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Monterey Technology Group: Top 5 truths about big data hype and security intelligence

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Panoramica

Lack of hands-on experience with true enterprise security SIEMs has led some newcomers to Big Data to claim there are scalability and analytics limitations with SIEM technologies.

This paper shows how HP ArcSight, the enterprise leader in Big Data SIEM, has evolved over 12 years of innovation to meet the requirements of Big Data.

This paper also discusses:

  • The hidden...

Lack of hands-on experience with true enterprise security SIEMs has led some newcomers to Big Data to claim there are scalability and analytics limitations with SIEM technologies.

This paper shows how HP ArcSight, the enterprise leader in Big Data SIEM, has evolved over 12 years of innovation to meet the requirements of Big Data.

This paper also discusses:

  • The hidden skill requirement of Big Data Security Analytics [BDSA] data scientists
  • The real-time requirement for security intelligence, often misunderstood in relation to Big Data
  • The risk of data silos persisting in Big Data repositories
  • Why investing in a Big Data cluster that runs search and a schema-less database is only the beginning of building a BDSA practice
Executive Summary
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1. There’s More to Big Data than “Big”
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2. The Real-Time Requirement for BDSA
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3. There’s More to BDSA than Big Data Technology
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4. The Trap of Data Silos within Big Data Repositories
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5. The 3 Vs of Big Data Aren’t New to HP ArcSight
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Big Data Architecture
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Real-Time Situational Awareness
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No Data Scientists Required
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No Silos
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Learn more about HP ArcSight
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About HP Enterprise Security Products
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About Randy Franklin Smith
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Disclaimer
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