Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

November 11, 2014

Discovering Patterns for Cyber Defense Using Linked Data Analysis [12th Nov., 10am PDT]

Filed under: Cybersecurity,Hadoop,Hortonworks,Linked Data — Patrick Durusau @ 5:22 pm

Discovering Patterns for Cyber Defense Using Linked Data Analysis

Wednesday, Nov. 12th | 10am PDT

I am always suspicious of one-day announcements of webinars. This post appeared on November 11th for a webinar on November 12th.

Only one way to find out so I registered. Join me to find out: substantive presentation or click-bait.

If enough people attend and then comment here, one way or the other, who knows? It might make a difference.

From the post:

Almost every week, news of a proprietary or customer data breach hits the news wave. While attackers have increased the level of sophistication in their tactics, so too have organizations advanced in their ability to build a robust, data-driven defense.

Apache Hadoop has emerged as the de facto big data platform, which makes it the perfect fit to accumulate cybersecurity data and diagnose the latest attacks.  As Enterprises roll out and grow their Hadoop implementations, they require effective ways for pinpointing and reasoning about correlated events within their data, and assessing their network security posture.

Join Hortonworks and Sqrrl to learn:

  • How Linked Data Analysis enables intuitive exploration, discovery, and pattern recognition over your big cybersecurity data
  • Effective ways to correlated events within your data, and assessing your network security posture
  • New techniques for discovering hidden patterns and detecting anomalies within your data
  • How Hadoop fits into your current data structure forming a secure, Modern Data Architecture

Register now to learn how combining the power of Hadoop and the Hortonworks Data Platform with massive, secure, entity-centric data models in Sqrrl Enterprise allows you to create a data-driven defense.

Bring your red pen. November 12, 2014 at 10am PDT. (That should be 1pm East Coast time.) See you then!

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