Blog Archives

The Problems that Scale-Out Architectures Create

Data intensive workloads like Elastic, Hadoop, Kafka and Splunk, are unpredictable, making it very difficult to design flexible storage architectures to support them. In most cases, scale-out architectures utilize direct attached storage (DAS). While DAS delivers excellent performance to the

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15 Minute Webinar: Composing Infrastructure for Elastic, Hadoop, Kafka and Cassandra to Drive Down Cloud Data Center Costs

Hyperscale applications like Elastic, Hadoop, Kafka and Cassandra typically use a shared nothing design where each node in the compute cluster operates on its data. Hyperscale architectures, to maximize storage IO performance, keep data local to the compute node processing

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The Myth of NoSQL Data Protection

There is a debate circling the topic of NoSQL data protection. A common myth is that because these environments automatically create replicas, data protection isn’t needed. Replicas protect the NoSQL environment from a hardware failure within a node or even

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ChalkTalk Video: Key Architecture Requirements for Tackling Hadoop and NoSQL Backup and Recovery

NoSQL and Hadoop typically distribute data through the use of built-in replication technology. The replication process also provides protection from media or server failure. Many IT professionals, as a result, think that they don’t need to backup these environments. In

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Enterprises, You Want Object Storage But Not For Objects

The industry has been espousing the merits of object storage for years now and cloud providers have been quick to adopt the technology. The enterprise, on the other hand, is more cautious, partly because the object storage alternative, Network Attached

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Protecting The Data-Driven Organization – Imanis Data Briefing Note

Most organizations make decisions based on data. In recent years, the amount of data that these organizations can access to help make those decisions has exploded. More data, though, won’t help unless the organization can analyze that data. It became

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Breaking Down Hadoop, Spark, Cassandra Silos – DriveScale Briefing Note

The storage architecture of most next generation applications, like Hadoop, Spark and Cassandra, leverage local, direct attached storage to avoid excessive storage traffic on the network and keep costs down. While this architecture does accomplish its goals, it also re-creates

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Enterprise Backup vs Point Backup

For two decades IT has had two choices when selecting a data protection solution. They can choose a holistic solution that covers the majority of the applications, operating systems and data protection goals or they can select a point data

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Data Center Modernization Still Needs Shared Storage

Organizations are increasingly embracing technologies like OpenStack and Docker so IT can become more agile, as well as be able to adapt to user or customer demands rapidly and cost effectively. IT’s new found agility, though, requires equal flexibility from

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Hitachi’s HSP Hyper-Converged Appliance makes Big Data Analytics fit the Enterprise

Big Data Analytics uses distributed computing architectures, on platforms like Hadoop, to run large processing jobs on even larger datasets. Since data being processed in a Hadoop environment usually needs to be resident on the compute nodes themselves, this can

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