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Introducing HP

Technology Services for Big Data

HP Technology Consulting aligns to help customers realize all the benefits of their data. It's not simply about the size or volume of data. New sources of information from social media and mobile devices are being added at exponential rates compared to traditional data. Big data represents new technology challenges with processing and generating usable information — not an easy task using current methodologies or tools. In many cases, customers don't know what data is worth keeping.

Specifically, HP Technology Consulting now offers two new services:

  • HP Big Data Strategy Workshop: will help customers define and refine their big data strategy. This 3-day discovery workshop facilitated by HP subject-matter experts is designed to help clients understand big data challenges and realize the benefits, scope, scale and all critical success factors of Big data. We team with customers to develop a strategy for identifying, capturing, storing, managing, securing, and analyzing data in a way that makes the most of existing investments.
  • HP Roadmap Service for Hadoop: adopts a four-step approach to successfully deploy Hadoop without investing in significant IT muscle. We leverage our experience, best practices, and proven and tested HP reference architectures—all tailored to the specific needs and drivers of the developed roadmap.

Main customer benefits include:

  • Understand the big data landscape and its challenges, benefits and critical success factors.
  • Define or refine your big data strategy to address your unique requirements.
  • Discover and uncover the hidden potential of unstructured data.
  • Develop a roadmap that drives the successful planning, deployment, and support for your Big Data platform.
  • Build a reliable and scalable big data solution able to scale from single to thousands of machines.
  • Improve ability to make intelligent decisions through advanced exploratory analytics.
  • Leverage use cases to determine when and how big data needs to be protected, archived, and secured.
  • Take advantage of Hadoop due to its ability to scale and process large amounts of data using low cost components.