Serverless Machine Learning with Amazon Redshift ML PDF Download
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Author: Debu Panda
Publisher: Packt Publishing Ltd
ISBN: 1804619698
Category : Computers
Languages : en
Pages : 290
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Book Description
Supercharge and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale Key Features Leverage supervised learning to build binary classification, multi-class classification, and regression models Learn to use unsupervised learning using the K-means clustering method Master the art of time series forecasting using Redshift ML Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAmazon Redshift Serverless enables organizations to run petabyte-scale cloud data warehouses quickly and in a cost-effective way, enabling data science professionals to efficiently deploy cloud data warehouses and leverage easy-to-use tools to train models and run predictions. This practical guide will help developers and data professionals working with Amazon Redshift data warehouses to put their SQL knowledge to work for training and deploying machine learning models. The book begins by helping you to explore the inner workings of Redshift Serverless as well as the foundations of data analytics and types of data machine learning. With the help of step-by-step explanations of essential concepts and practical examples, you’ll then learn to build your own classification and regression models. As you advance, you’ll find out how to deploy various types of machine learning projects using familiar SQL code, before delving into Redshift ML. In the concluding chapters, you’ll discover best practices for implementing serverless architecture with Redshift. By the end of this book, you’ll be able to configure and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale.What you will learn Utilize Redshift Serverless for data ingestion, data analysis, and machine learning Create supervised and unsupervised models and learn how to supply your own custom parameters Discover how to use time series forecasting in your data warehouse Create a SageMaker endpoint and use that to build a Redshift ML model for remote inference Find out how to operationalize machine learning in your data warehouse Use model explainability and calculate probabilities with Amazon Redshift ML Who this book is forData scientists and machine learning developers working with Amazon Redshift who want to explore its machine-learning capabilities will find this definitive guide helpful. A basic understanding of machine learning techniques and working knowledge of Amazon Redshift is needed to make the most of this book.
Author: Debu Panda
Publisher: Packt Publishing Ltd
ISBN: 1804619698
Category : Computers
Languages : en
Pages : 290
Get Book Here
Book Description
Supercharge and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale Key Features Leverage supervised learning to build binary classification, multi-class classification, and regression models Learn to use unsupervised learning using the K-means clustering method Master the art of time series forecasting using Redshift ML Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAmazon Redshift Serverless enables organizations to run petabyte-scale cloud data warehouses quickly and in a cost-effective way, enabling data science professionals to efficiently deploy cloud data warehouses and leverage easy-to-use tools to train models and run predictions. This practical guide will help developers and data professionals working with Amazon Redshift data warehouses to put their SQL knowledge to work for training and deploying machine learning models. The book begins by helping you to explore the inner workings of Redshift Serverless as well as the foundations of data analytics and types of data machine learning. With the help of step-by-step explanations of essential concepts and practical examples, you’ll then learn to build your own classification and regression models. As you advance, you’ll find out how to deploy various types of machine learning projects using familiar SQL code, before delving into Redshift ML. In the concluding chapters, you’ll discover best practices for implementing serverless architecture with Redshift. By the end of this book, you’ll be able to configure and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale.What you will learn Utilize Redshift Serverless for data ingestion, data analysis, and machine learning Create supervised and unsupervised models and learn how to supply your own custom parameters Discover how to use time series forecasting in your data warehouse Create a SageMaker endpoint and use that to build a Redshift ML model for remote inference Find out how to operationalize machine learning in your data warehouse Use model explainability and calculate probabilities with Amazon Redshift ML Who this book is forData scientists and machine learning developers working with Amazon Redshift who want to explore its machine-learning capabilities will find this definitive guide helpful. A basic understanding of machine learning techniques and working knowledge of Amazon Redshift is needed to make the most of this book.
