[PDF] Amazon Redshift Cookbook - eBooks Review

Amazon Redshift Cookbook


Amazon Redshift Cookbook
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Amazon Redshift Cookbook


Amazon Redshift Cookbook
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Author : Shruti Worlikar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-04-25

Amazon Redshift Cookbook written by Shruti Worlikar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.


Set up a petabyte-scale, cloud-based data warehouse that is burstable and built to scale for end-to-end analytical solutions Key Features Learn how to translate familiar data warehousing concepts into Redshift implementation Use impressive Redshift features to optimize development, productionizing, and operation processes Find out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queries Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAmazon 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.What you will learn Integrate data warehouses with data lakes using AWS features Create end-to-end analytical solutions from sourcing to consumption Utilize Redshift's security for strict business requirements Apply architectural insights with analytical recipes Discover big data best practices for managed solutions Enable data sharing for data mesh and hub-and-spoke architectures Explore Redshift ML and generative AI with Amazon Q Who this book is for This book is for anyone involved in architecting, implementing, and optimizing an Amazon Redshift data warehouse, including data warehouse developers, data analysts, database administrators, data engineers, and data scientists. Basic knowledge of data warehousing, database systems, as well as cloud concepts and familiarity with Redshift is beneficial.



Amazon Redshift Cookbook


Amazon Redshift Cookbook
DOWNLOAD
Author : Shruti Worlikar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-04-25

Amazon Redshift Cookbook written by Shruti Worlikar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.


Set up a petabyte-scale, cloud-based data warehouse that is burstable and built to scale for end-to-end analytical solutions Key Features Learn how to translate familiar data warehousing concepts into Redshift implementation Use impressive Redshift features to optimize development, productionizing, and operation processes Find out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queries Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAmazon 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.What you will learn Integrate data warehouses with data lakes using AWS features Create end-to-end analytical solutions from sourcing to consumption Utilize Redshift's security for strict business requirements Apply architectural insights with analytical recipes Discover big data best practices for managed solutions Enable data sharing for data mesh and hub-and-spoke architectures Explore Redshift ML and generative AI with Amazon Q Who this book is for This book is for anyone involved in architecting, implementing, and optimizing an Amazon Redshift data warehouse, including data warehouse developers, data analysts, database administrators, data engineers, and data scientists. Basic knowledge of data warehousing, database systems, as well as cloud concepts and familiarity with Redshift is beneficial.



Amazon Redshift Cookbook


Amazon Redshift Cookbook
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Author : Shruti Worlikar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-07-23

Amazon Redshift Cookbook written by Shruti Worlikar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-23 with Computers categories.


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.



Data Engineering With Aws Cookbook


Data Engineering With Aws Cookbook
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Author : Tram Pham
language : en
Publisher: Packt Publishing
Release Date : 2024-10

Data Engineering With Aws Cookbook written by Tram Pham and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10 with Computers categories.


This book covers topics such as data lake management, pipeline orchestration, and serving layer construction. You'll also leverage key AWS services like Glue and EMR, while exploring best practices in data governance, DevOps, and IaC.



Data Engineering With Aws Cookbook


Data Engineering With Aws Cookbook
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Author : Trâm Ngọc Phạm
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-11-29

Data Engineering With Aws Cookbook written by Trâm Ngọc Phạm and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.


Master AWS data engineering services and techniques for orchestrating pipelines, building layers, and managing migrations Key Features Get up to speed with the different AWS technologies for data engineering Learn the different aspects and considerations of building data lakes, such as security, storage, and operations Get hands on with key AWS services such as Glue, EMR, Redshift, QuickSight, and Athena for practical learning Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPerforming data engineering with Amazon Web Services (AWS) combines AWS's scalable infrastructure with robust data processing tools, enabling efficient data pipelines and analytics workflows. This comprehensive guide to AWS data engineering will teach you all you need to know about data lake management, pipeline orchestration, and serving layer construction. Through clear explanations and hands-on exercises, you’ll master essential AWS services such as Glue, EMR, Redshift, QuickSight, and Athena. Additionally, you’ll explore various data platform topics such as data governance, data quality, DevOps, CI/CD, planning and performing data migration, and creating Infrastructure as Code. As you progress, you will gain insights into how to enrich your platform and use various AWS cloud services such as AWS EventBridge, AWS DataZone, and AWS SCT and DMS to solve data platform challenges. Each recipe in this book is tailored to a daily challenge that a data engineer team faces while building a cloud platform. By the end of this book, you will be well-versed in AWS data engineering and have gained proficiency in key AWS services and data processing techniques. You will develop the necessary skills to tackle large-scale data challenges with confidence.What you will learn Define your centralized data lake solution, and secure and operate it at scale Identify the most suitable AWS solution for your specific needs Build data pipelines using multiple ETL technologies Discover how to handle data orchestration and governance Explore how to build a high-performing data serving layer Delve into DevOps and data quality best practices Migrate your data from on-premises to AWS Who this book is for If you're involved in designing, building, or overseeing data solutions on AWS, this book provides proven strategies for addressing challenges in large-scale data environments. Data engineers as well as big data professionals looking to enhance their understanding of AWS features for optimizing their workflow, even if they're new to the platform, will find value. Basic familiarity with AWS security (users and roles) and command shell is recommended.



