Book Image

SAP on Azure Implementation Guide

By : Nick Morgan, Bartosz Jarkowski
Book Image

SAP on Azure Implementation Guide

By: Nick Morgan, Bartosz Jarkowski

Overview of this book

Cloud technologies have now reached a level where even the most critical business systems can run on them. For most organizations SAP is the key business system. If SAP is unavailable for any reason then potentially your business stops. Because of this, it is understandable that you will be concerned whether such a critical system can run in the public cloud. However, the days when you truly ran your IT system on-premises have long since gone. Most organizations have been getting rid of their own data centers and increasingly moving to co-location facilities. In this context the public cloud is nothing more than an additional virtual data center connected to your existing network. There are typically two main reasons why you may consider migrating SAP to Azure: You need to replace the infrastructure that is currently running SAP, or you want to migrate SAP to a new database. Depending on your goal SAP offers different migration paths. You can decide either to migrate the current workload to Azure as-is, or to combine it with changing the database and execute both activities as a single step. SAP on Azure Implementation Guide covers the main migration options to lead you through migrating your SAP data to Azure simply and successfully.
Table of Contents (5 chapters)

Data platform

Information is a valuable organization resource and most enterprises recognize data as an asset that differentiates them among competitors. During the last 20 years, the amount of information collected has been constantly growing and the trend will continue to accelerate in the future. Common access to the internet has changed the world we live in. Mobile phones, social media, and devices with constant access to the global network have made us all digitally connected.

The cloud software company Domo, in its 7th annual report4, tried to estimate the amount of data that has been generated. Every minute we send more than 18 million text messages and 500,000 tweets. YouTube users watch 4 million videos and Uber takes almost 10,000 rides. IDC estimates that in 2020, we will have more than 40 zetabytes of data, which equals 40 trillion gigabytes. To understand how data generation accelerated last year, you can compare it to the amount of data available...