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Data Science 101: Hadoop and Object-based Dispersed Storage

Rob McCammon, Director of Product Management, makes a compelling case for using Cleversafe to combine the power of Hadoop MapReduce with a highly scalable Object-based Dispersed Storage System. This solution is designed to decrease infrastructure costs for separate servers dedicated to analytical processes, reducing required storage capacity (having a single copy of the data instead […]

Interview: Why Denodo Believes Everyone Needs Data Virtualization

Suresh Chandrasekaran

“The Denodo Platform delivers the capability to access any kind of data from anywhere it lives without necessarily moving it to a central location like a data warehouse. Once moved it exposes that data to various users and analytical/business applications as virtual data services in a way that is meaningful to the users, in real-time, with high performance, using caching and minimal data movement only as needed. That is data virtualization in a nutshell.”

Interview: VoltDB Powers Fast and Smart Data in Gaming World and Beyond

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VoltDB is an in-memory, distributed, relational database that exceeds the performance needs of modern data-intensive applications in industries including mobile, gaming, advertising technology, financial services and energy.

Siemens AG Relies on Teradata Architecture

Teradata (NYSE: TDC), a leading analytic data platforms, applications and services company announced today that Siemens AG will be able to enhance its manufacturing processes and product quality by deploying Teradata technology.

MongoDB to Unlock Insights from Real-time Smart Grid Data

Silver Spring Networks, Inc. (NYSE: SSNI), a leading networking and solutions provider for smart energy networks, is building on the MongoDB database to seamlessly capture and store high volumes of rapidly changing, complex machine-to-machine (M2M) data for its new SilverLink™ Sensor Network

Interview: LC Technology International Stores Data in Cross-Platform Environments

When disaster strikes, lost data could cost you your business. LC Technology International is continually improving their data recovery products to meet these needs.

Interview: NetApp and Policy-Based Data Management for the Enterprise

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“Key industries including healthcare, retail, telecommunication, media and entertainment, financial services and the government leverage NetApp solutions to manage large amounts of content, expand technology infrastructures without disrupting operations, and improve data-intensive workflows.”

Interview: A3CUBE Sets Sights on the Emerging Arena of High Performance Data

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“Our architecture permits tens of thousands of SSDs to be connected together and accessed in a parallel and concurrent way using direct mapping of memory accesses from a local machine to the I/O bus and memory of a remote machine. This feature allows for data transmission between local and remote system memories without the use of operating system services. It also enables a unique linear scalability of SSDs bandwidth and IOPS and consequently allows computation and data access to scale together linearly. This totally eliminates the bottleneck in bandwidth or IOPS and provides optimal dimensions of performance, capacity, and computation with an unmatched flexibility at a fraction of the costs.”

Interview: Nexenta Seeks to Do Away with MESS

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“Software defined storage is a fundamental component of software defined data centers – the next step in the evolution of virtualization and cloud computing. In its simplest form, Software Defined Storage is about leveraging software only solutions to address storage challenges, from vendor lock-in, cost, performance, security, scale and manageability. A complete SDS portfolio enables customers to both optimize existing infrastructure and fully replace legacy configurations with industry standard hardware powered by software.”

Interview: Glassbeam Joins Forces with HDS for Complex Infrastructure Management

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“Machine logs contain simple and complex data – some logs contain time stamped data (i.e. syslogs) that are tactical events or errors used by sys admins to troubleshoot IT infrastructure. But other logs have more complex, unstructured or multi-structured text with sections on configuration info, statistics and other non-time stamped data. To make sense of the data in these logs, one needs a powerful language and processing engine to provide meaning and structure to the information. Once structure is defined, complex analytics and trend reporting can be performed.”