Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Introduction to Data Platforms : How to leverage data fabric concepts to engineer your organization's data for today's cloud-based digital world, EPUB eBook

Introduction to Data Platforms : How to leverage data fabric concepts to engineer your organization's data for today's cloud-based digital world EPUB

EPUB

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

Digital, cloud, and artificial intelligence (AI) have disrupted how we use data. This disruption has changed the way we need to provision, curate, and publish data for the multiple use cases in today's technology-driven environment. This text will cover how to design, develop, and evolve a data platform for all the uses of enterprise data needed in today's digital organization.

This book focuses on explaining what a data platform is, what value it provides, how is it engineered, and how to deploy a data platform and support organization. In this context, Introduction to Data Platforms

reviews the current requirements for data in the digital age and quantifies the use cases;

discusses the evolution of data over the past twenty years, which is a core driver of the modern data platform;

defines what a data platform is and defines the architectural components and layers of a data platform;

provides the architectural layers or capabilities of a data platform;

reviews cloud- and commercial-software vendors that populate the data-platform space;

provides a step-by-step approach to engineering, deploying, supporting, and evolving a data-platform environment;

provides a step-by-step approach to migrating legacy data warehouses, data marts, and data lakes/sandboxes to a data platform; and

reviews organizational structures for managing data platform environments.

Information

Information