Author: Gareth Eagar
Publisher: Packt Publishing Ltd
ISBN: 1804613134
Category : Computers
Languages : en
Pages : 637
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Book Description
Looking to revolutionize your data transformation game with AWS? Look no further! From strong foundations to hands-on building of data engineering pipelines, our expert-led manual has got you covered. Key Features Delve into robust AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Stay up to date with a comprehensive revised chapter on Data Governance Build modern data platforms with a new section covering transactional data lakes and data mesh Book DescriptionThis book, authored by a seasoned Senior Data Architect with 25 years of experience, aims to help you achieve proficiency in using the AWS ecosystem for data engineering. This revised edition provides updates in every chapter to cover the latest AWS services and features, takes a refreshed look at data governance, and includes a brand-new section on building modern data platforms which covers; implementing a data mesh approach, open-table formats (such as Apache Iceberg), and using DataOps for automation and observability. You'll begin by reviewing the key concepts and essential AWS tools in a data engineer's toolkit and getting acquainted with modern data management approaches. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how that transformed data is used by various data consumers. You’ll learn how to ensure strong data governance, and about populating data marts and data warehouses along with how a data lakehouse fits into the picture. After that, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. Then, you'll explore how the power of machine learning and artificial intelligence can be used to draw new insights from data. In the final chapters, you'll discover transactional data lakes, data meshes, and how to build a cutting-edge data platform on AWS. By the end of this AWS book, you'll be able to execute data engineering tasks and implement a data pipeline on AWS like a pro!What you will learn Seamlessly ingest streaming data with Amazon Kinesis Data Firehose Optimize, denormalize, and join datasets with AWS Glue Studio Use Amazon S3 events to trigger a Lambda process to transform a file Load data into a Redshift data warehouse and run queries with ease Visualize and explore data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Build transactional data lakes using Apache Iceberg with Amazon Athena Learn how a data mesh approach can be implemented on AWS Who this book is forThis book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts, while gaining practical experience with common data engineering services on AWS, will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book, but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.
Author: Rajesh Francis
Publisher: "O'Reilly Media, Inc."
ISBN: 1098135261
Category :
Languages : en
Pages : 523
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Book Description
Amazon Redshift powers analytic cloud data warehouses worldwide, from startups to some of the largest enterprise data warehouses available today. This practical guide thoroughly examines this managed service and demonstrates how you can use it to extract value from your data immediately, rather than go through the heavy lifting required to run a typical data warehouse. Analytic specialists Rajesh Francis, Rajiv Gupta, and Milind Oke detail Amazon Redshift's underlying mechanisms and options to help you explore out-of-the box automation. Whether you're a data engineer who wants to learn the art of the possible or a DBA looking to take advantage of machine learning-based auto-tuning, this book helps you get the most value from Amazon Redshift. By understanding Amazon Redshift features, you'll achieve excellent analytic performance at the best price, with the least effort. This book helps you: Build a cloud data strategy around Amazon Redshift as foundational data warehouse Get started with Amazon Redshift with simple-to-use data models and design best practices Understand how and when to use Redshift Serverless and Redshift provisioned clusters Take advantage of auto-tuning options inherent in Amazon Redshift and understand manual tuning options Transform your data platform for predictive analytics using Redshift ML and break silos using data sharing Learn best practices for security, monitoring, resilience, and disaster recovery Leverage Amazon Redshift integration with other AWS services to unlock additional value
Author: Sidhartha Chauhan
Publisher: John Wiley & Sons
ISBN: 1119439906
Category : Computers
Languages : en
Pages : 679
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Book Description
The official study guide for the AWS certification specialty exam The AWS Certified Advanced Networking Official Study Guide – Specialty Exam helps to ensure your preparation for the AWS Certified Advanced Networking – Specialty Exam. Expert review of AWS fundamentals align with the exam objectives, and detailed explanations of key exam topics merge with real-world scenarios to help you build the robust knowledge base you need to succeed on the exam—and in the field as an AWS Certified Networking specialist. Coverage includes the design, implementation, and deployment of cloud-based solutions; core AWS services implementation and knowledge of architectural best practices; AWS service architecture design and maintenance; networking automation; and more. You also get one year of free access to Sybex’s online interactive learning environment and study tools, which features flashcards, a glossary, chapter tests, practice exams, and a test bank to help you track your progress and gauge your readiness as exam day grows near. The AWS credential validates your skills surrounding AWS and hybrid IT network architectures at scale. The exam assumes existing competency with advanced networking tasks, and assesses your ability to apply deep technical knowledge to the design and implementation of AWS services. This book provides comprehensive review and extensive opportunities for practice, so you can polish your skills and approach exam day with confidence. Study key exam essentials with expert insight Understand how AWS skills translate to real-world solutions Test your knowledge with challenging review questions Access online study tools, chapter tests, practice exams, and more Technical expertise in cloud computing, using AWS, is in high demand, and the AWS certification shows employers that you have the knowledge and skills needed to deliver practical, forward-looking cloud-based solutions. The AWS Certified Advanced Networking Official Study Guide – Specialty Exam helps you learn what you need to take this next big step for your career.
