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The Hadoop Challenge for Business Intelligence and Analytics Users

  • The Hadoop Challenge for Business Intelligence and Analytics Users

    The Hadoop Challenge for Business Intelligence and Analytics Users-

    The security conundrum

    Incumbent data security vendors believe that Hadoop and distributed cluster security can be adequately addressed with traditional perimeter security solutions such as firewalls and intrusion detection/prevention technologies. However, these approaches lack effectiveness in Hadoop's distributed architecture. Simply bypassing perimeter security enables open access to cluster data. For this reason, security should be integrated into the Hadoop cluster environment.

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The Hadoop Challenge for Business Intelligence and Analytics Users

  • 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
  • The Hadoop Challenge for Business Intelligence and Analytics Users-8

    The security conundrum

    Incumbent data security vendors believe that Hadoop and distributed cluster security can be adequately addressed with traditional perimeter security solutions such as firewalls and intrusion detection/prevention technologies. However, these approaches lack effectiveness in Hadoop's distributed architecture. Simply bypassing perimeter security enables open access to cluster data. For this reason, security should be integrated into the Hadoop cluster environment.

Traditional data management and business analytics tools and technologies are straining under the added weight of Big Data, but new approaches are emerging to help enterprises gain actionable insights from Big Data. More and more organizations are looking to deploy Hadoop with aspirations for great success. However, business intelligence and application users who are not Hadoop specialists may find their lack of knowledge and tools initially limit them from achieving the full potential of Hadoop. Overcoming these hurdles is critical if Hadoop is to evolve from a pilot project to mainstream adoption.

This slideshow, from Zettaset, is intended to provide answers to the concerns that business intelligence and analytics users may have when considering Hadoop. It will also discuss the advantages and disadvantages of using Hadoop as a data store, and how the disadvantages will be mitigated as new technologies emerge to assist the enterprise with Big Data initiatives.