Aws Glue Explained
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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
AWS Cloud Projects
Gain a deeper understanding of AWS services by building eight real-world projects Key Features: - Gain practical skills in architecting, deploying, and managing applications on AWS from seasoned experts - Get hands-on experience by building different architectures in an easy-to-follow manner - Understand the purpose of different aspects in AWS, and how to make the most of them - Purchase of the print or Kindle book includes a free PDF eBook Book Description: Tired of resumes that get lost in the pile? This book is your roadmap to creating an in-demand AWS portfolio that grabs attention and gets you hired. This comprehensive guide unlocks the vast potential of AWS for developers of all levels. Inside, you'll find invaluable guidance for crafting stunning websites with S3, CloudFront, and Route53. You'll build robust and scalable applications, such as recipe-sharing platforms, using DynamoDB and Elastic Load Balancing. For streamlined efficiency, the book will teach you how to develop serverless architectures with AWS Lambda and Cognito. Gradually, you'll infuse your projects with artificial intelligence by creating a photo analyzer powered by Amazon Rekognition. You'll also automate complex workflows for seamless content translation using Translate, CodePipeline, and CodeBuild. Later, you'll construct intelligent virtual assistants with Amazon Lex and Bedrock to answer web development queries. The book will also show you how to visualize your data with insightful dashboards built using Athena, Glue, and QuickSight. By the end of this book, you'll be ready to take your projects to the next level and succeed in the dynamic world of cloud computing. What You Will Learn: - Develop a professional CV website and gain familiarity with the core aspects of AWS - Build a recipe-sharing application using AWS's serverless toolkit - Leverage AWS AI services to create a photo friendliness analyzer for professional profiles - Implement a CI/CD pipeline to automate content translation across languages - Develop a web development Q&A chatbot powered by cutting-edge LLMs - Build a business intelligence application to analyze website clickstream data and understand user behavior with AWS Who this book is for: If you're a student who wants to start your career in cloud computing or a professional with experience in other technical areas like software development who wants to embrace a new professional path or complement your technical skills in cloud computing, this book is for you. A background in computer science or engineering and basic programming skills is recommended. All the projects in the book have theoretical explanations of the services used and do not assume any previous AWS knowledge. Table of Contents - Deploying and Interacting with AWS Services - Creating a Personal Website - Building a Recipe-Sharing Application - Building a Serverless Recipe-Sharing Application - Implementing an Image Analyzer to Detect Photo Friendliness - Architecting a Content Translation Pipeline - Implementing a Chatbot Using Machine Learning - Building a Business Intelligence Application - Exploring Future Work
AWS for Solutions Architects
Author: Saurabh Shrivastava
language: en
Publisher: Packt Publishing Ltd
Release Date: 2025-07-31
Master AWS architecture and design secure, scalable, production-ready cloud systems. This practical guide features real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices. Key Features Stay current with hands-on coverage of MLOps, AIOps, and the latest AWS service updates Implement migration strategies with real-world examples and enterprise case studies Advance your AWS career with certification-aligned insights and exam-ready strategies Book DescriptionAWS for Solutions Architects, Third Edition is your essential guide to thriving in the fast-evolving AWS ecosystem. As a solutions architect, staying on top of the latest technologies and managing complex cloud migrations can be challenging, and this book addresses those pain points head-on. Seasoned AWS experts Saurabh Shrivastava, Neelanjali Srivastav, and Dhiraj Thakur bring deep industry insight and hands-on experience to every chapter. This third edition introduces cutting-edge topics, including Generative AI and MLOps, to keep pace with the evolving cloud landscape and guide you in building AI-driven applications. The book also reflects updates from the AWS Well-Architected Framework and aligns with the latest AWS certifications, making it a future-ready guide for cloud professionals. The chapters help you stay ahead of the competition with in-depth coverage of the latest AWS certifications, including AI Practitioner Foundation and Data Engineer Associate, helping you position yourself as a leader in cloud innovation. By the end of this book, you'll transform into a solutions architecture expert, equipped with the strategies, tools, and certifications needed to handle any cloud challenge.What you will learn Gain expertise in GenAI, MLOps, AIOps, and mobile edge computing Optimize performance and handle errors in cloud-native applications Prepare for new AWS certifications, including those focused on AI and data engineering Apply best practices for security, compliance, and AWS Learning Badges Explore the updated Well-Architected Framework with six pillars Get in-depth knowledge of new storage options and security group configurations Who this book is for This book is for application and enterprise architects, developers, operations engineers, and certification aspirants looking to master AWS architectural patterns, best practices, and advanced techniques for building scalable, secure, highly available, fault-tolerant, and cost-effective cloud solutions. Prior coding knowledge isn’t required, but experience in software architecture design will be helpful.