Subscribe
  • Home
  • /
  • Storage
  • /
  • White paper: Storage for Big Data and Analytics Challenges

White paper: Storage for Big Data and Analytics Challenges


Johannesburg, 04 Jun 2018
Storage for Big Data and Analytics Challenges.
Storage for Big Data and Analytics Challenges.

Big Data and analytics workloads represent a new frontier for organisations. Data is being collected from sources that did not exist 10 years ago.

Mobile phone data, machine-generated data, and Web site interaction data are all being collected and analysed. In addition, as IT budgets are already being pressured down, Big Data footprints are getting larger and posing a huge storage challenge.

This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.

Big Data stresses storage infrastructure

Big Data applications have caused an explosion in the amount of data that an organisation needs to keep online and analyse.

This has caused the cost of storage as a percent of the overall IT budget to explode. A study recently performed among Big Data and analytics-driven organisations discovered these top five use cases for this data explosion:

1. Enhanced customer service and support.
2. Digital security, intrusion detection, fraud detection and prevention.
3. Operational analysis.
4. Big Data exploration.
5. Data warehouse augmentation.

Share