Data Storage Considerations for Security Analytics
Log analytics has taken increasing importance over the years. In particular, applications that use log analytics have provided key new capabilities for security operations teams within IT organizations. The many log analytics use cases can all benefit from scalable, performant data delivery through a modern storage platform. Security analytics in particular have special considerations that can be met with effective planning and deployment of data storage infrastructure.
This excerpt from O'Reillys Understanding Log Analytics a concise overview of the security analytics use case. Additionally, it provides a reference for performance and scalability considerations, and planning that aids the deployment and operation of data storage for security analytics.
Read More
By submitting this form you agree to Pure Storage contacting you with marketing-related emails or by telephone. You may unsubscribe at any time. Pure Storage web sites and communications are subject to their Privacy Notice.
By requesting this resource you agree to our terms of use. All data is protected by our Privacy Notice. If you have any further questions please email dataprotection@techpublishhub.com
Related Categories: AIM, Analytics, Applications, Artificial Intelligence, Backups, Cloud, Compliance, Data Storage, Email, ERP, Event Management, Firewall, Hardware, Internet of Things (IoT), IOT, Machine Data, Machine Learning, Malware, Network, Predictive Analytics, SAN, Server, Software, Spam, Storage, Storage Hardware, Storage Systems
More resources from Pure Storage
Pure Unified Fast File and Object Storage
For businesses to maximize the value of their data, they first need to rethink their infrastructure—with a focus on injecting more simplicity and...
Modern Storage Accelerates Data Insights, Spe...
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data,...
Building Modern Data Architectures
As the amount of data multiplies, the challenges of managing this data have multiplied, too. Data now has to be put into the hands of more decision...