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Interview: Guavus Tackles Real-Time Data Analytics Across the Entire Enterprise

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Guavus uses live analytics with responsive queries to garner insightful business metrics to serve up competitive advantage. “Guavas is unique in its ability to provide an end-to-end view across your business and operations in real time. Our operational intelligence platform processes over 2.5 petabytes of data per day, which equals to 250 billion records per day and 2.5 million transactions per second.”

Volante Technologies Adds Support for Hadoop®

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Volante Technologies, a global leader in the provision of innovative financial data integration, today announced that it has enhanced Volante Designer version 5.0 to support the Hadoop® framework.

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

New Market Dynamics Report: HPC Life Sciences

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Scientific research in the life sciences is often akin to searching for needles in haystacks. Finding the one protein, chemical, or genome that behaves or responds in the way the scientist is looking for is the key to the discovery process. For decades, high performance computing (HPC) systems have accelerated this process, often by helping to identify and eliminate in feasible targets sooner.

Interview: ParStream Analyzes Billions of Records in Less than a Second

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“ParStream is a columnar database with a hybrid in-memory storage and a shared nothing architecture. Based on patented algorithms for indexing and compressing data, Parstream uniquely combines three core features: Analyzing billions of records in sub seconds, continuous fast import with up to 1 million rec/s and a flexible, interactive analytics engine with a SQL interface.”

A Solution for Real-Time Retail Analytics

Large Austrian retailer MPREIS has long been using QlikView for business analytics. When the data got too large, the company turned to ParStream to provide immediate query response on billions of records for QlikView’s Direct Discovery. Now the retailer is able to view aggregated and highly detailed information in the same dashboard in real-time. In this use case examination, we’ll take a look at the problem the company faced and the steps taken toward a solution.

DK Panda Presents: Big Data – Hadoop and Memcached

DK Panda

“As InfiniBand is getting used in scientific computing environments, there is a big demand to harness its benefits for enterprise environments for handling big data and analytics. This talk will focus on high-performance and scalable designs of Hadoop using native RDMA support of InfiniBand and RoCE. Designs for various components in Hadoop (such as HDFS, MapReduce, RPC, and HBASE) and their benefits based on the RDMA package for Apache Hadoop will be presented. RDMA-based design for scalable Memcached (used in Web 2.0) and the associated benefits will be presented.”

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.”