Macworld


Macworld
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Author :
language : en
Publisher:
Release Date : 1996

Macworld written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Macintosh (Computer) categories.




Publishers Directory


Publishers Directory
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Author : Cengage Gale
language : en
Publisher: Gale Cengage
Release Date : 2004-02

Publishers Directory written by Cengage Gale and has been published by Gale Cengage this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-02 with Business & Economics categories.


Gale's Publishers Directory is your one-stop resource for exhaustive coverage of approximately 30,000 U.S. and Canadian publishers, distributors and wholesalers. Organizations profiled in the Publishers Directory represent a broad spectrum of interests, including major publishing companies; small presses (in the traditional, literary sense); groups promoting special interests from ethnic heritage to alternative medical treatments; museums and societies in the arts, science, technology, history, and genealogy; divisions within universities that issues special publications in such fields as business, literature and climate studies; religious institutions; corporations that produce important publications related to their areas of specialization; government agencies; and electronic and database publishers.



Dynamodb Cookbook


Dynamodb Cookbook
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Author : Tanmay Deshpande
language : en
Publisher:
Release Date : 2015-09-13

Dynamodb Cookbook written by Tanmay Deshpande and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-13 with Computers categories.


Over 90 hands-on recipes to design Internet scalable web and mobile applications with Amazon DynamoDBAbout This Book• Construct top-notch mobile and web applications with the Internet scalable NoSQL database and host it on cloud• Integrate your applications with other AWS services like AWS EMR, AWS S3, AWS Redshift, and AWS CloudSearch etc. in order to achieve a one-stop application stack• Step-by-step implementation guide that provides real-world use with hands-on recipesWho This Book Is ForThis book is intended for those who have a basic understanding of AWS services and want to take their knowledge to the next level by getting their hands dirty with coding recipes in DynamoDB.What You Will Learn• Design DynamoDB tables to achieve high read and write throughput• Discover best practices like caching, exponential back-offs and auto-retries, storing large items in AWS S3, storing compressed data etc.• Effectively use DynamoDB Local in order to make your development smooth and cost effective• Implement cost effective best practices to reduce the burden of DynamoDB charges• Create and maintain secondary indexes to support improved data access• Integrate various other AWS services like AWS EMR, AWS CloudSearch, AWS Pipeline etc. with DynamoDBIn DetailAWS DynamoDB is an excellent example of a production-ready NoSQL database. In recent years, DynamoDB has been able to attract many customers because of its features like high-availability, reliability and infinite scalability. DynamoDB can be easily integrated with massive data crunching tools like Hadoop /EMR, which is an essential part of this data-driven world and hence it is widely accepted. The cost and time-efficient design makes DynamoDB stand out amongst its peers. The design of DynamoDB is so neat and clean that it has inspired many NoSQL databases to simply follow it.This book will get your hands on some engineering best practices DynamoDB engineers use, which can be used in your day-to-day life to build robust and scalable applications. You will start by operating with DynamoDB tables and learn to manipulate items and manage indexes. You will also discover how to easily integrate applications with other AWS services like EMR, S3, CloudSearch, RedShift etc. A couple of chapters talk in detail about how to use DynamoDB as a backend database and hosting it on AWS ElasticBean. This book will also focus on security measures of DynamoDB as well by providing techniques on data encryption, masking etc.By the end of the book you'll be adroit in designing web and mobile applications using DynamoDB and host it on cloud.Style and approachAn easy-to-follow guide, full of real-world examples, which takes you through the world of DynamoDB following a step-by-step, problem-solution based approach.



Macuser


Macuser
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Author :
language : en
Publisher:
Release Date : 1996

Macuser written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Macintosh (Computer) categories.




Multimedia World


Multimedia World
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Author :
language : en
Publisher:
Release Date : 1995

Multimedia World written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Microcomputers categories.