Author: Nouman Ahmed Khan
Publisher: IPSpecialist
ISBN:
Category : Computers
Languages : en
Pages : 736
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Book Description
The AWS Certified Cloud Practitioner (CLF-C01) examination is intended for individuals who have the knowledge and skills necessary to effectively demonstrate an overall understanding of the AWS Cloud. Those who are independent of specific technical roles addressed by other AWS certifications (e.g., Solutions Architect - Associate, Developer - Associate, or SysOps Administrator - Associate). This exam enables individuals to validate their knowledge of the AWS Cloud with an industry-recognized credential. This exam measures your ability to accomplish the following technical tasks: Cloud Concepts and Technology Security in the Cloud Advanced AWS Concepts Billing and Pricing
Author: Oluyemi James Odeyinka
Publisher: BPB Publications
ISBN: 9355516533
Category : Computers
Languages : en
Pages : 419
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Book Description
How to automate AWS Cloud using Terraform IaC best practices KEY FEATURES ● Learn how to create and deploy AWS Cloud Resources using Terraform IaC. ● Manage large and complex AWS infrastructures. ● Manage diverse storage options like S3 and EBS for optimal performance and cost-efficiency. DESCRIPTION AWS Cloud Automation allows organizations to effortlessly organize and handle their cloud resources. Terraform, an open-source provisioning tool, transforms the old manual way of doing things by allowing users to define, deploy, and maintain infrastructure as code, ensuring consistency, scalability, and efficiency. This book explains AWS Cloud Automation using Terraform, which is a simple and clear syntax that lets users define the infrastructure needs. Terraform simplifies setting up and managing infrastructure, reducing errors and fostering team collaboration. It enables version control, letting you monitor changes and implement CI/CD pipelines, effortlessly. The book guides you in creating and managing AWS resources through a simple configuration file, allowing you to define virtual machines, networks, databases, and more. Discover how Terraform makes organizing infrastructure code easy, promoting reusability and simple maintenance with consistent patterns across projects and teams. This book will empower readers of AWS Cloud Automation to embrace a modern, scalable, and efficient approach to managing cloud infrastructure. By combining the power of Terraform with the flexibility of AWS. WHAT YOU WILL LEARN ● Implement automated workflows with Terraform in CI/CD pipelines, for consistent and reliable deployments. ● Secure your cloud environment with robust Identity and Access Management (IAM) policies. ● Build and deploy highly available and scalable applications using EC2, VPC, and ELB. ● Automate database deployments and backups with RDS and DynamoDB for worry-free data management. ● Implement serverless architectures with EKS and Fargate for agile and cost-effective development. WHO THIS BOOK IS FOR This book is crafted for both aspiring and seasoned infrastructure enthusiasts, cloud architects, solution architects , SysOps Administrators, and DevOps professionals ready to apply the power of Terraform as their AWS go-to Infrastructure as Code (IaC) tool. TABLE OF CONTENTS 1. AWS DevOps and Automation Tools Set 2. AWS Terraform Setup 3. IAM, Governance and Policies Administration 4. Automating AWS Storage Deployment and Configuration 5. VPC and Network Security Tools Automation 6. Automating EC2 Deployment of various Workloads 7. Automating ELB Deployment and Configurations 8. AWS Route53 Policy and Routing Automation 9. AWS EKS and Fargate Deployments 10. Databases and Backup Services Automation 11. Automating and Bootstrapping Monitoring Service
Author: Shruti Worlikar
Publisher: Packt Publishing Ltd
ISBN: 1800561849
Category : Computers
Languages : en
Pages : 384
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Book Description
Discover how to build a cloud-based data warehouse at petabyte-scale that is burstable and built to scale for end-to-end analytical solutions Key FeaturesDiscover how to translate familiar data warehousing concepts into Redshift implementationUse impressive Redshift features to optimize development, productionizing, and operations processesFind out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queriesBook Description 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. What you will learnUse Amazon Redshift to build petabyte-scale data warehouses that are agile at scaleIntegrate your data warehousing solution with a data lake using purpose-built features and services on AWSBuild end-to-end analytical solutions from data sourcing to consumption with the help of useful recipesLeverage Redshift's comprehensive security capabilities to meet the most demanding business requirementsFocus on architectural insights and rationale when using analytical recipesDiscover best practices for working with big data to operate a fully managed solutionWho this book is for This book is for anyone involved in architecting, implementing, and optimizing an Amazon Redshift data warehouse, such as data warehouse developers, data analysts, database administrators, data engineers, and data scientists. Basic knowledge of data warehousing, database systems, and cloud concepts and familiarity with Redshift will be beneficial.
