure Storage. You'll also learn how to implement ETL with Azure Data Factory.

By the end of this book, you'll have a solid understanding of which Azure data services are the best fit for your model and how to implement the best design for your solution.

Specificaties

ISBN13:9781801077347
Taal:Engels
Bindwijze:paperback
Aantal pagina's:428
Druk:1
Verschijningsdatum:30-7-2021
Hoofdrubriek:Juridisch

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Over Peter ter Braake

Peter ter Braake is zelfstandig SQL Server docent/consultant. Hij is MCT sinds 2002 en SQL Server MVP sinds begin 2012. Hij werkt sinds 2004 met Microsoft SQL Server Business Intelligengence en is auteur van het boek Aan de slag met Reporting Services 2012.

Andere boeken door Peter ter Braake

Inhoudsopgave

Section 1 – Operational/OLTP Databases
1: Introduction to Databases
2: Entity Analysis
3: Normalizing Data
4: Provisioning and Implementing an Azure SQL DB
5: Designing a NoSQL Database
6: Provisioning and Implementing an Azure Cosmos DB Database

Section 2 – Analytics with a Data Lake and Data Warehouse
7: Dimensional Modeling
8: Provisioning and Implementing an Azure Synapse SQL Pool
9: Data Vault Modeling
10: Designing and Implementing a Data Lake Using Azure Storage

Section 3 – ETL with Azure Data Factory
11: Implementing ETL Using Azure Data Factory

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