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Sub-second response time and real-time analytics are key requirements for applications that allow natural human computer interactions. We envision users of enterprise applications to interact with their software tools in such a natural way, just like any Internet user interacts with a web search engine today by refining search results on the fly when the initial results are not satisfying. In this...
Today, even small businesses operate in different geographical locations and service different industries. This can create a number of challenges including those related to language, currencies, different regulatory requirements, and diverse industry expectations. For large organizations with a wider reach, the challenges are even greater. As organizations grow, they also need to keep track of huge...
This chapter provides an overview of how we realize our vision of providing real-time data about a business available in real time. We show how using an IMDB, designed specifically for enterprise applications, provides significant performance advantages. We describe the particular technologies we have used and why these are the best choices for our particular purposes. Throughout the chapter we show...
In Part II we described the ideas behind our new database architecture and explained the technical details it is founded on. In this chapter we describe how we can best take advantage of the technology from an application development perspective. In Section 6.1 we discuss how changing the way enterprise applications are written to take advantage of the SanssouciDB architecture, can dramatically improve...
In this chapter, we offer our most important insights regarding operational and analytical systems from a business-oriented perspective and discuss how they should be unified to create a fast combined system. We point out how benchmarking should be changed to evaluate the unified system for operational and analyti cal processing.
This chapter describes why we believe that the technology used in SanssouciDB – our prototype relational database system – is a good fit for Cloud Computing. We begin in Section 8.1 by defining Cloud Computing. In Section 8.2 we describe the different types of applications that are suited for the cloud. Section 8.3 takes a provider’s point of view and describes the type of infrastructure required...
This final chapter demonstrates that our vision of an in-memory database for large-scale enterprise applications is already in the process of becoming reality. The first product that implements many of the concepts of SanssouciDB is the new in-memory data management solution released by SAP at the end 2010. Companies can begin using in-memory applications today and benefit from a massive performance...
In this chapter we describe the detailed physical and logical foundations of SanssouciDB. Simply running an existing database on a machine with a lot of main memory and a lot of cores will not achieve the speed-up we are seeking. To achieve our goal of giving business users information at their fingertips, we need to create a database that fully leverages these technological advantages. Chief among...
Providing enterprise users with information they require, when they require it is not just a question of using the latest technology to store information in an efficient manner. Enterprise application developers and users need ways of accessing and storing their information that are suited to the tasks they wish to carry out. This includes things like making sure the most relevant data is always stored...
Over the last 50 years, advances in Information Technology (IT) have had a significant impact on the success of companies across all industries. The foundations for this success are the interdependencies between business and IT, as they not only address and ease the processing of repetitive tasks, but are the enabler for creating more accurate and complete insights into a company. This aspect has...
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