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Website hosting and migration with Amazon Web Services : a practical guide to moving your website to AWS
\"[This book teaches how] to host your website using the Amazon Web Services (AWS) platform. You will be able to set up your website for the first time or migrate your existing website. Explore scenarios, considerations, and steps for three types of websites, including hosting a static website, a content management system (CMS) based website, and a full-featured enterprise level website. Topic areas such as content storage in S3, compute resources in EC2, Route53 DNS Management, email services setup using Simple Email Service as well as strategies for high availability, fault tolerance, and website maintenance are covered.\"--Page 4 of cover.
BOOK
Data Wrangling on AWS
Revamp your data landscape and implement highly effective data pipelines in AWS with this hands-on guide Purchase of the print or Kindle book includes a free PDF eBook
Key Features
Execute extract, transform, and load (ETL) tasks on data lakes, data warehouses, and databasesImplement effective Pandas data operation with data wranglerIntegrate pipelines with AWS data services
Book Description
Data wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format. It involves processes such as data cleaning, data integration, data transformation, and data enrichment to ensure that the data is accurate, consistent, and suitable for analysis. Data Wrangling on AWS equips you with the knowledge to reap the full potential of AWS data wrangling tools. First, you’ll be introduced to data wrangling on AWS and will be familiarized with data wrangling services available in AWS. You’ll understand how to work with AWS Glue DataBrew, AWS data wrangler, and AWS Sagemaker. Next, you’ll discover other AWS services like Amazon S3, Redshift, Athena, and Quicksight. Additionally, you’ll explore advanced topics such as performing Pandas data operation with AWS data wrangler, optimizing ML data with AWS SageMaker, building the data warehouse with Glue DataBrew, along with security and monitoring aspects. By the end of this book, you’ll be well-equipped to perform data wrangling using AWS services.
What you will learn
Explore how to write simple to complex transformations using AWS data wranglerUse abstracted functions to extract and load data from and into AWS datastoresConfigure AWS Glue DataBrew for data wranglingDevelop data pipelines using AWS data wranglerIntegrate AWS security features into Data Wrangler using identity and access management (IAM)Optimize your data with AWS SageMaker
Who this book is for
This book is for data engineers, data scientists, and business data analysts looking to explore the capabilities, tools, and services of data wrangling on AWS for their ETL tasks. Basic knowledge of Python, Pandas, and a familiarity with AWS tools such as AWS Glue, Amazon Athena is required to get the most out of this book.
eBook
Amazon Web Services in action
\"The largest and most mature of the cloud platforms, AWS offers over 100 prebuilt services, practically limitless compute resources, bottomless secure storage, as well as top-notch automation capabilities. This book shows you how to develop, host, and manage applications on AWS. Amazon Web Services in Action, Second Edition is a comprehensive introduction to deploying web applications in the AWS cloud. You'll find clear, relevant coverage of all essential AWS services, with a focus on automation, security, high availability, and scalability. This thoroughly revised edition covers the latest additions to AWS, including serverless infrastructure with AWS Lambda, sharing data with EFS, and in-memory storage with ElastiCache.\"--Back cover.
Book
Mastering SQL Server RDS on AWS
Learn SQL Server on AWS RDS from the experts with this course for all experience levels, covering database deployment, optimization, security, and high availability. This course is perfect for recent graduates, DBAs, and IT pros! Key Features: . Explore SQL Server database setup, performance optimization, data security, and high availabilityIndulge in real-world examples and case studies on SQL Server on AWS RDS in practical scenariosGain the ability to troubleshoot common issues that arise when working with SQL Server on AWS RDS. course Description: SQL Server on AWS RDS refers to the deployment of Microsoft SQL Server on Amazon Web Services (AWS) Relational Database Service (RDS), a managed database service that simplifies database administration tasks such as setup, patching, monitoring, and backups. You can use AWS’s cloud infrastructure to host, manage, and scale your SQL Server databases. The course begins with the fundamentals of setting up an RDS instance for SQL Server and creating and managing databases. The course delves into essential aspects such as performance optimization through indexing and query stores. It . Explores data security measures with backup and disaster recovery solutions, including authentication, authorization, and encryption. We will learn to achieve high availability using Multi-AZ deployments and Read Replicas and gain skills in troubleshooting common issues that may arise when working with SQL Server on AWS RDS. This course equips us with the expertise to manage databases in a cloud environment effectively. Upon completing the course, we will deeply understand deploying, managing, and optimizing SQL Server databases on the AWS RDS platform. With expertise in database setup, performance tuning, data security, and high availability strategies, be well-prepared to work with SQL Server in the cloud. What you will learn: Deploy and manage SQL Server databases on AWS RDS. Learn performance optimization with indexing and query storeImplement data security authentication, authorization, and encryption. Set up backup/disaster recovery solutions for SQL Server databases. Achieve high availability by Multi-AZ deployments and Read ReplicasLearn practical troubleshooting skills for common SQL Server RDS issues. Who this course is for: This course is designed to benefit a broad audience, including recent college graduates looking to start a career in database administration, experienced Database Administrators (DBAs) aiming to specialize in SQL Server on AWS RDS, and IT professionals seeking to enhance their skills in cloud-based database management. This course equips individuals at different stages of their careers with the knowledge and practical skills to excel in deploying, managing, and optimizing SQL Server on the AWS RDS platform. Basic familiarity with Microsoft SQL Server is desirable but is not strictly required.
