Getting Started with In-Memory Business Data
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The concept of managing the entire business data in-memory has been researched and studied for many years. But it is only in the very past years, with increasing memory reliability and decreasing prices along with the availability of 64-bit operating systems, that the technological restrictions for in-memory databases have been removed. In-memory business data management is about to become available for many applications, that are in dire need of high performance: existing applications will be made better and whole new types of applications impossible in the past will be developed and provided to our customers.
The in-memory data layer will revolutionize the way how "traditional" OLTP applications work. Not only will they become 10-100-1000 times faster, through elimination of redundantly stored summary data we will see dramatically improved change management and extensibility. Find out how we have designed the new layer, how we integrated in-memory technologies in products, and what SAP plans for future delivery.
Real-Real Time Computing - The Motivation
Already in 2002 the CPU hit a frequency wall: 2.93 gigahertz. Now chip manufacturers have bet their future on multi-core architecture to satiate the sustained need for speed. A multi-core processor comprises two or more CPU cores into a single processor, where the independent cores share the processing load. It represents a concept commonly known in computer science as parallelization; a concept Hasso believes is just now starting to be exploited.
Endless Stores
The Software that Exploits the Hardware
What It Means for Customers
Publications and Whitepapers Hasso Plattner talkes often about in-memory technology at events, about future trends, and his vision on data storage. Some of his thoughts are listed as podcast. Please watch the videos on the HPI web page for in-memory data management.
Enterprise Data Management in Mixed Workload Environments
A Hybrid Row-Column OLTP Database Architecture for Operational Reporting
A Composite Benchmark for Online Transaction Processing and Operational Reporting
A Database Engine for Flexible Real-Time Available-to-Promise
A Common Database Approch for OLTP and OLAP Using an In-Memory Column Database (Hasso Plattner)
Enterprise Applications - OLTP and OLAP - Share One Database Architecture (Hasso Plattner)
Hasso Plattner Statements On In-Memory Computing
Hasso Plattner talkes often about in-memory technology at events, about future trends, and his vision on data storage. Some of his thoughts are listed as podcast. Please watch the videos on the HPI web page for in-memory data management.