An Introduction to SAP HANA Vora (Part 1)

  • by Anupam Gupta, EPM Practice Manager, The Principal Consulting
  • Vasi Venkatesan, Principal Consultant, SAP
  • June 21, 2016
SAP HANA Vora is a new solution from SAP for handling in-memory processing and analysis of Big Data on top of the Hadoop platform. Learn about the concepts of SAP HANA Vora, its services’ architecture, and how SAP Vora works on Hadoop data. Also learn the details about how it integrates with the generally available third-party solution, Apache Spark, an in-memory processing engine also running on top of Hadoop.
Learning Objectives

By reading this article, you will learn about:

  • The basic concepts about Big Data and the details of the Hadoop platform components
  • How SAP HANA Vora is placed on the Hadoop Big Data platform
  • The basic architecture of SAP HANA Vora
  • How SAP HANA Vora and Apache Spark are integrated
  • The services that run in the Hadoop platform for SAP HANA Vora
Key Concept
Big Data includes data from social media, Internet of Things, and sensory data, just to mention a few examples. SAP HANA Vora is SAP’s solution to handle this type of large-volume, external data, which is normally stored in a Big Data environment such as Hadoop. SAP HANA Vora makes it easier to consume Big Data for faster analysis and better decision making.

The co-founder of Intel, Gordon Moore, predicted in 1975 that computing power would double every year, based on the compaction technology of the integrated chip packaging. With this quick growth in computing power, one unanticipated result is the huge upsurge in the amount of data that people, and their smart devices (such as the Internet of Things), generate every day. The tremendous growth in data, along with the increased computing power that comes with it, far exceeds the speed at which users can consume data. This increased volume also makes it harder to integrate Big Data with the enterprise application’s data for better analysis.

This is considered Big Data because of its famous three V’s: Velocity, Volume, and Variety of structured and unstructured data. Hadoop is one Big Data platform that provides a less-expensive option for storing and analyzing this volume of data, as Hadoop runs by distributing the data on top of multiple cheaper commodity hardware instead of the usual high-end servers. The performance is not compromised because the processing is now distributed on multiple nodes working in parallel, and the number of nodes can be increased as needed very easily. This is the high-level architecture of the Hadoop Big Data ecosystem that depends on multiple nodes.

SAP introduced a new solution for analyzing Big Data in 2015, called SAP HANA Vora. SAP HANA Vora has an in-memory data-processing engine that can be integrated into the Hadoop Big Data ecosystem and the Apache Spark execution framework. Apache Spark is a general- purpose in-memory data-processing engine that is compatible with Hadoop distributed data. 

Anupam Gupta

Anupam Gupta works as a practice manager at The Principal Consulting (TPC), managing its enterprise performance management (EPM) practice. He has more than 10 years of development and global consulting experience with SAP solutions in the areas of financial planning, reporting, and consolidation. He has significant experience advising clients on IT strategy and technology road maps. He is responsible for the development of EPM competencies, knowledge management assets, and TPC-developed solutions spanning a range of SAP products such as SAP NetWeaver BW, SAP BusinessObjects, SAP Business Planning and Consolidation, and SAP Strategic Enterprise Management.

See more by this author

Vasi Venkatesan

Vasi Venkatesan is a principal consultant at SAP with over 14 years of SAP experience. He has implemented many SAP Business Warehouse (BW) and Business Intelligence (BI) solutions, including SAP HANA and Data Lake solutions. At SAP, Vasi is mainly involved in providing BI solutions for retail and oil & gas customers, and is involved in the first-ever development and implementation of Retail Method of Accounting. Currently, his focus is on SAP HANA, SAP BW, and SAP BusinessObjects tools, and Big Data solutions like Hadoop.

See more by this author


Comments

10/18/2016 2:02:31 PM
SAPUser

Well written

Please log in to post a comment.

To learn more about subscription access to premium content, click here.