SKU/Artículo: AMZ-B0G2579864
Databricks Certified Data Engineer Associate Prep Guide: Real Exam Scenarios, Hands-On Labs, and Performance Optimization Techniques for Apache Spark and the Lakehouse Platform
Format:
Paperback
Detalles del producto
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En stock
En stock
Peso con empaque:
1.27 kg
1.27 kg
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Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Prepare with confidence for one of the most respected data engineering certifications in the cloud ecosystem. This comprehensive prep guide helps you master Databricks, Apache Spark, and Delta Lake with a clear, practical approach built for both exam success and real-world performance.This book aligns with the official Databricks Certified Data Engineer Associate exam objectives and goes beyond theory. It teaches you how to design, build, and optimize data pipelines using Spark and the Lakehouse architecture. You will understand how Databricks processes data, manages transactions, enforces schemas, and delivers scalable performance across batch and streaming workloads.The content is organized for structured learning and direct application. Each chapter explains core concepts in simple language, followed by applied examples and practice scenarios that reflect what professional data engineers handle daily.What You Will Learn • Build reliable ETL and ELT data pipelines using Apache Spark and Delta Lake • Manage ACID transactions, schema enforcement, and time travel in Delta tables • Ingest and transform data using Auto Loader and Structured Streaming • Optimize query performance through partitioning, caching, and Z-Ordering • Monitor and troubleshoot jobs using Spark UI and adaptive query execution • Implement governance and access control through Unity Catalog • Automate workflows and CI/CD deployments using Databricks Jobs and APIs • Prepare for the certification exam with realistic questions and step-by-step labsKey Features • Fully aligned with the Databricks Certified Data Engineer Associate exam • Over 500 realistic practice questions with detailed solutions • Hands-on PySpark and SQL code examples using Databricks sample datasets • Deep coverage of Delta Lake optimization and large-scale performance tuning • Clear guidance on real-world data engineering best practices • Dedicated sections on exam-day strategy, skill development, and post-certification learningWho This Book Is For This guide is written for data engineers, developers, and cloud professionals preparing for the Databricks Certified Data Engineer Associate exam. It also serves as a valuable reference for anyone building or managing large-scale data platforms using Spark, Delta Lake, and the Databricks Lakehouse architecture.This book transforms complex concepts into practical understanding through concise explanations and applied learning. Whether you are new to Databricks or advancing your engineering career, it will help you build confidence, pass your certification, and strengthen your skills in data pipeline design, performance optimization, and Lakehouse implementation.
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AR$114.233
49% OFF
AR$58.585
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