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…
Blog Archives
SlideShare: Improving Time to Value for Enterprise Big Data Analytics
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…
Webinar: Improving Time to Value for Enterprise Big Data Analytics
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…
ChalkTalk Video: Improving Time to Value for Enterprise Big Data Analytics
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…
Tagged with: Big data, HDS, Hitachi, Hyper-converged, Infrastructure, Purpose Built, Scale-Out, Virtualization
Posted in Video
Posted in Video
ChalkTalk Video: What is a Data Lake
George Crump of Storage Switzerland, and Fred Oh from Hitachi Data Systems explain the term “Data Lake”, and what it means for today’s analytics tools such as Pentaho, Hadoop, and Cassandra. The discussion includes real-world use cases, and also demonstrates…
Tagged with: Data Lake, HDS, Hitachi, Hyper-converged, Infrastructure, Virtualization
Posted in Video
Posted in Video
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…
Tagged with: Analytics, Big data, Data Lake, Hadoop, HDS, Hyper-convergence, Infrastructure, Scale-Out, Unstructured data, Virtual machine
Posted in Article
Posted in Article
ChalkTalk Video: Using Object Storage to deal with the Data Explosion
Organizations are being inundated with data for a variety of use cases like storing old data or rich media, enabling file sharing and synchronization and forming a data lake for analytics projects. They need to store all this data, ideally…
Briefing Note: HDS Acquires Pentaho to bring Big Data Analytics to the Masses
HDS just announced it’s completed the acquisition of analytics platform manufacturer Pentaho, a move that’s been in the works for several months. As expected from an established player in the storage space, HDS has been focused on Big Data Analytics,…
Briefing Note: How to Tackle Big Data and the Internet of Things
IT companies around the world are looking at analytics as the holy grail for improving a host of business processes, such as cost reduction, manufacturing efficiency, predictive maintenance, design optimization, etc. And those in large, capital-intensive industries are particularly interested,…
Tagged with: BDA, Big data, Converged Architecture, HDS, Hitachi Data Systems, Internet of Things, IoT
Posted in Briefing Note
Posted in Briefing Note
Hadoop and OpenStack for Enterprise Big Data – Moving from Erector Set to Ready To Go
Big Data Analytics is more than just an interesting IT initiative, these infrastructures are starting to re-shape how businesses develop new products, respond to customer needs and achieve new levels of efficiency. The problem is that most Hadoop environments, the…
Tagged with: Big data, Capacity, Data Protection, Hadoop, HDS, Hitachi Data Systems, Hyper-converged, Infrastructure, OpenStack, Reliability, Scale-Out
Posted in Article
Posted in Article
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