Nº de artículo:
224370524
Data Engineering with Azure Databricks: Design build and scale intelligent data solutions (English Edition)
Nº de artículo:
224370524
PYG 479657
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By the end of this book, you will be equipped with the hands-on skills needed to design, build, validate, and manage production-grade data solutions on Azure Databricks.
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What Stands Out
Comprehensive Guide
Offers in-depth coverage of data engineering principles using Azure Databricks, enabling users to master building and scaling intelligent data solutions effectively.
Practical Examples
Includes real-world scenarios and practical examples that enhance understanding and facilitate the application of concepts in real data engineering projects.
Scalable Solutions
Focuses on designing scalable solutions, equipping professionals with the skills to handle large datasets efficiently in a cloud environment.
Detalles de producto
| Publisher | BPB Publications |
| Publication date | 28 Jan. 2026 |
| Language | English |
| Print length | 336 pages |
| ISBN-10 | 9365892856 |
| ISBN-13 | 978-9365892857 |
| Dimensions | 19.05 x 1.93 x 23.5 cm |
| Country of Origin | This item will be imported from EU |
| What is in the box | Data Engineering with Azure... For more details, please check description/product details |
DESCRIPCIÓN DEL PRODUCTO
Data Engineering with Azure Databricks: Design build and scale intelligent data solutions (English Edition)
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English edition Dharmendra Pratap Singh Format: Paperback Editorial Review
Data Engineering With Azure Databricks: Design Build And Scale Intelligent Data Solutions (English Edition) offers a comprehensive guide for developers and data engineers looking to leverage Azure Databricks for creating intelligent data solutions. This book, published by BPB Publications, is structured to help professionals understand the intricacies of data engineering with a focus on design and scalability. With a substantial print length of 336 pages, it includes numerous insights that can cater to both beginners and more experienced individuals in the field. The technical depth covered is aligned with the latest industry practices, making it a valuable resource.
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ventajas
- Comprehensive guide for data engineers
- Focuses on design and scalability of solutions
- Published by a reputable publisher
- Suitable for both beginners and experienced users
- In-depth technical insights included
Contras
- Might be complex for complete beginners
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características y beneficios
- Learn to build scalable ETL and ELT pipelines using Azure Databricks.
- Master real-time streaming solutions with Structured Streaming.
- Implement data quality checks and CI/CD practices.
- Explore architectural patterns in modern data ecosystems.
- Gain hands-on skills for managing production-grade data solutions.
- Ideal for data engineers, architects, and IT professionals.
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