Kniha Ultimate Data Engineering with Databricks Mayank Malhotra

Ultimate Data Engineering with Databricks

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
832
Navigating Databricks with Ease for Unparalleled Data Engineering Insights.Book DescriptionUltimate...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2024
Stránek
268
EAN
9788196994785
ISBN
8196994788
Enbook ID
45130866
Hmotnost
507
Rozměry
191 x 235 x 15

Kompletní popis

Navigating Databricks with Ease for Unparalleled Data Engineering Insights.


Book 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 a data engineering professional in today's competitive job market.


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 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

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