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Item #:
88140809
Azure Data Engineering Cookbook: Get well versed in various data engineering techniques in Azure using this recipe-based guide, 2nd Edition
86% of respondents would recommend this to a friend
Item #:
88140809
XAF 23056
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Get well versed in various data engineering techniques in Azure using this recipe-based guide.
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What Stands Out
Comprehensive Techniques
Covers a wide range of data engineering methods in Azure, equipping readers with diverse skills necessary to tackle real-world data challenges effectively.
Recipe-Based Approach
Utilizes a practical, recipe-based format that simplifies complex concepts, allowing users to quickly apply learned techniques to real scenarios.
Updated Content
The 2nd Edition includes the latest advancements in Azure data tools and practices, ensuring readers are aligned with current industry standards and innovations.
Product Details
| Publisher | Packt Publishing |
| Publication date | September 26, 2022 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 608 pages |
| ISBN-10 | 1803246782 |
| ISBN-13 | 978-1803246789 |
| Item Weight | 2.27 pounds (1.03 kg) |
| Dimensions | 7.5 x 1.37 x 9.25 inches (19.1 x 3.5 x 23.5 cm) |
Who Should Buy?
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Data Engineers
Professionals seeking practical, hands-on techniques to enhance their skills in Azure data engineering practices.
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Azure Beginners
New users wanting to quickly learn essential data engineering concepts and tools within the Azure ecosystem.
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Technical Trainers
Educators looking for a comprehensive resource to assist teaching data engineering techniques with practical examples.
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Absolute Beginners
Individuals with no prior technical background may find the material too advanced or overwhelming.
Product Description
Azure Data Engineering Cookbook: Get well versed in various data engineering techniques in Azure using this recipe-based guide, 2nd Edition
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Business Intelligence Tools Editorial Review
The "Azure Data Engineering Cookbook - Second Edition" has garnered positive feedback from readers, particularly those with a background in Azure and data management. Many users praise the book for its hands-on, recipe-style approach that allows for a practical exploration of various Azure data services. The book effectively covers essential tools like Azure Data Lake, Azure Data Factory, and Azure SQL Database while also addressing more complex topics such as Azure Databricks and Azure Synapse Analytics. Reviewers appreciate how the book begins with foundational concepts before progressing to advanced practices in data management, integration, and processing. The inclusion of chapters that focus on security, high availability, and performance monitoring is highlighted as particularly valuable for both beginners and seasoned professionals looking to enhance their expertise in Azure data solutions. Additionally, the presence of PowerShell scripts and companion content strengthens users' understanding and practical application of the material. Many readers noted that the cookbook serves as an excellent resource for those preparing for the DP-203 certification exam. The combination of detailed explanations, actionable exercises, and real-world applications enables users to build confidence in their skills, making the book a solid educational tool. However, readers should be aware that the book assumes a certain level of pre-existing knowledge in Azure and data engineering, which may require those less familiar with the subject to catch up before diving into the more complex topics. Overall, the "Azure Data Engineering Cookbook - Second Edition" is commended for its practical approach, comprehensive coverage, and effectiveness as a learning tool for enhancing data engineering skills in Azure. **
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Pros
- Hands-on, practical recipe-style format
- Comprehensive coverage of Azure data services
- Focus on security, performance monitoring, and high availability
- Useful for preparing for the DP-203 certification exam
- Includes PowerShell scripts and companion resources
Cons
- Assumes a basic understanding of Azure and data engineering concepts
Product Price History
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Features & Benefits
- Learn data engineering techniques in Azure through approximately 80 practical recipes.
- Build and manage robust data pipelines from scratch tailored for analytics.
- Master tools including Azure Data Factory, Data Lake, Databricks, and Synapse Analytics.
- Optimize performance with advanced techniques on Synapse SQL Pool.
- Monitor and maintain pipelines using Azure tools like Log Analytics and Azure Purview.
- Ideal for data engineers, architects, and professionals looking to enhance their Azure skills.
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