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High-Performance Data Architectures for the Internet of Things

By 2020, Gartner expects the IoT to have over 20 billion connected things. With that many connected devices transmitting information, there will be an enormous amount of processing to be done. To cope with this rapid expansion in the Internet of Things, successful IoT platforms will need a data architecture that can address significant challenges in terms of speed, scalability, variable workloads, and other issues. What type of data architecture can handle these challenges? Before discussing the technology needed
to tackle all of the issues around IoT, let’s take a closer look at some popular IoT use cases. 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.

Kdb+ and the Internet of Things/Big Data

Kdb+ is a column-based relational database with extensive in-memory capabilities, developed and marketed by Kx Systems. Like all such products, it is especially powerful when
it comes to supporting queries and analytics. To learn more download this white paper.

Solving Advanced IoT Analytics with the Databricks Just-in-time Approach

ESG’s recent 2016 IT Spending Intentions Survey reveals that both organizations in the throes of IoT, as well as those with plans to go down that path, anticipate that IoT will create business value across several categories including operational efficiencies, better customer service, new products and services, and new business models. Learn the keys to unlocking the potential from IOT Analytics.