Machine learning for data storage optimizes data analysis

Storage

Managing and protecting all enterprise data August 2019, Vol. 17, No. 11

In This Issue

When converged and hyper-converged -- and cloud -- converge

Price, ease of management and use cases should determine if you use hyper-converged, converged infrastructure or on-premises public cloud stacks. There are differences, however.Read More
Machine learning for data analytics can solve big data storage issues

Discover how AI and machine learning -- with support from major vendors and technologies like Lambda architecture, FPGAs and containers -- address big data analytics challenges.Read More
The realities of unstructured data management revealed

Managing and gleaning business value from unstructured data is of utmost importance to enterprises today. Our infographic outlines the challenges respondents face.Read More
Protect backups from ransomware and other security risks

Backups can return your enterprises to a known good state. So it's essential to secure them by aligning your backup and security strategies for better protection and recovery.Read More
Larger, expandable HCI nodes bring big infrastructure benefits

Discover why a larger node strategy enables enterprises to better consolidate workloads in a hyper-converged infrastructure environment while reducing complexity and cost.Read More
Support for production-level hybrid cloud use cases on the rise

A recent Taneja Group survey reveals that hybrid cloud and multi-cloud are the preferred cloud storage architectures for a variety of enterprise storage use cases.Read More

Storage is a digital magazine where experts provide detailed advice to help IT professionals solve today's increasingly complex storage challenges. It helps you manage, protect and drive business value from enterprise data residing on premises and in the cloud.

Features in this issue

Machine learning for data analytics can solve big data storage issues
by Brien Posey
Discover how AI and machine learning -- with support from major vendors and technologies like Lambda architecture, FPGAs and containers -- address big data analytics challenges.
The realities of unstructured data management revealed
by James Alan Miller
Managing and gleaning business value from unstructured data is of utmost importance to enterprises today. Our infographic outlines the challenges respondents face.
Protect backups from ransomware and other security risks
by Nick Cavalancia
Backups can return your enterprises to a known good state. So it's essential to secure them by aligning your backup and security strategies for better protection and recovery.

News in this issue

When converged and hyper-converged -- and cloud -- converge
by Dave Raffo
Price, ease of management and use cases should determine if you use hyper-converged, converged infrastructure or on-premises public cloud stacks. There are differences, however.

Columns in this issue

Larger, expandable HCI nodes bring big infrastructure benefits
by George Crump
Discover why a larger node strategy enables enterprises to better consolidate workloads in a hyper-converged infrastructure environment while reducing complexity and cost.
Support for production-level hybrid cloud use cases on the rise
by Jeff Kato
A recent Taneja Group survey reveals that hybrid cloud and multi-cloud are the preferred cloud storage architectures for a variety of enterprise storage use cases.