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43882045
Azure Storage, Streaming, and Batch Analytics: A guide for data engineers
87% of respondents would recommend this to a friend
Item #:
43882045
MAD 583
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What Stands Out
Comprehensive Insights
This guide offers in-depth knowledge on Azure Storage specifically tailored for data engineers, helping them leverage powerful analytics tools efficiently for both streaming and batch data processes.
Expert Guidance
Written by industry experts, this book provides best practices and practical strategies, ensuring data engineers can confidently implement Azure solutions to solve real-world storage and analytics challenges.
Proven Techniques
The guide covers proven techniques to optimize data processing with Azure, enabling data engineers to enhance performance and scalability of their applications while minimizing costs and complexities.
Product Details
| Publisher | Manning |
| Publication date | November 3, 2020 |
| Edition | 1st |
| Language | English |
| Print length | 448 pages |
| ISBN-10 | 1617296309 |
| ISBN-13 | 978-1617296307 |
| Item Weight | 1.8 pounds (820 grams) |
| Dimensions | 7.38 x 0.7 x 9.25 inches (18.7 x 1.8 x 23.5 cm) |
Who Should Buy?
-
Data Engineers
Ideal for data engineers seeking comprehensive knowledge of Azure storage and analytics capabilities in data processing workflows.
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Cloud Professionals
Benefits cloud professionals looking to enhance their skills in using Azure for data storage and batch analytics solutions.
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Technical Students
Great for students studying data engineering or cloud computing who want practical insights and methodologies for Azure services.
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Beginner Users
Not suited for complete beginners lacking basic understanding of data concepts or Azure platform functionalities.
Product Description
Azure Storage, Streaming, and Batch Analytics: A guide for data engineers
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Data Mining Editorial Review
Azure Storage, Streaming, and Batch Analytics: A guide for data engineers is a comprehensive resource tailored for those interested in mastering data engineering with Azure. The book caters particularly to individuals with a background in .NET or Microsoft technologies, providing numerous examples and hands-on activities to reinforce learning. Readers have praised its clarity and effectiveness in explaining complex concepts, making it an excellent introduction for aspiring data engineers. The 448-page content covers foundational aspects of Azure services setup and challenges, although it does miss contemporary technologies like Spark and Synapse Analytics. Despite some chapters becoming obsolete due to deprecated services, the core teachings remain beneficial for basic Azure mastery.
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Pros
- Accessible for .NET and Microsoft technology users
- Hands-on activities enhance understanding
- Clear explanations of key data engineering concepts
- Rich in examples and diagrams
- Concise guidance adopted by Microsoft
Cons
- Some content is outdated with deprecated Azure services
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