Abstract
In the era of Big Data managing disparate storage solutions for structured data (databases, log files, text, value based data) and unstructured data (audio, documents, emails, images, video) has become challenging for IT Organizations. A key feature of managing big data is through using Object Storage's rich metadata system, which allows you to store unstructured, semi-structured, and structured data on any combination of standard x86 server hardware and is scalable to petabytes and billions of files at the lowest ongoing TCO of ownership storage system and yet is instantly and easily query-able with full search functionality, to meet with your online business demands.
Object Storage allows users to easily store, search and retrieve data across the Internet. This is object-based storage's strengths in automating and streamlining data storage in cloud environments while store unstructured, semi-structured, and structured data on the same storage system
Learning Objectives
Learn how Object storage has started to play a fundamental role in adding metadata for handling predictive analytics in massive amounts of structured and unstructured big data
Learn how growth of unstructured causes issues that are being addressed by Object Storage in a score of online business, media and scientific applications