A Heterogeneous Approach to Big Data Analytics
HP Vertica Analytics Platform and Hadoop are highly complementary systems for Big Data analytics. 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.
But why and when do you use this combination together and how?
Download this new white paper and learn how this powerful combination enables you to extract higher levels of value from massive amounts of structured, unstructured, and semi-structured data, while accelerating analytics. This white paper details these most common joint use cases, supported by real-world customer examples:
- Hadoop for Data Processing and HP Vertica Analytics Platform for analytics
- HDFS for storage and HP Vertica Analytics Platform plus Hadoop for analytics
- HP Vertica Analytics Platform for storage and analytics and Hadoop as a multi-purpose tool
To enable the integration between the two platforms, HP offers connectors that allow you to seamlessly move the data back and forth, so that you can load the data upfront or at query time—an invaluable capability for data exploration.
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