 Название: AWS Certified Data Engineer Study Guide: Associate (DEA-C01) Exam
Автор: Syed Humair, Chenjerai Gumbo, Adam Gatt, Asif Abbasi, Lakshmi Nair
Издательство: Sybex
Год: 2025
Страниц: 656
Язык: английский
Формат: epub (true)
Размер: 47.4 MB
Your complete Guide to preparing for the AWS Certified Data Engineer: Associate exam.
The AWS Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C01 Associate exam. This Sybex Study Guide covers 100% of the DEA-C01 objectives. Prepare for the exam faster and smarter with Sybex thanks to accurate content including, an assessment test that validates and measures exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and retain what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get ready for the AWS Certified Data Engineer exam – quickly and efficiently – with Sybex.
Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for:
• Data Ingestion and Transformation
• Data Store Management
• Data Operations and Support
• Data Security and Governance
About the AWS Data Engineer – Associate certification:
The AWS Data Engineer – Associate certification validates skills and knowledge in core data-related Amazon Web Services. It recognizes your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices
Databases and data warehouses are crucial technologies for storing and processing data in an analytics system. They are designed to handle various types of data, including structured and semi-structured data, as well as different types of queries. These can range from highly selective queries fetching one or a few rows to complex analytics queries on massive datasets that return aggregated results.
A data warehouse is a centralized repository that stores data from various sources, including a company's internal operational systems (such as ERP and CRM applications), databases, log files, and external sources (such as web analytics providers and social media platforms). Organizations utilize this data collection for business intelligence and analytical analysis, which helps provide visibility and insights into their operational performance. By consolidating data in one place, storing a history of the data, and allowing users to query all of this data quickly, a data warehouse provides a powerful means for a business to gain insights into how it has performed in the past and to make informed decisions for the future. At its core, a data warehouse is a database specifically designed for this use case: to store large amounts of data and execute complex SQL queries with high performance. Another term for this use case is online analytical processing (OLAP).
Contents:
Foreword
Introduction
Chapter 1: Streaming and Batch Data Ingestion
Chapter 2: Building Automated Data Pipelines
Chapter 3: Data Transformation
Chapter 4: Storage Services
Chapter 5: Databases and Data Warehouses on AWS
Chapter 6: Data Catalogs
Chapter 7: Visualizing Your Data
Chapter 8: Monitoring and Auditing Data
Chapter 9: Maintaining and Troubleshooting Data Operations
Chapter 10: Authentication and Authorization
Chapter 11: Data Encryption and Masking
Chapter 12: Data Privacy and Governance
Chapter 13: How to Take the Exam
Appendix A: Answers to Review Questions
Appendix B: References
Index
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AWS Certified Data Engineer Study Guide: Associate (DEA-C01) Exam 
