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Data Modeling for Azure Data Services
Data Modeling for Azure Data Services

Data Modeling for Azure Data Services: Implement professional data design and structures in Azure

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Key benefits

  • Design a cost-effective, performant, and scalable database in Azure
  • Choose and implement the most suitable design for a database
  • Discover how your database can scale with growing data volumes, concurrent users, and query complexity

Description

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.

Who is this book for?

This book is for business intelligence developers and consultants who work on (modern) cloud data warehousing and design and implement databases. Beginner-level knowledge of cloud data management is expected.

What you will learn

  • Model relational database using normalization, dimensional, or Data Vault modeling
  • Provision and implement Azure SQL DB and Azure Synapse SQL Pools
  • Discover how to model a Data Lake and implement it using Azure Storage
  • Model a NoSQL database and provision and implement an Azure Cosmos DB
  • Use Azure Data Factory to implement ETL/ELT processes
  • Create a star schema model using dimensional modeling
Estimated delivery fee Deliver to United States

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 30, 2021
Length: 428 pages
Edition : 1st
Language : English
ISBN-13 : 9781801077347
Vendor :
Microsoft
Category :
Languages :
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What do you get with Print?

Product feature icon Instant access to your digital copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Redeem a companion digital copy on all Print orders
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free $6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

Product Details

Publication date : Jul 30, 2021
Length: 428 pages
Edition : 1st
Language : English
ISBN-13 : 9781801077347
Vendor :
Microsoft
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total $ 158.97
Data Modeling for Azure Data Services
$54.99
Azure Databricks Cookbook
$54.99
Azure Data Factory Cookbook
$48.99
Total $ 158.97 Stars icon
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Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
(16 Ratings)
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4 star 25%
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JT Aug 03, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Captured details on data modeling on azure data services.
Amazon Verified review Amazon
Gary J Mersy Apr 12, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book covered logical modeling and transitions to SQL and No SQL for Azure. And, covered data warehouse and data lake with dimensional and data vaults. Definitely covered the gamut. Well done.
Amazon Verified review Amazon
Matt Gordon Nov 01, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Reading through the table of contents, you realize the author is trying to get a lot of information into your hands through the course of the book. While it seems like a lot (and it is), this book does an excellent job of laying the foundation for not only what a database is, but what your relational database options are in the cloud. It builds on that to walking the reader through a solid introduction to the basics of the various database platforms on Azure and how the basics get done on those platforms. This is a really nice introduction to databases, data modeling, and working with those databases in Azure. I highly recommend it for folks new to a data career or wanting to give themselves a broader base to their data career.
Amazon Verified review Amazon
B. Self Aug 16, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a very comprehensive introduction into the Azure Data Engineering landscape starting out with an introduction into the background of how databases came to be all the way through to implementing best practices in the Azure Landscape including both SQL and NoSQL based data implementations.This book would be a very good guide for both seasoned and non-seasoned Data Engineers, both as an introduction and and as reference material for those that are longer in the tooth.Peter has a very good writing style which makes it easy to understand even the most complex of ideas and will definitely be keeping an eye out for any new books he writes on the subject.
Amazon Verified review Amazon
Niklas Fehrenbach Aug 06, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Note: I have received an advanced copy for free from publisher.The book “Data Modeling for Azure Data Services” is a perfect read for professionals and interested individuals who would like to learn more about fundamental database designs and concepts. Starting with traditional relational systems (OLTP), the book also covers NoSQL and OLAP technologies that are extensively explained in the context of Azure PaaS (Azure SQL DB, Azure Cosmos DB, Azure Data Lake and Azure Synapse SQL Pool). In the final chapter the author introduces Microsoft’s ETL Tool, the Azure Data Factory, which can be used to load, visually transform and orchestrate the data in an Azure Analytics architecture.The theoretical content is complemented by exercises and code snippets that are also available in Github. This opportunity to implement the explained concepts makes the book truly valuable in practice as well – especially when new to Azure, but also when optimizing and challenging existing designs.
Amazon Verified review Amazon
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Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on [email protected] with the order number and issue details as explained below:

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On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on [email protected] within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

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Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela