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Organizations working at gathering insights from big data analytics understand that they need more than traditional, structured systems, and tools.
Why the need for more flexible analytical tools? A variety of performance issues can overwhelm traditional big data warehouse architectures – preventing business decision makers from analyzing and gaining valuable insights from data to help to build competitive advantages, protect business initiatives, and drive measurable growth and significant results.
This paper introduces Hadoop for big data strategies that can help organizations of all sizes, and with a variety of needs and use cases, tackle their big data requirements and differentiate themselves from competitors by harnessing the power of data.
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