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Fabian Bentz
There is a lot of new terminology to learn in SAP HANA. Here are three quick definitions for need-to-know terms from The SAP HANA Deployment Guide by Bert Vanstechelman.
Hadoop is an efficient, distributed file system and not a database. The Hadoop Distributed File System (HDFS) is the file system that spans all the nodes in a Hadoop cluster for data storage. It links together the file systems on many local nodes to make them into one big file system. HDFS assumes nodes will fail, so it achieves reliability by replicating data across multiple nodes.
SAP HANA Vora is an engine which runs on the Hadoop cluster. It was designed to make data from Hadoop more accessible and usable. Hadoop offers low-cost storage for huge amounts of data. However, the data is unstructured which makes it difficult to handle. SAP HANA Vora builds hierarchies for the Hadoop data and enables OLAP style in-memory analysis.
Everybody is talking about the Internet of Things these days. But what is it all about? Simply put, the Internet of Things is a concept of connecting any electronic device to the Internet. This applies not only to computers, smartphones, and tablets, but also to your television and air-conditioning, and even to the engine of your car. These devices generate an enormous amount of data, which can be analyzed, for example, to improve the fuel consumption of cars. With SAP Smart Data Streaming, you can capture the incoming data, filter and transform it. You can actively monitor data arriving from sensors and smart devices, and set alerts to be triggered when immediate attention is required, for example, if an engine of an airplane is triggering too many alerts.
This book provides system architects, technical consultants, and IT management the tools to design a system architectures to deploy SAP applications on SAP HANA. Explore production and non-production systems, deployment options, backup and recovery, data replication, high-availability, and virtualization in detail. Dive into on-premise deployment options and data provisioning scenarios. Walk through scale-up and scale-out options and data partitioning considerations. Review the advantages and disadvantages of storage and system replication options and when to use each. Clarify how to leverage HANA for single node and distributed systems. Dive into a discussion on software and hardware virtualization. Compare the options available and guide your decision using flowcharts your organization can leverage to choose the proper technology for your environment and specific needs. This book enables readers to carefully evaluate and implement a well-considered SAP HANA scenario.
• SAP HANA sizing, capacity planning guidelines, and data tiering • Deployment options and data provisioning scenarios • Backup and recovery options and procedures • Software and hardware virtualization in SAP HANA
Bert Vanstechelman is the founder of and principal technical consultant at Logos Consulting. He has more than 20 years of experience in SAP Basis consulting, running many SAP versions in combination with all possible databases and operating systems supported by SAP. Bert specializes in platform migrations, SAP release upgrades, and Unicode conversions.
