Kdb+ is a column-based relational database with extensive in-memory capabilities, developed and marketed by Kx Systems. A new research paper is now available that details the use of kdb+ for IoT applications – “Kdb+ and the Internet of Things/Big Data.”
49% of organizations see eDiscovery for endpoint data as their highest governance priority in the next two years. A new approach for governing information is a necessity with the rise of mobility. Our friends over at Druva created the new infographic below depicting the problem with traditional data governance.
As 2014 draws to a close, here at insideBIGDATA we’re trying to cool our heels a bit to reflect on the amazing year we had for Big Data. We thought it would be interesting to put together a 2015 Predictions article that included perspectives from many of our new (and old) industry friends. Below, is a compilation of some of the most compelling predictions we heard.
While Linux clusters dominate HPC, there are many issues related to cost and complexity that can make open-source solutions challenging. In addition, determining real costs can be complex because every environment is different, and organizations will assess costs using their own methodologies and based on their own requirements and capabilities.
Big data is more than a buzzword, as proven by how fast organizations are adopting new analytics technologies to obtain business value from it. That is the key takeaway from a Luth Research survey of large organizations currently using big data analytics software or planning to use it in the next 12 months.
Download this whitepaper today to learn best practices for deploying GPFS-FPO as a file system platform for big data analytics. The goal of this paper is to guide the administrator through various decision points to ensure optimal configuration based on the Hadoop application components being deployed.
Savvy retailers are harnessing the power of big data by combining data from a number of sources such as web browsing patterns, social media and industry forecasts. They are using big data to predict trends, prepare for demand, optimize pricing, and ultimately to improve each customer’s experience to increase acquisition and retention rates.