Streaming Video
Hands-On Artificial Intelligence on Amazon Web Services
Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly
Key Features
* Explore popular machine learning and deep learning services with their underlying algorithms
* Discover readily available artificial intelligence(AI) APIs on AWS like Vision and Language Services
* Design robust architectures to enable experimentation, extensibility, and maintainability of AI apps
Book Description
From data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AWS.
With this book, you'll work through hands-on exercises and learn to use these services to solve real-world problems. You'll even design, develop, monitor, and maintain machine and deep learning models on AWS.
The book starts with an introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services. You'll then get to grips with detecting and translating text with Amazon Rekognition and Amazon Translate. The book will assist you in performing speech-to-text with Amazon Transcribe and Amazon Polly. Later, you'll discover the use of Amazon Comprehend for extracting information from text, and Amazon Lex for building voice chatbots. You will also understand the key capabilities of Amazon SageMaker such as wrangling big data, discovering topics in text collections, and classifying images. Finally, you'll cover sales forecasting with deep learning and autoregression, before exploring the importance of a feedback loop in machine learning.
By the end of this book, you will have the skills you need to implement AI in AWS through hands-on exercises that cover all aspects of the ML model life cycle.
What you will learn
* Gain useful insights into different machine and deep learning models
* Build and deploy robust deep learning systems to production
* Train machine and deep learning models with diverse infrastructure specifications
* Scale AI apps without dealing with the complexity of managing the underlying infrastructure
* Monitor and Manage AI experiments efficiently
* Create AI apps using AWS pre-trained AI services
Who this book is for
This book is for data scientists, machine learning developers, deep learning researchers, and artificial intelligence enthusiasts who want to harness the power of AWS to implement powerful artificial intelligence solutions. A basic understanding of machine learning concepts is expected.
eBook
Chatbots development with Amazon Lex
This beginner’s course for chatbots teaches the basics of chatbots with AWS Lex and AWS Lambda. You will gain hands-on experience building functional chatbots and explore the concepts of building and testing chatbots with AWS. About This Video: Learn AWS Lex and Lambda basics and applications of chatbots and build them with hands-on practice. Develop chatbots with AWS Lex and AWS Lambda and test and implement chatbots in real-world apps. Learn essential chatbot integration with Twilio and Boto-3, and integrate websites with the chatbots. In Detail: Amazon Lex, a fully-controlled AI service, has sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications. Amazon Web Service (AWS) provides AWS Lambda, a serverless computing service without provisioning or managing servers. The course begins with an exhaustive overview of the fundamentals of AWS for chatbots, training chatbot development with deep learning. Afterward, we will delve into the characteristics of AWS and its notable functionalities. Following this, we will embark on constructing a chatbot for hotel booking utilizing Amazon Lex. Subsequently, we will acquire the skills to establish an AWS Lambda function and establish its connection with Amazon Lex. Then, we will cover the concepts of chatbot backend development for AWS Lex and AWS Lambda. We will further advance to integrate the chatbot with Twilio and learn to use the AWS Software Development Kit. Website integration of AWS Lex chatbot and implementing response cards with chatbots is the final concept that we will explore in the course. Upon completing this course, you will relate concepts and theories for chatbots in various domains, gain extensive understanding, and learn to implement AWS Lex and AWS Lambda for building real-world chatbots. You will independently build customized chatbots with AWS Lex and AWS Lambda and integrate your chatbots with WhatsApp, messaging apps, and websites. All resources are available at GitHub.
Streaming Video
AWS Certified Solutions Architect - Associate Guide
With rapid adaptation of the cloud platform, the need for cloud certification has also increased. This is your one stop solution and will help you transform yourself from zero to certified. This guide will help you gain technical expertise in the AWS platform and help you start working with various AWS Services.
eBook