Название: Amazon Redshift: The Definitive Guide: Jump-Start Analytics Using Cloud Data Warehousing
Автор: Rajesh Francis, Rajiv Gupta, Milind Oke
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 456
Язык: английский
Формат: epub (true)
Размер: 24.1 MB

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.

In today’s data-driven world, organizations are constantly looking to extract actionable business insights from the vast amount of data at their disposal and turn it into a competitive advantage by offering seamless experiences to their customers and streamlining business operations. The ability to efficiently store, manage, and enable access to data assets for all users in the organization in a secure and governed fashion is a critical requirement that requires rethinking the traditional data architectures. Cloud data warehousing has emerged as a central pillar of this modern data architecture in the past decade.

Amazon Redshift, developed by Amazon Web Services (AWS), has been at the forefront of this revolution ever since it was launched as the first cloud data warehouse in 2013, empowering businesses to scale their data warehousing and do it cost effectively unlocking the full potential of their data . Tens of thousands of organizations have adopted Amazon Redshift as the foundational data store for their modern data strategy to serve a wide spectrum of analytics requirements. As a data leader, I am thrilled to introduce this comprehensive guide to Amazon Redshift, which is written for both seasoned data professionals and those new to the world of cloud data warehousing.

In Amazon Redshift: The Definitive Guide, the authors take a solutions architecture approach and offer practical insights, best practices, and real-world examples that will enable you to harness the full power of this service. The authors have extensive experience building solutions for hundreds of customers of all types, from startups to global organizations. In particular, they’ve helped projects ranging from migrations from other data warehouses to Amazon Redshift and run then with high performance at scale, to delivering new analytics use cases such as real time analytics leveraging Redshift streaming ingestion and zero-ETL, building predictive analytics solutions using Redshift ML, and even go beyond to offer analytics as a service using powerful capabilities such as Redshift data sharing.

The book starts by laying the foundations of modern data strategy, explaining the fundamental concepts of data warehouse and architecture of Amazon Redshift. From there, the authors dive deep into key features of the service with relevant examples for data modeling, loading and transforming data including streaming ingestion, performance optimization, scaling, and security best practices. You will also find in-depth coverage of integration with other AWS services like Amazon SageMaker, Amazon Aurora ensuring you can leverage the broader AWS ecosystem to build robust and scalable data applications.

What sets this book apart is its practical approach. The authors have drawn upon their experience as solutions architects working with Amazon Redshift to provide real-world use cases that will help you build a scalable data architecture with best practices. From an executive seeking to make informed decisions about your organization’s data strategy, to a data engineer responsible for curating and managing data, or a data analyst looking to get business insights from your data, this book has something to offer for all types of readers.

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






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