Aws Glue Programming Guide
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Serverless ETL and Analytics with AWS Glue
Author: Vishal Pathak
language: en
Publisher: Packt Publishing Ltd
Release Date: 2022-08-30
Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Book DescriptionOrganizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes. Beginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service. It also provides a walk-through of CI/CD for AWS Glue and how to shift left on quality using automated regression tests. You’ll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you’ll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options. By the end of this AWS book, you’ll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue.What you will learn Apply various AWS Glue features to manage and create data lakes Use Glue DataBrew and Glue Studio for data preparation Optimize data layout in cloud storage to accelerate analytics workloads Manage metadata including database, table, and schema definitions Secure your data during access control, encryption, auditing, and networking Monitor AWS Glue jobs to detect delays and loss of data Integrate Spark ML and SageMaker with AWS Glue to create machine learning models Who this book is for ETL developers, data engineers, and data analysts
Rekognition Programming Guide
"Rekognition Programming Guide" The "Rekognition Programming Guide" is an indispensable resource for architects, developers, and engineers aiming to master Amazon Rekognition and integrate advanced visual recognition capabilities into scalable cloud solutions. The guide begins with a robust systems-level overview, delving into the architecture, core APIs, and secure integration points of Rekognition, while systematically covering critical topics such as media handling, deployment strategies, multi-region high availability, and cost optimization for large-scale deployments. Building on its architectural foundation, the book offers in-depth coverage of authentication, permissions, and seamless SDK integration across multiple languages, ensuring developers can confidently implement best practices for identity management, secure API authentication, and robust monitoring. Detailed chapters explore the full spectrum of Rekognition's image and video analysis APIs, from real-time object and facial recognition to custom label inference, moderation pipelines, biometric data management, and the orchestration of complex serverless workflows. Extensive guidance is provided for designing resilient, automated, and cost-efficient pipelines by leveraging AWS Lambda, Step Functions, and event-driven architectures. The guide is further distinguished by its comprehensive focus on operational excellence, including test-driven development, automated validation, synthetic data usage, and advanced performance profiling. Dedicated sections tackle the nuanced challenges of data security, privacy regulation compliance, bias mitigation, adversarial threats, and the ethical governance of AI systems. The concluding chapters chart the future of visual recognition, covering custom hybrid solutions with SageMaker, edge deployments with IoT Greengrass, and insights into open-source frameworks and ongoing research trends, making this guide an authoritative, forward-looking companion for any professional working with Amazon Rekognition.
AWS Certified Data Engineer Study Guide
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 Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: • Interactive test bank with 5 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam. • 100 electronic flashcards to reinforce learning and last-minute prep before the exam • Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared