Big Data Storage Architecture: Categories, Strengths and Use Cases

Big Data Storage Architecture: Categories, Strengths and Use Cases

Cover

Big data storage architecture is changing to deal with the ever-growing volume of data companies are keeping and analyzing to gain a competitive advantage in the market. Today, organizations are looking for a storage architecture with enough bandwidth to handle large file sizes, that is able to scale up by adding spindles and is easier to scale out to billions of data objects.

Check out this expert e-guide to explore today’s best storage architectures built for big data. Read on to learn more about how distributed nodes, scale-out NAS, SSD arrays and object-based storage can all help conquer the challenges of big data.

Vendor:
Cray
Posted:
12 Sep 2013
Published:
12 Sep 2013
Format:
PDF
Length:
8 Page(s)
Type:
eGuide
Language:
English
Already a Bitpipe member? Login here

Download this eGuide!

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy