Ultimate Data Engineering With Databricks: Develop Scalable Data Pipelines Using Data Engineering's Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability (English Edition)
Ultimate Data Engineering With Databricks: Develop Scalable Data Pipelines Using Data Engineering's Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability (English Edition)
Navigating Databricks with Ease for Unparalleled Data Engineering Insights.
KEY FEATURES ● Navigate Databricks with a seamless progression from fundamental principles to advanced engineering techniques.● Gain hands-on experience with real-world examples, ensuring immediate relevance and practicality.● Discover expert insights and best practices for refining your data engineering skills and achieving superior results with Databricks.
DESCRIPTIONUltimate 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.
WHAT WILL YOU LEARN ● Acquire proficiency in Databricks fundamentals, enabling the construction of efficient data pipelines. ● Design and implement high-performance data solutions for scalability.● Apply essential best practices for ensuring data integrity in pipelines.● Explore advanced Databricks features for tackling complex data tasks.● Learn to optimize data pipelines for streamlined workflows.
WHO IS THIS BOOK FOR?This book caters to a diverse audience, including data engineers, data architects, BI analysts, data scientists and technology enthusiasts. Suitable for both professionals and students, the book appeals to those eager to master Databricks and stay at the forefront of data engineering trends. A basic understanding of data engineering concepts and familiarity with cloud computing will enhance the learning experience.
TABLE OF CONTENTS 1. Fundamentals of Data Engineering2. Mastering Delta Tables in Databricks3. Data Ingestion and Extraction4. Data Transformation and ETL Processes5. Data Quality and Validation6. Data Modeling and Storage7. Data Orchestration and Workflow Management8. Performance Tuning and Optimization9. Scalability and Deployment Considerations10. Data Security and Governance Last Words Index
Navigating Databricks with Ease for Unparalleled Data Engineering Insights.
KEY FEATURES ● Navigate Databricks with a seamless progression from fundamental principles to advanced engineering techniques.● Gain hands-on experience with real-world examples, ensuring immediate relevance and practicality.● Discover expert insights and best practices for refining your data engineering skills and achieving superior results with Databricks.
DESCRIPTIONUltimate 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.
WHAT WILL YOU LEARN ● Acquire proficiency in Databricks fundamentals, enabling the construction of efficient data pipelines. ● Design and implement high-performance data solutions for scalability.● Apply essential best practices for ensuring data integrity in pipelines.● Explore advanced Databricks features for tackling complex data tasks.● Learn to optimize data pipelines for streamlined workflows.
WHO IS THIS BOOK FOR?This book caters to a diverse audience, including data engineers, data architects, BI analysts, data scientists and technology enthusiasts. Suitable for both professionals and students, the book appeals to those eager to master Databricks and stay at the forefront of data engineering trends. A basic understanding of data engineering concepts and familiarity with cloud computing will enhance the learning experience.
TABLE OF CONTENTS 1. Fundamentals of Data Engineering2. Mastering Delta Tables in Databricks3. Data Ingestion and Extraction4. Data Transformation and ETL Processes5. Data Quality and Validation6. Data Modeling and Storage7. Data Orchestration and Workflow Management8. Performance Tuning and Optimization9. Scalability and Deployment Considerations10. Data Security and Governance Last Words Index