Data Engineering with Azure Databricks: Design build and scale intelligent data solutions (English Edition)
Item #: 224370524

Data Engineering with Azure Databricks: Design build and scale intelligent data solutions (English Edition)

Item #: 224370524

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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.

Product Details

Shop Data Engineering with Azure Databricks: Design build and scale intelligent data solutions (English Edition) online at a best price in Trinidad and Tobago. 9365892856
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

Product Description

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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Pros

  • 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

Cons

  • Might be complex for complete beginners

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