Author: Jorge T. Negron
Publisher: John Wiley & Sons
ISBN: 1119813115
Category : Computers
Languages : en
Pages : 631
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Book Description
Prepare for success on the AWS SysOps exam, your next job interview, and in the field with this handy and practical guide The newly updated Third Edition of AWS Certified SysOps Administrator Study Guide: Associate (SOA-C02) Exam prepares you for the Amazon Web Services SysOps Administrator certification and a career in the deployment, management, and operation of an AWS environment. Whether you’re preparing for your first attempt at the challenging SOA-C02 Exam, or you want to upgrade your AWS SysOps skills, this practical Study Guide delivers the hands-on skills and best practices instruction you need to succeed on the test and in the field. You’ll get: Coverage of all of the SOA-C02 exam’s domains, including monitoring, logging, remediation, reliability, business continuity, and more Instruction that’s tailor-made to achieve success on the certification exam, in an AWS SysOps job interview, and in your next role as a SysOps administrator Access to the Sybex online study tools, with chapter review questions, full-length practice exams, hundreds of electronic flashcards, and a glossary of key terms The AWS Certified SysOps Administrator Study Guide: Associate (SOA-C02) Exam includes all the digital and offline tools you need to supercharge your career as an AWS Certified SysOps Administrator.
Author: Patrick Sard
Publisher: Packt Publishing Ltd
ISBN: 1801815070
Category : Computers
Languages : en
Pages : 429
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Book Description
Become an AWS Solutions Architect Professional with this latest AWS (SAP-C02) exam guide Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tips, and the eBook PDF Key Features Explore content meticulously aligned with AWS (SAP-C02) exam objectives Challenge your knowledge through mock tests with exam-level difficulty Gain expert insights and learn best practices for optimizing your cloud solutions from experienced AWS practitioners Book DescriptionKnown for its difficulty and ranking among the highest-paying IT certifications, the AWS Certified Solutions Architect Professional (SAP-C02) certification demands significant hands-on experience for success. This comprehensive guide reinforces your knowledge and enhances your skills in various solution architectures and services. Additionally, you’ll gain lifetime access to supplementary practice resources such as mock exams, flashcards, and exam tips from experts. Aligned with exam objectives, this AWS certification study guide helps you assess your knowledge through timed mock tests that simulate exam conditions. Beyond exam preparation, you’ll develop advanced skills in designing distributed systems on AWS cloud and become proficient in providing architectural recommendations for complex application implementation, and enhancing infrastructure efficiency. As you advance, you’ll gain insights into how to foster unique thinking and factor diverse considerations while architecting solutions. You’ll also get to grips with designing multi-tier applications, deploying enterprise-grade operations, and migrating complex applications to AWS. By the end of this book, you’ll be able to design and deploy innovative solutions on AWS, unlocking new opportunities and driving success in the dynamic world of cloud computing.What you will learn Design and deploy fully secure, dynamically scalable, highly available, fault-tolerant, and reliable apps on AWS Integrate on-premises environments seamlessly with AWS resources Select appropriate architecture patterns and AWS services for designing and deploying complex applications Continuously improve solution architectures for security, reliability, performance, operational excellence, and cost-efficiency Plan and execute migrations of complex applications to AWS Implement cost-control strategies to deliver cost-effective solutions on AWS Who this book is for This book is for seasoned IT professionals adept at crafting and implementing cloud architecture on AWS. Familiarity with the AWS platform and services is essential. You'll grasp the content more effectively if you have at least 2 years of hands-on experience in AWS-based applications.
Author: Vathsala Periyasamy
Publisher: Libertatem Media Private Limited
ISBN: 8197138222
Category : Computers
Languages : en
Pages : 79
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Book Description
Join us as we begin our detailed exploration of AWS security in this extensive guide. As cloud computing continues to transform, offering adaptable, flexible, and cost-effective solutions, the importance of security within this realm has significantly increased. This manuscript is a comprehensive exploration of AWS security, a crucial element that strengthens all aspects of cloud operations, from infrastructure to application tiers, ensuring you have a complete understanding of the topic. This book is crafted to cater to novices and seasoned experts in cloud security. We commence by establishing a fundamental comprehension of AWS's framework and the intrinsic security protocols interwoven within it. We scrutinize distinct AWS services, dissecting their functions, potential susceptibilities, and optimal methodologies for fortifying them. Each segment is tailored to furnish you with pragmatic insights and executable tactics to strengthen the security stance of your AWS environments. Whether you are a security custodian, an IT expert, or a corporate leader overseeing cloud ventures, this compendium will be your invaluable resource. It combines scholarly perspectives, real-world examples, and detailed explanations to help you navigate the complexities of AWS security. By the end of this compendium, you will not only have a solid understanding of how to establish resilient security frameworks and adhere to regulations, but also practical, actionable strategies to protect your organization's data from emerging threats in the cloud environment. We aspire to cultivate a profound insight into cloud security tenets, enabling you to make judicious determinations and adeptly mitigate risks. Embark on this odyssey towards mastering AWS security, certifying that you and your cohort are well-equipped to safeguard your cloud assets and bolster your organization's strategic aims in the cloud-centric era.
