High-Performance Data Architectures for the Internet of Things

In this special technology white paper, High-Performance Data Architectures for the Internet of Things, you’ll get a very good overview of Internet-of-Things (IoT) including IoT uses cases and opportunities, challenges of embracing IoT, and basic components of the IoT.

The white paper gives special focus to the Hybrid Transaction and Analytical Processing (HTAP) layer for handling both transactional and analytical workloads. You’ll see how the architecture of the GridGain in-memory computing platform fits into the bigger picture of IoT. Also included is a discussion of the Lambda architecture for IoT, with components of the GridGain in-memory computing platform performing the HTAP functions. The GridGain compute grid and data grid provide transactional processing and real-time analytics, while the GridGain streaming module also plays an important role in handling the high volume of streaming IoT data.

IoT Reference Architecture with GridGain

In this white paper you’ll discover how The Internet of Things is characterized by large numbers of devices delivering massive amounts of streaming data. Lambda architectures can provide the capabilities required to create hybrid transactional/analytical platforms (HTAP) that are capable of providing real-time insights into the massive amount of streaming data to power useful actions at the device level. The GridGain in-memory computing platform can simplify the deployment of a lambda architecture with a full featured HTAP architecture included in a single solution.

The white paper includes the following sections:

• IoT Use Cases and Opportunities
• The Challenges of IoT
• Basic Components of the IoT
• The Architecture of HTAP for IoT
• Multiple HTAP Technologies vs. One Solution
• The GridGain In-Memory Computing Platform: One Solution with Integrated Modules
• GridGain: A High Performance Data Architecture for IoT

The High-Performance Data Architectures for the Internet of Things white paper is available for download in PDF from the insideAI News White Paper Library, courtesy of GridGain Systems.