Hadoop Appliances and Teradata

A White paper by Philip Howard, Bloor Research International Ltd on critical considerations for Hadoop deployments and the role of appliances.

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.

Real Time Streaming Application

This paper explores the top seven must-have features in a Real-Time Streaming Application (RTSA) platform in order to help you choose a platform that meets the needs of your organization.

Big Data Analytics: IBM

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.

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.

IBM Under Cloud Cover Study

Simply put, it’s an evolution. Cloud computing is following the same pattern of other technologies that have shaped business and society. Take electricity, for example. Even after the first public power supply lit the streets, it took time for businesses to learn how to really capitalize on this new technology. In those early days, people were enthralled by artificial lighting – one of the earliest applications of electricity. Very few could fathom the innumerable product innovations, business models and industries that would ultimately be built upon this technology.

Big Data Analytics: Building A Strong Foundation

Big data isn’t about technology; it’s about business outcomes and performance. Therefore, it’s essential that you have a reasonable assurance that your business needs and demands will be met— before investing your first dime. The logical starting point for any new initiative should stem from a set of business needs, questions or opportunities that have measurable results, such as improved customer satisfaction, increased profit margins or faster decision making.

Machine Intelligence

This white paper is part 1 of a two part series where we uncover why machine intelligence is the key to solving the data integration challenge for the IIoT.

Top reasons to Adopt Scale-out Data Lake Storage

A Data Lake can meet the storage needs of your Modern Data Center. Check out the Top 10 Reasons your organization should adopt scale-out data lake storage for Hadoop Analytics