Designing Cloud Data Platforms
Designing Cloud Data Platforms
by Danil Zburivsky
English | 2021 | ISBN: 1617296449 | 337 Pages | PDF True | 8 MB
by Danil Zburivsky
English | 2021 | ISBN: 1617296449 | 337 Pages | PDF True | 8 MB
Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it.