Whether you need to explain data integration to the business (or your boss, kids, or parents) or you’re looking for an alternative to hand-coding data mappings, “Data Integration For Dummies” is for you. This eBook gives you the information you need to learn the basics fast and make smarter decisions.
You’ll learn what data integration is, how it works, and how you can use the technology to become more competitive as you combine your existing data sources with new data sources to provide the business intelligence your organization needs to compete effectively.
Download your copy and get up to speed on:
• The top 10 criteria to keep in mind when shopping for data integration tools
• Data integration challenges that crop up in every implementation, and how to tackle them before they get out of control
• Real-life examples of how data integration can help for sectors like government, retail, healthcare, and finance
• How it's now possible to launch data integration on a small scale and grow on-premise and in the cloud, with virtually no hand-coding
This technical white paper demonstrates how to use Big Data security analytics techniques to detect advanced persistent threat (APT) cyber attacks, and it shows how HP ArcSight-a Security Information and Event Management (SIEM) solution from HP-applies these techniques to spot and stop attacks.
APTs use a "low and slow" attack profile that is difficult to distinguish from legitimate activity. But by correlating massive amounts of data from multiple sources you can detect and stop them. The paper presents three techniques that you can apply to any IT environment: 1. Detect account abuse by insiders and APTs.; 2. Identify data exfiltration by APTs.; 3. Identify and alert to new program execution.
For each technique, the paper presents an approach to detecting the situation and details the steps to implement the approach. Then it goes further to show how HP ArcSight does it. Applying these Big Data security analytics techniques can help you make your business safer by detecting attacks early, before significant damage is done.