Amazon Redshift Cookbook: Recipes for building modern data warehousing solutions
暫譯: Amazon Redshift 食譜:構建現代數據倉儲解決方案的配方
Worlikar, Shruti, Arumugam, Thiyagarajan, Patel, Harshida
- 出版商: Packt Publishing
- 出版日期: 2021-07-23
- 售價: $2,220
- 貴賓價: 9.5 折 $2,109
- 語言: 英文
- 頁數: 384
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1800569688
- ISBN-13: 9781800569683
海外代購書籍(需單獨結帳)
商品描述
Key Features
- Discover how to translate familiar data warehousing concepts into Redshift implementation
- Use impressive Redshift features to optimize development, productionizing, and operations processes
- Find out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queries
Book 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 learn
- Use Amazon Redshift to build petabyte-scale data warehouses that are agile at scale
- Integrate your data warehousing solution with a data lake using purpose-built features and services on AWS
- Build end-to-end analytical solutions from data sourcing to consumption with the help of useful recipes
- Leverage Redshift's comprehensive security capabilities to meet the most demanding business requirements
- Focus on architectural insights and rationale when using analytical recipes
- Discover best practices for working with big data to operate a fully managed solution
Who 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.
商品描述(中文翻譯)
**主要特點**
- 探索如何將熟悉的資料倉儲概念轉換為 Redshift 實作
- 使用令人印象深刻的 Redshift 功能來優化開發、產品化和運營流程
- 瞭解如何使用高級功能,如併發擴展、Redshift Spectrum 和聯合查詢
**書籍描述**
Amazon Redshift 是一個完全管理的、可擴展至百萬兆位的 AWS 雲端資料倉儲服務。它使您能夠在 AWS 上建立新的資料倉儲工作負載,並將本地傳統資料倉儲平台遷移至 Redshift。
本書專注於 Amazon Redshift,首先介紹 Redshift 架構,展示如何在 Redshift 上執行資料庫管理任務。接著,您將學習如何優化您的資料倉儲,以快速執行針對非常大數據集的複雜分析查詢。由於資料倉儲涉及大量數據,為分析處理設計資料庫可以讓您充分利用 Redshift 的列式架構和管理服務。隨著學習的深入,您將發現如何部署完全自動化且高度可擴展的提取、轉換和加載(ETL)流程,這有助於最小化您在管理常規 ETL 管道上所需投入的運營努力,並確保您的資料倉儲及時且準確地更新。最後,您將清楚了解 Redshift 的使用案例、數據攝取、數據管理、安全性和擴展性,以便建立可擴展的資料倉儲平台。
在本書結束時,您將能夠實施基於 Redshift 的數據分析解決方案,並理解針對常見問題的最佳實踐解決方案。
**您將學到的內容**
- 使用 Amazon Redshift 建立可擴展至百萬兆位的靈活資料倉儲
- 利用 AWS 上專門設計的功能和服務,將您的資料倉儲解決方案與數據湖整合
- 從數據來源到消費,利用有用的食譜構建端到端的分析解決方案
- 利用 Redshift 的全面安全功能來滿足最苛刻的商業需求
- 在使用分析食譜時,專注於架構見解和理由
- 探索處理大數據的最佳實踐,以運行完全管理的解決方案
**本書適合誰**
本書適合任何參與設計、實施和優化 Amazon Redshift 資料倉儲的人士,例如資料倉儲開發人員、資料分析師、資料庫管理員、資料工程師和資料科學家。具備資料倉儲、資料庫系統和雲端概念的基本知識,以及對 Redshift 的熟悉將會有所幫助。