Hadoop and HP Vertica Analytics Platform (Hadoop和惠普Vertica分析平台).pdf

Hadoop and HP Vertica Analytics Platform (Hadoop和惠普Vertica分析平台).pdf

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Hadoop and HP Vertica Analytics Platform (Hadoop和惠普Vertica分析平台)

Business white paper Make all your information matter Hadoop and HP Vertica Analytics Platform Table of contents 3 Executive summary 4 The Big Data problem 5 Complementary analytics platforms 7 The best of both worlds: HP Vertica Analytics Platform and Hadoop together 8 Consider these real-world use cases 9 Use cases with HBase and HP Vertica Analytics Platform 10 Strengths and limitations of popular Hadoop components 11 Key takeaways 11 To learn more Executive summary HP Vertica Analytics Platform and Hadoop are highly complementary systems for Big Data analytics. The HP Vertica Analytics Platform is ideal for interactive real-time analytics and the Hadoop open-source platform is well suited for batch-oriented data processing. When used together, the HP Vertica Analytics Platform and Hadoop provide your organization with a powerful set of data analytics capabilities that can do far more than either platform could do on its own. This combination enables your enterprise to extract significantly higher levels of value from massive amounts of structured, unstructured, and semi-structured data. 3 The Big Data problem Volume, velocity, and variety create complexity In today’s information-driven world, your enterprise faces an onslaught of structured, unstructured, and semi-structured data. While conventional business systems continue to swell in size, storage environments are being hit with a hurricane of social media content, audio and video files, email, text messages, image files, documents, transactional information, and more. In one case in point, large communications networks and their associated switches, billing systems, and service departments generate hundreds of millions of individual call details records

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