SAP HANA Vora 1.3 was made Generally Available on Dec16th 2016, With this release we extend the capabilities of Vora to deliver features beyond SQL modeling by proving three new engines to enable multi modal capabilities with Vora. By continuing to leverage the Apache Hadoop and Apache Spark technologies, Vora1.3 natively delivers the following engines […]
The default installation of the SparkController for HANA in a Hadoop cluster allows the archiving of data using DLM (Data Lifecycle Management) to HDFS and the accessing of Hive and DLM’d data with HANA. OR Access Vora data with HANA. but not both with the same SparkController instance. Currently the SparkController can be configured to […]
Creating Remote Sources and Virtual Tables in HANA to Hive and Vora can be accomplished using HANA Studio to create remote sources and virtual tables, but what about using DDL? There are 3 types of connections that can be created from HANA to Vora or Hive using a Remote Source. Two use the SparkController, while […]
Part 1 of this series focused on how the new SAP HANA Data Lifecycle Manager features helped to utilize automated processes to tier the data from HANA to Hadoop. Now that the data is in Hadoop we will look at how to start analyzing this data with SAP HANA Vora. Before we get too far […]
The SAP HANA Data Warehousing Foundation (DWF) option is a series of packaged tools for large-scale SAP HANA installations, which support data management and distribution within a SAP HANA landscape. With SAP HANA Data Warehousing Foundation you can achieve smart data distribution across complex landscapes, optimize the memory footprint of data in SAP HANA and […]
Despite some of the challenges regarding data rights, data protection, and privacy, Big Data has already had a significant impact on society, on how we work, and live. But there is more to come. Data scientists and domain experts with the aid of modern analytic and in-memory technologies have made great advancements, however we are […]
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