Practical Steps for Setting Up an SAP BI on SAP HANA Infrastructure in the Cloud

  • by Sergei Peleshuk, SAP BI and HANA Architect
  • August 4, 2015
Discover options for implementing the SAP BI powered by SAP HANA platform in the cloud. Learn tips and ideas for efficient ways of setting up a cloud infrastructure for SAP BW on HANA, SAP BusinessObjects, and BusinessObjects Data Services (BODS).
Learning Objectives

Reading this article you will:

  • Learn the beginning steps for moving an SAP HANA infrastructure implementation to the cloud
  • Get practical tips on cloud infrastructure sizing and cost optimization
  • Learn what to watch out for when implementing an SAP HANA cloud infrastructure
Key Concept

By using Dynamic Tiering to place hot data in SAP HANA in-memory tables, and warm data in extended tables, the highest value data remains in-memory and cooler, and less-valuable data is saved to the extended store. This reduces the size of the in-memory database and makes SAP HANA licensing more affordable.

Most organizations want to take advantage of the benefits offered by in-memory technologies that support their SAP BI and SAP BW needs in business analytics, operational and strategic reporting, and planning. One of the leading in-memory products on the market is SAP HANA. Over the course of my career, I have had some large organizations that I worked with decide not to implement SAP HANA because of concerns about anticipated high costs, lack of resources, and complexity. I review what it takes to implement and support SAP HANA-based BI architecture. Starting with a high-level overview of the SAP HANA infrastructure, I then explain the typical steps an organization has to go through to set it up and the costs associated with it. I also offer some tips for how to optimize infrastructure-related total cost of ownership (TCO).

Business Needs and Required Architecture

With in-memory technologies such as SAP HANA, a lot of reporting and planning capabilities become possible due to performance and agility. With a proper approach and with the right resources in place, complex key performance indicators (KPIs) and business planning simulations based on terabytes of data can be implemented within weeks or months, depending on the amount of data and business processes complexity. In addition, with SAP HANA, modeling on big data volumes does not present a huge issue compared with modeling using traditional databases as redesigning models on large datasets in-memory requires less effort and time.

Sergei Peleshuk

Sergei Peleshuk has more than 15 years of experience implementing BI technologies for global clients in retail, distribution, fast-moving consumer goods (FMCG), oil, and gas industries. He has helped clients to design robust BI reporting and planning capabilities, leading them through all project phases: from analysis of requirements to building BI roadmaps, technical architecture, and efficient BI teams. Sergei is an expert in modern BI tools and technologies available on the market, including SAP Business Warehouse (SAP BW), SAP HANA, BusinessObjects, and SAP Lumira. Sergei maintains a business intelligence portal at www.biportal.org.

Sergei will be presenting at the upcoming SAPinsider HANA 2017 conference, June 14-16, 2017, in Amsterdam. For information on the event, click here.

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