SAP HANA Vora is actually an in-memory enormously distributed data treating engine for Hadoop. It functions on Apache Spark structure to investigate and Big Data kept in Hadoop. It eases the assimilation of SAP data with the dispersed data lakes and combines together all kinds of data (warm, cold, hot, etc.) through the single access point.
How is it accomplished?
It is accomplished through performance supporter supplementary for Apache Spark that eases HANA connectivity to Hadoop collections without any information replication. It can also support interactive SQL on Enterprise Analytics and Hadoop data including:
- On the fly money conversion support
UOM (Units of Measurement) support
Hierarchy support - SAP HANA Vora permits the user to capture real-time hot information and combine with less hot information in Hadoop collections through a distinct entry point. It helps the data scientists to obtain amazing understanding by combining all kinds of data.
Being a plugin for Apache Spark, SAP HANA Vora settles above Hadoop clusters enabling a large array of new features.
Unified admin through the SAP HANA cockpit
Rule-based DLM permitting Hadoop/Apache Spark systems to take part in vibrant data tiering
Compiled queries enhancing the performance of inquiries in Hadoop/Apache Spark
OLAP on Hadoop offering the ability to perform drilldowns, hierarchies, and conversions
Parallel Access providing enhanced performance between Apache Spark and SAP Hana
Open Programming Language assistance like Python, Java, Scala or R.
It is possible to deploy SAP HANA Vora in various platforms like Amazon EMR, MAPR, Cloudera, and Hortonworks. If needed, you can make use of test drive possible for Vora Developer 1.2. It is deployed in Zeppelin and Hortonworks which are preinstalled. The test drive would last for about three hours for free of cost.
It is possible to access Vora Developer 1.2 through the SAP cloud library.