Amaury de Leoville

Aleksander Dumas (ojciec)

Utwór jest wyjątkowo interesujący, ponieważ stanowi jedyną próbę Dumasa by stworzyć powieść epistolarną. Ogólny jej temat to zazdrość. Akcja rozgrywa się na obrzeżach Paryża w latach 18381839. Na pewnym spotkaniu grupy arystokratów podczas rozmowy jeden z nich zadaje pytanie: - Czy umiera się z miłości? I w odpowiedzi pokazuje rękopis, który rzekomo jest pamiętnikiem i listami rodziny zmarłego M. dAvrigny, wdowca i doktora królewskiego, które opowiadają o romantycznej historii Amaury de Léoville, bogatego i samotnego młodego mężczyzny, który żyje z Dr. dAvrigny i jego dwiema kochankami: Madeleine i Antoinette. Ciekawa historia, ponieważ z jednej strony ukazuje punkt widzenia ojca i kochanka, poprzez fragmenty pamiętników, przeciwny wersji Antoinette, zapisanej w jej listach.

Amaury de Leoville

Aleksander Dumas (ojciec)

“Amaury de Leoville” to powieść Aleksandra Dumasa (ojca), francuskiego pisarza i dramaturga, autor “Hrabiego Monte Christo” i “Trzech muszkieterów”.   Utwór stanowi jedyną próbę Dumasa by stworzyć powieść epistolarną. Akcja rozgrywa się na obrzeżach Paryża w latach 1838–1839. Podczas rozmowy jeden z bohaterów zadaje pytanie: - Czy umiera się z miłości? W odpowiedzi pokazuje rękopis, który rzekomo jest pamiętnikiem i listami rodziny zmarłego doktora królewskiego.  

Amazon Connect: Up and Running. Improve your customer experience by building logical and cost-effective solutions for critical call center systems

Jeff Armstrong

Amazon Connect is a pay-as-you-go cloud contact center solution that powers Amazon’s customer contact system and provides an impressive user experience while reducing costs. Connect's scalability has been especially helpful during COVID-19, helping customers with research, remote work, and other solutions, and has driven adoption rates higher. Amazon Connect: Up and Running will help you develop a foundational understanding of Connect's capabilities and how businesses can effectively estimate the costs and risks associated with migration.Complete with hands-on tutorials, costing profiles, and real-world use cases relating to improving business operations, this easy-to-follow guide will teach you everything you need to get your call center online, interface with critical business systems, and take your customer experience to the next level. As you advance, you'll understand the benefits of using Amazon Connect and cost estimation guidelines for migration and new deployments. Later, the book guides you through creating AI bots, implementing interfaces, and leveraging machine learning for business analytics.By the end of this book, you'll be able to bring a Connect call center online with all its major components and interfaces to significantly reduce personnel overhead and provide your customers with an enhanced user experience (UX).

Amazon DynamoDB - The Definitive Guide. Explore enterprise-ready, serverless NoSQL with predictable, scalable performance

Aman Dhingra, Mike Mackay

This book will help you master Amazon DynamoDB, the fully managed, serverless, NoSQL database service designed for high performance at any scale. Authored by Aman Dhingra, senior DynamoDB specialist solutions architect at AWS, and Mike Mackay, former senior NoSQL specialist solutions architect at AWS, this guide draws on their expertise to equip you with the knowledge and skills needed to harness DynamoDB's full potential.This book not only introduces you to DynamoDB's core features and real-world applications, but also provides in-depth guidance on transitioning from traditional relational databases to the NoSQL world. You'll learn essential data modeling techniques, such as vertical partitioning, and explore the nuances of DynamoDB's indexing capabilities, capacity modes, and consistency models. The chapters also help you gain a solid understanding of advanced topics such as enhanced analytical patterns, implementing caching with DynamoDB Accelerator (DAX), and integrating DynamoDB with other AWS services to optimize your data strategies.By the end of this book, you’ll be able to design, build, and deliver low-latency, high-throughput DynamoDB solutions, driving new levels of efficiency and performance for your applications.

Amazon EC2 Cookbook. Over 40 hands-on recipes to develop and deploy real-world applications using Amazon EC2

Sekhar Reddy, Aurobindo Sarkar

Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop’s internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience.

Amazon Fargate Quick Start Guide. Learn how to use AWS Fargate to run containers with ease

Deepak Vohra

Amazon Fargate is new launch type for the Amazon Elastic Container Service (ECS). ECS is an AWS service for Docker container orchestration. Docker is the de facto containerization framework and has revolutionized packaging and deployment of software. The introduction of Fargate has made the ECS platform serverless.The book takes you through how Amazon Fargate runs ECS services composed of tasks and Docker containers and exposes the containers to the user. Fargate has simplified the ECS platform. We will learn how Fargate creates an Elastic Network Interface (ENI) for each task and how auto scaling can be enabled for ECS tasks. You will also learn about using an IAM policy to download Docker images and send logs to CloudWatch. Finally, by the end of this book, you will have learned about how to use ECS CLI to create an ECS cluster and deploy tasks with Docker Compose.

Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions

Shruti Worlikar, Thiyagarajan Arumugam, Harshida Patel, Eugene Kawamoto

Amazon Redshift is a fully managed, petabyte-scale AWS cloud data warehousing service. It enables you to build new data warehouse workloads on AWS and migrate on-premises traditional data warehousing platforms to Redshift.This book on Amazon Redshift starts by focusing on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll then learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. Because of the massive amount of data involved in data warehousing, designing your database for analytical processing lets you take full advantage of Redshift's columnar architecture and managed services. As you advance, you’ll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, which help minimize the operational efforts that you have to invest in managing regular ETL pipelines and ensure the timely and accurate refreshing of your data warehouse. Finally, you'll gain a clear understanding of Redshift use cases, data ingestion, data management, security, and scaling so that you can build a scalable data warehouse platform.By the end of this Redshift book, you'll be able to implement a Redshift-based data analytics solution and have understood the best practice solutions to commonly faced problems.

Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions - Second Edition

Shruti Worlikar, Harshida Patel, Anusha Challa, Ippokratis Pandis

Amazon Redshift Cookbook offers comprehensive guidance for leveraging AWS's fully managed cloud data warehousing service. Whether you're building new data warehouse workloads or migrating traditional on-premises platforms to the cloud, this essential resource delivers proven implementation strategies. Written by AWS specialists, these easy-to-follow recipes will equip you with the knowledge to successfully implement Amazon Redshift-based data analytics solutions using established best practices.The book focuses on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. The book covers recipes to help you take full advantage of Redshift's columnar architecture and managed services. You'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, helping you minimize the operational effort that you invest in managing regular ETL pipelines and ensuring the timely and accurate refreshing of your data warehouse.By the end of this Redshift book, you'll be able to implement a Redshift-based data analytics solution by adopting best-practice approaches for solving commonly faced problems.