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Scoop.it!
With Big Data solutions spawning the requirement for applications focusing on Data Analytics, HANA’s capabilities are serving as the perfect partner for Hadoop. Read this article to know more about this perfect combination 
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Scoop.it!
Marketers – like most people – like to see their accomplishments in some sort of visual representation. If marketing can see the digital dialogue, the opportunities are endless
Luca Naso's insight:
Visualisation is a crucial moment for Big Data Analysis.
Data Scientists and Analysts needs to use visualisation tool to EXPLORE data, non just to VISUALISE them.
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SAP HANA and Hadoop are very different, that's why they could be a good combination in terms of complementing each other.
For example, SAP HANA is in-memory and uses predefined schema, while Hadoop is on disk and has no schema.
A scalable column-oriented database management for real-time analytics (SAP HANA) meets a technology platform that supports any kind of data for analyzing massive amount of data (Hadoop).