TAILIEUCHUNG - The Revolution in Database Architecture

We expect that several emerging application classes will force data streams to become a first-class part of the DBMS as well. The imminent arrival of commercial microsensor devices at low cost will enable new classes of “monitoring” DBMS applications. It will become practical to tag every object of importance with a sensor that will report its state in real time. For example, instead of attaching a property tag to items such as laptop computers and projectors, one will attach a. | The Revolution in Database Architecture Jim Gray Microsoft Research March 2004 Technical Report MSR-TR-2004-31 Microsoft Research Microsoft Corporation One Microsoft Way Redmond WA 98052 The Revolution in Database Architecture Jim Gray Microsoft 455 Market St. 1650 San Francisco CA 94105 USA http Gray Gray@ ABSTRACT Database system architectures are undergoing revolutionary changes. Most importantly algorithms and data are being unified by integrating programming languages with the database system. This gives an extensible object-relational system where nonprocedural relational operators manipulate object sets. Coupled with this each DBMS is now a web service. This has huge implications for how we structure applications. DBMSs are now object containers. Queues are the first objects to be added. These queues are the basis for transaction processing and workflow applications. Future workflow systems are likely to be built on this core. Data cubes and online analytic processing are now baked into most DBMSs. Beyond that DBMSs have a framework for data mining and machine learning algorithms. Decision trees Bayes nets clustering and time series analysis are built in new algorithms can be added. There is a rebirth of column stores for sparse tables and to optimize bandwidth. Text temporal and spatial data access methods along with their probabilistic reasoning have been added to database systems. Allowing approximate and probabilistic answers is essential for many applications. Many believe that XML and xQuery will be the main data structure and access pattern. Database systems must accommodate that perspective. External data increasingly arrives as streams to be compared to historical data so stream-processing operators are being added to the DBMS. Publish-subscribe systems invert the data-query ratios incoming data is compared against millions of queries rather than queries searching millions of records. Meanwhile disk and memory .

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