, July 16, 2013 – XtremeData Inc.
, providers of the only massively scalable DBMS for Big Data warehousing deployable on premise and Cloud, today announced that Dotomi, a ValueClick
Company (NASDAQ: VCLK
), has selected XtremeData dbX as a solution for the ingestion and integration of data.
Through a unique combination of multi-channel data, personalization technology, cross-device access and superior service, Dotomi connects the world’s leading retailers and brands with consumers through one-to-one marketing at scale. This empowers marketers to deliver a seamless and engaging consumer experience, while generating significant ROI and impressive incremental sales growth.
XtremeData Collaborates with Rackspace to Deliver On-Demand Data Warehousing
Scalable, High-Performance Data Warehousing for Big Data
SCHAUMBURG, IL - June 26, 2013—XtremeData Inc.,provider of big data analytic technology, announced today it is joining the Cloud ToolsPartner Program for Rackspace®Hosting (NYSE: RAX), providing a scalable, high performance data warehouse solution that can enable Rackspace customers to rapidly realize value from data analytics.Rackspace customers generate huge amounts of data in managed-hosted and cloud environments every day. XtremeData now provides a readily available solution for analysis that customers can use within the Rackspace hybrid cloud environment.
XtremeData’s product is a scalable, high performance SQL database software engine, deployable on Rackspace hardware. XtremeData offers fast performance for data ingestion, processing, reporting and analytic applications. It is a scale-out, massively parallel processing solution optimized for analyzing multiple large data sets and supports ANSI SQL standard interfaces to industry standard business intelligence and analytics tools.
Enterprise Threats: Big Data and Cyber Security
Many people are aware of the fact that Big Data
has the potential to significantly enhance business and operational processes. Yet, its scalability also has substantial boons for cyber security, the consequences of which can either make or break the enterprise.
Due to the massive quantities and variation of data sources that organizations can process via Big Data, it is now economically feasible to capture, store, and analyze cyber security data for months at a time. Prior to the advent of Big Data technologies, most conventional security appliances could only provide point solutions that filtered data for a single threat such as malware, denial of service, or intrusion prevention – for a matter of minutes.
Organizations can now preserve cyber security data via two means – through the use of a dedicated repository or through sophisticated probing technology (or perhaps both) – and run analytics on long-term patterns and threats that become manifest over time. Thus, they can continue to stream for and deter threats in close to real time and augment that capability with a deeper, profound analysis of more sophisticated threats. If you’ve bet the enterprise on the network and its data, extra security doesn’t hurt.