Ultimate Data Engineering with Databricks PDF
Navigating Databricks with Ease for Unparalleled Data Engineering Insights.Book 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 ...

Mayank Malhotra - Ultimate Data Engineering with Databricks

Ultimate Data Engineering with Databricks

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

Mayank Malhotra

Google Play

Published by
StreetLib eBooks

Language
English
Format
epub
Uploaded

Description

Navigating Databricks with Ease for Unparalleled Data Engineering Insights.Book 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.What you will 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.Table of Contents1. 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

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