Big data & Analytics
With data growing at extraordinary rates and users demanding quick, effective analysis of this data, your applications need a high performance infrastructure. IBM Technical Computing solutions are designed to improve the performance of your computing infrastructure for your most demanding applications and big data workloads.
With more and more intelligent and interconnected devices and systems, the amount of data you are collecting is growing at alarming rates. In some industries as much as 90 percent of that data is unstructured and growing at rates as high as 50 percent per year. To keep your business competitive, to innovate and to get products and services to market quickly, you need to be able to analyse that data and extract insight from it quickly and economically. For Big data and other analytics workloads, current solutions do not provide the response time required by analytics jobs, decreasing user productivity and delaying decision making.
IBM Technical Computing provides high performance infrastructure solutions optimised to address your big data and analytics needs. These solutions specialises in fast access to large sets of structured or unstructured data for ingest, energy-efficient processing power, and enterprise-class management software to accelerate parallel applications in a shared grid environment. Faster results, better utilisation of resources, and improved insights are just a few of the benefits.
With years of expertise in distributed workload scheduling and management, IBM Platform Computing software is designed to improve the performance of your most demanding applications with a low latency solution for heterogeneous application integration on a shared multi-tenant architecture. IBM Platform Symphony software employs optimisation techniques that allow sub millisecond response and fast provisioning for a variety of workloads. Its also has a high job throughput rate whereby the system allows more than 17,000 tasks/second to be submitted. IBM Platform Symphony - Advanced Edition provides a high-performance distributed runtime engine for Hadoop MapReduce applications and extremely high resource utilisation for both MapReduce and non MapReduce applications.
IBM offers a range of high-performance systems optimised for Big data and Analytics workloads including IBM Power Systems™, IBM Flex Systems™ (US), and IBM System x® servers. IBM Intelligent Cluster™ provides an integrated, high performance cluster, pre-integrated with your choice of servers, storage, networking and workload management software, backed by a single point-of-contact. For your storage needs, IBM Smarter Storage for Technical Computing (US) is optimised for performance and scale with multi-tiered products to choose from including IBM System Storage® DCS3700 midrange storage, IBM System Storage TS3500 Tape Library, and break-through new IBM System x GPFS® File Server that delivers near-linear scalability and ultra fast disk rebuild times. Together these offerings provide the most comprehensive high-performance infrastructure for your compute and big data computing needs.
IBM General Parallel File System (GPFS) delivers fast, reliable access to data optimised for parallel workloads in big data environments. GPFS is capable of managing petabytes of data and billions of files for fast, reliable access to a common set of file-based data that can be accessed globally and managed centrally.
When Platform Symphony, GPFS, and IBM Systems are combined with IBM InfoSphere BigInsights (US), IBM delivers a complete supported Hadoop stack and solution, backed by reference architectures and client successes. Solution offerings include:
Accelerate insight with optimised systems, low-latency data access and management of your big data and analytics environment.
IBM Technical Computing offers a range of benefits for your big data analytics environments:
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