Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del, (Paperback)
Learn data ingestion, data transformation, and data management techniques using Apache Spark and Delta Lake.
Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del, (Paperback)
منتج #: 160171314

Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del, (Paperback)

منتج #: 160171314
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Learn data ingestion, data transformation, and data management techniques using Apache Spark and Delta Lake.
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Comprehensive Cookbook
This cookbook offers insight into practical applications, providing step-by-step methods for leveraging Apache Spark and Databricks, making it ideal for both beginners and seasoned data engineers.
Focused on AI Solutions
Addresses modern AI challenges, blending data engineering and machine learning seamlessly, allowing users to master the integration of data workflows to build robust AI solutions effectively.
Real-World Scenarios
Equipped with example-driven content, it empowers readers to apply concepts directly to everyday challenges, enhancing learning and practical implementation for real data engineering tasks.

تفاصيل المنتج

Shop Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del, (Paperback) online at a best price in Libya. 5840637246
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateMay, 2024
Pages438
SubgenreData Science
Series titleNo Series
Edition1
PublisherPackt Publishing
Original languagesEnglish
LanguageEnglish
Edu focusEngineering
Is collectibleN
Retail packagingSingle Piece
Assembled product height9.25 in
Assembled product weight1.65 lb (750 grams)
Bisac subject headingComputers

من يجب أن يشتري؟

Suitable For
  • Aspiring Data Engineers

    Ideal for users looking to gain practical skills in data engineering using Databricks and Apache Spark.

  • AI Solution Developers

    Great for developers needing to integrate data solutions with AI, enhancing their workflow with Databricks.

  • Data Analysts

    Useful for analysts wanting to deepen their understanding of data processing and analytics in scalable environments.

Not Suitable For
  • Beginner Programmers

    Not suitable for those with no programming background, as prior knowledge is crucial for understanding the content.

وصف المنتج

Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del, (Paperback)

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أسئلة العملاء & الإجابات

  • سؤال: Who is this book intended for?

    إجابه: It's designed for data engineers, data scientists, and practitioners seeking to build scalable data pipelines.
  • سؤال: What technologies does this book cover?

    إجابه: The book focuses on Apache Spark, Delta Lake, and Databricks for modern data engineering.
  • سؤال: What is a unique feature of this book?

    إجابه: It has a recipe-based approach that enables immediate application of learned techniques to common problems.

Pulkit Chadha All Books Editorial Review

Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Del is a pivotal resource for anyone looking to enhance their skills in data science and engineering. This non-fiction paperback, with a comprehensive 438 pages, offers practical guidance tailored for aspiring data engineers. Published by Packt Publishing in May 2024, it delves into the intricacies of using Apache Spark and Databricks, presenting real-world solutions and actionable insights. Readers have noted the book's clarity and depth, making complex topics more accessible to learners. For those keen on mastering data solutions, this cookbook stands out as an essential tool.

مراجعات العملاء وتقييماتهم

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إيجابيات

  • Comprehensive coverage of data engineering topics
  • Accessible for beginners and advanced users
  • Clear explanations with real-world examples
  • Well-organized for easy navigation
  • Practical insights into Apache Spark and Databricks

سلبيات

  • Could benefit from more illustrations or diagrams

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