#Bigdata is becoming more and more important as companies look to glean insight from all their structured and unstructured data to make better decisions and to be more competitive.
To help them analyze both internal and external data and gain real-time insights, some #SAP users are turning to #HANA, the vendor's in-memory platform for processing high volumes of data in real time, orHANA #Vora, a connector between HANA and #Hadoop, the open source, Java-based programming framework for large data sets. However, the HANA platform does not require HANA Vora to run or vice versa.
HANA Vora is an in-memory query engine designed to make big data from Hadoop more accessible and usable for enterprises. It plugs into the Apache Spark framework, enabling companies to run analytics on data that's stored in Hadoop.
Deploying and running HANA or HANA Vora, though, can be challenging. In that context, experts have offered some best practices to help businesses prepare to implement and use these tools for big data projects.
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