Ultimate Data Engineering with Databricks: Develop Scalable Data Pipelines Using Data Engineering's Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability

Ultimate Data Engineering with Databricks: Develop Scalable Data Pipelines Using Data Engineering's Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability (Paperback, Mayank Malhotra)

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Ultimate Data Engineering with Databricks: Develop Scalable Data Pipelines Using Data Engineering's Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability  (Paperback, Mayank Malhotra)

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    Highlights
    • Binding: Paperback
    • Publisher: Orange Education Pvt Ltd
    • ISBN: 9788196994785
    • Edition: 1, 2024
    • Pages: 268
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  • Description
    Ultimate Data Engineering with Databricks is a comprehensive handbook meticulously designed for professionals aiming to enhance their data engineering skills through Databricks. Bridging the gap between foundational and advanced knowledge, this book employs a step-by-step approach with detailed explanations suitable for beginners and experienced practitioners alike. Focused on practical applications, the book employs real-world examples and scenarios to teach how to construct, optimize, and maintain robust data pipelines. Emphasizing immediate applicability, it equips readers to address real data challenges using Databricks effectively. The goal is not just understanding Databricks but mastering it to offer tangible solutions. Beyond technical skills, the book imparts best practices and expert tips derived from industry experience, aiding readers in avoiding common pitfalls and adopting strategies for optimal data engineering solutions. This book will help you develop the skills needed to make impactful contributions to organizations, enhancing your value as data engineering professionals in today's competitive job market.
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    Book Details
    Publication Year
    • 2024 February
    Book Type
    • Non Fiction
    Table of Contents
    • 1. Fundamentals of Data Engineering 2. Mastering Delta Tables in Databricks 3. Data Ingestion and Extraction 4. Data Transformation and ETL Processes 5. Data Quality and Validation 6. Data Modeling and Storage 7. Data Orchestration and Workflow Management 8. Performance Tuning and Optimization 9. Scalability and Deployment Considerations 10. Data Security and Governance Last Words Index
    Number of Pages
    • 268
    Contributors
    Author Info
    • Mayank Malhotra's journey in the tech world began as a big data engineer, quickly evolving into a versatile data engineering His extensive experience spans various cloud platforms such as AWS, Azure, and Databricks, as well as On-Prem Infrastructure, showcasing his adaptability and depth of knowledge. A BTech graduate, Mayank’s academic foundation laid the groundwork for his successful career.
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