Databricks Certified Data Engineer Associate Study GuideКНИГИ » ОС И БД
Название: Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice Автор: Derar Alhussein Издательство: O’Reilly Media, Inc. Год: 2025 Страниц: 495 Язык: английский Формат: epub Размер: 31.8 MB
Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business success. The Databricks Data Engineer Associate certification is proof that you have a complete understanding of the Databricks platform and its capabilities, as well as the essential skills to effectively execute various data engineering tasks on the platform.
In this comprehensive study guide, you will build a strong foundation in all topics covered on the certification exam, including the Databricks Lakehouse and its tools and benefits. You'll also learn to develop ETL pipelines in both batch and streaming modes. Moreover, you'll discover how to orchestrate data workflows and design dashboards while maintaining data governance. Finally, you'll dive into the finer points of exactly what's on the exam and learn to prepare for it with mock tests.
Databricks Runtime is a pre-configured virtual machine image optimized for use within Databricks clusters. It includes a set of core components, such as Apache Spark, Delta Lake, and other essential system libraries. Delta Lake enhances traditional data lakes by providing transactional guarantees similar to those found in operational databases, thereby ensuring improved data reliability and consistency.
Apache Spark, an open source data processing engine, is a cornerstone of the Databricks platform, enabling fast and scalable analytics. Databricks, founded by the original creators of Apache Spark, has deeply integrated Spark into its platform, making it one of the most optimized environments for running Spark applications.
Author Derar Alhussein teaches you not only the fundamental concepts but also provides hands-on exercises to reinforce your understanding. From setting up your Databricks workspace to deploying production pipelines, each chapter is carefully crafted to equip you with the skills needed to master the Databricks Platform. By the end of this book, you'll know everything you need to ace the Databricks Data Engineer Associate certification exam with flying colors, and start your career as a certified data engineer from Databricks!
You'll learn how to:
Use the Databricks Platform and Delta Lake effectively Perform advanced ETL tasks using Apache Spark SQL Design multi-hop architecture to process data incrementally Build production pipelines using Delta Live Tables and Databricks Jobs Implement data governance using Databricks SQL and Unity Catalog
Who This Book Is For: This book is designed for anyone seeking to advance their data engineering skills, whether you’re just beginning your journey or already have some experience in the field. It’s tailored specifically for those preparing for the Databricks Data Engineer Associate certification, but it also serves as a practical guide for anyone who wants to gain a deeper understanding of the Databricks platform and its many capabilities.
The book is ideal for individuals who already have a strong foundation in SQL and a basic understanding of Python. If you are familiar with manipulating data using SQL and are looking to apply those skills within the Databricks platform, this guide will help you bridge that gap. The choice to focus primarily on SQL in this book reflects the structure of the certification exam, where most code-based questions are demonstrated using SQL. However, for more complex operations where SQL alone is insufficient, Python is introduced to complement your learning.
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Databricks Certified Data Engineer Associate Study Guide 
