Three keys to a good data monetization system are collecting the right data, identifying and executing monetization against that data, and storing the data in a cost-effective way. It should go without saying that a data monetization system needs data,…
Data monetization is generating revenue using data previously created for another purpose. There are a number of ways to extract information and trends from that old data. Those trends that the company did not notice before give an organization fresh…
Different workloads demand different attributes from their storage. These differences lead some to believe flash storage is only good for certain point use cases like accelerating databases. But the performance of flash systems lead others to claim a single flash…
IT Professionals hear a lot about big data, but what exactly is big data and what are some of the use cases for it? In this StorageShort Storage Switzerland’s George Crump and HDS’ Fred Oh explain big data and how…
Embracing and taking full advantage of big data analytics can provide tremendous returns to organizations willing to invest. The problem is that while we understand the value of analytics, how to get started is confusing. Most big data analytic projects…
Briefing Note – Red Hat Storage Despite its potential to increase storage performance, capacity and flexibility while decreasing acquisition and operational costs, software-defined storage (SDS) has limited success in the enterprise. The problem is that enterprise data centers are “in…
Embracing and taking full advantage of big data analytics can provide tremendous returns to organizations willing to invest. The problem is that while we understand the value of analytics, how to get started is confusing. Most big data analytic projects…
George Crump of Storage Switzerland, and Fred Oh from Hitachi Data Systems explain how to reduce time and avoid complexity of do-it-yourself analytics projects with the Hitachi Hyper Scale-Out Platform (HSP). Purpose-built by HDS for fast-growing data analytics workloads, HSP…
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…
Up until the past year or two, High-Performance Compute (HPC) environments and the enterprise data center have been separate domains. But now the data intensive demands of analytics, migrations to cloud infrastructures and ever growing numbers of users looking to…
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