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Data Architecture in an Evolving Eco-system Topology

With today’s needs for complicated data architecture systems and the business’s need to make sure that their data is on the most economical platform, moving away from EDW to platforms like Hadoop can be more than daunting to an organization. This whitepaper walks you through how Teradata customers have used the services team to help them migrate to new platforms seamlessly and why it’s important to have a strategic partner like Teradata when taking on this data movement project.

Interview: Ravi Mayuram, SVP Products & Engineering at Couchbase

I recently caught up with Ravi Mayuram, SVP Products & Engineering at Couchbase, to discuss recent developments in the NoSQL database industry such as the relationship with Hadoop and Spark, container technology, security, and much more.

Enterprise Data Warehouse

The EDW market continues to evolve as enterprise architecture pros recognize that improved scalability, better performance, and deeper integration with hadoop and NosQl platforms will address their top challenges.

Big Data Solution Using IBM Spectrum Scale

Businesses are discovering the huge potential of big data analytics across all dimensions of the business, from defining corporate strategy to managing customer relationships, and from improving operations to gaining competitive edge. The open source Apache Hadoop project, a software framework that enables high-performance analytics on unstructured data sets, is the centerpiece of big data solutions. Hadoop is designed to process data-intensive computational tasks, in parallel and at a scale that previously were possible only in high-performance computing (HPC) environments.

OpenStack Storage with IBM

This paper reviews the increasingly popular OpenStack cloud platform and the abilities that IBM storage solutions provide to enable and enhance OpenStack deployments. But before addressing those specifics, it is useful to remind ourselves of the “whys and wherefores” of cloud computing.

The Forrester Wave : Enterprise Data Warehouse, Q4 2015

Why read this white paper? – In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features
around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers. Download this white paper to learn the 10 most signifigent EDW software and service providers.

IBM: The Optimal Storage Platform for Big Data

There is a lot of hype around the potential of big data. Organizations are hoping to achieve new innovations in products and services with big data and analytics driving more concrete insights about their customers and their own business operations. To learn more download this white paper.

Ryft ‘s Open Platform Aims to Supercharge Analytics Performance by Eliminating I/O Bottlenecks

The new Ryft ONE open platform from Washington, D.C., area–based Ryft Systems Inc. aims to supercharge performance on even the most challenging analytics workloads with a balanced architecture. Download this white paper to learn more.

The hidden costs of open source

Clusters based on open source software and the Linux® operating system have come to dominate high performance computing (HPC). This is due in part to their superior performance, cost effectiveness and flexibility. To learn more download this white paper.

Cisco and NetApp Deliver Simplified, Affordable Disaster Tolerance Solutions for SAP HANA Deployments

This document describes Cisco® and NetApp solutions that support disaster-tolerance capabilities for SAP HANA deployments. This comprehensive approach encompasses synchronous and asynchronous replication, a point-in-time backup strategy, and protection of data against corruption. Because management of disaster scenarios requires coordination, the Cisco and NetApp solution handles the failover of servers, networking, and storage components to quickly activate a disaster-recovery site.