Dale Kim is the Sr. Director of Industry Solutions at MapR. His background includes a variety of technical and management roles at information technology companies. While his experience includes work with relational databases, much of his career pertains to non-relational data in the areas of search, content management, and NoSQL, and includes senior roles in technical marketing, sales engineering, and support engineering. Dale holds an MBA from Santa Clara University, and a BA in Computer Science from the University of California, Berkeley.
With stories of the thefts of millions of credit card records and sensitive employee data at some of the world’s largest companies and government agencies dominating recent headlines, it’s not surprising that organizations are doubling down on security. Security is finally starting to get top management’s attention.
Dale Kim, Sr. Director of Industry Solutions at MapR, describes the monitoring capabilities of the MapR Converged Data Platform, which easily give you a single view of all cluster operations. Leveraging popular open source technologies, the monitoring system is customizable and extensible to address the challenges of your big data deployment requirements.
Is there a case to be made for big data for security analytics? The answer is an unqualified “yes.” In fact CSO Magazine called cyber security “the killer app” for big data analytics.
In this week's Whiteboard Walkthrough, Dale Kim, Director of Industry Solutions at MapR, explains the architectural differences between MapR-FS or the MapR File System, and the Hadoop Distributed File System (HDFS).
Editor's note: In this week's Whiteboard Walkthrough, Dale Kim, Sr. Director of Industry Solutions at MapR, discusses three examples of how the auditing capabilities in the MapR Converged Data Platform are beneficial for your big data environment.
In this week's Whiteboard Walkthrough, Dale Kim, Director of Industry Solutions at MapR, describes the 540° Customer View.
In this week's Whiteboard Walkthrough, Dale Kim, product marketing director, explains how document databases fit in your enterprise's use cases.
Every week, there are reports about new data breaches at organizations ranging from retailers to government agencies to, ahem, “dating services.” In fact, the theft of sensitive data costs global industry over $445 billion each year.
Every business has some kind of database. It’s right up there with word processors and spreadsheets as essential business software. Relational databases are one of the most popular types—but as useful as they are, they’re not necessarily the best for every situation. NoSQL databases are becoming popular because they can handle different types of data at scale more efficiently.
This blog post is the final post of a four-part series, and is based on the Radiant Advisors white paper titled “Driving the Next Generation Data Architecture with Hadoop Adoption” which examines the emergence of Hadoop as an operational data platform.
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