数据虚拟化:多源异构数据集成之道(大数据时代下多源异构数据集成的一项新技术数据虚拟化) (Chinese Edition)
I will be using this book for:

数据虚拟化:多源异构数据集成之道(大数据时代下多源异构数据集成的一项新技术数据虚拟化) (Chinese Edition)

by 趙國鋒, 李新, 李扬, 刘媛妮, 程新洲, 李明欣

Technology Big Data Data Integration
1 Star 2 Star 3 Star 4 Star 5 Star
0.0 out of 5 stars (0 ratings)

In the big data era, data virtualization offers a novel solution for integrating multi-source heterogeneous data. This Chinese edition explores the technology's core concepts, benefits, and applications, empowering readers to handle diverse data efficiently without physical movement or duplication. Ideal for IT professionals seeking innovative data management strategies.

About This Book

Data virtualization represents a groundbreaking method for integrating diverse data sources in today's big data landscape. It enables seamless access to heterogeneous data without the need for traditional data warehousing.

The book delves into the principles and practices of this technology, highlighting its advantages in efficiency and flexibility for modern enterprises.

Authors provide insights into implementation strategies, making it a valuable resource for professionals navigating complex data environments.

Through theoretical foundations and practical applications, readers gain a comprehensive understanding of how data virtualization transforms data integration challenges into opportunities.

Reviews

No reviews yet. Be the first to review this book!


Write a Review
I will be using this book for: