Designing Cloud Data Platforms

Centralized data warehouses are being replaced by multi-faceted cloud data platforms, which offer an integrated view of businesses and advanced analytic practices. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern, scalable data platform that takes advantage of the flexibility of the cloud. It covers core components, key technologies, cloud data management, security, and advanced analytic and BI tools.

Format: Paperback / softback
Length: 336 pages
Publication date: 04 June 2021
Publisher: Manning Publications

The traditional centralized data warehouses, once the de facto standard for storing data for analytics, are rapidly being replaced by versatile cloud data platforms. Companies that adopt modern cloud data platforms gain a comprehensive view of their business by utilizing all their data, enabling them to leverage advanced analytic techniques to drive predictions and create innovative data services.

This comprehensive guide, "Designing Cloud Data Platforms," provides practical insights and hands-on techniques for envisioning and designing a modern, scalable data platform that harnesses the full potential of the cloud. As you delve into the book, you will learn the essential components of a cloud data platform design, including the role of key technologies such as Spark and Kafka Streams. You will also explore the processes involved in managing cloud-based data, ensuring its security, and utilizing advanced analytic and BI tools to analyze it.

The advent of affordable, reliable, and serverless cloud services has transformed the way organizations approach data management. Companies of all sizes are eager to migrate to the cloud, seeking to leverage its scalable resources and enhance their data operations. However, without a well-designed data platform, data in the cloud can remain siloed and inaccessible, hindering the realization of its full potential.

"Designing Cloud Data Platforms" addresses this challenge by laying out the principles of a well-designed platform that utilizes the scalable resources of the public cloud to manage all an organization's data and present it as valuable business insights. Drawing on their extensive experience in designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner guide you through a six-step process, covering everything from data ingestion and integration to data visualization and governance.

By following the steps outlined in this book, you will gain the skills and knowledge necessary to build a robust and scalable cloud data platform that supports your organization's data-driven initiatives. Whether you are a data engineer, data scientist, or business leader, this book will provide you with the tools and strategies to unlock the full potential of your data and drive innovation in your industry.

So, whether you are looking to modernize your data infrastructure or embark on a cloud migration journey, "Designing Cloud Data Platforms" is the essential guide for achieving success in the world of cloud data platforms. Don't miss out on this opportunity to stay ahead of the curve and leverage the power of cloud computing to drive your business forward.

Weight: 628g
Dimension: 187 x 235 x 22 (mm)
ISBN-13: 9781617296444