PPT-Modern Hardware for DBMS
Author : faustina-dinatale | Published Date : 2019-06-29
Mrutyunjay Mjay University of Colorado Denver Motivation Hardware Trends MultiCore CPUs Many Core CoProcessors GPU N VIDIA AMD Radeon Huge main memory capacity
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Modern Hardware for DBMS: Transcript
Mrutyunjay Mjay University of Colorado Denver Motivation Hardware Trends MultiCore CPUs Many Core CoProcessors GPU N VIDIA AMD Radeon Huge main memory capacity with complex access characteristics Caches NUMA. Xtreme Compression, Inc. is a software design consultancy with special expertise in structured data compression. We apply our proprietary algorithms and source code to compress and encrypt structured data whenever performance beyond the reach of conventional methods is required. Xtreme Compression, Inc. is a software design consultancy with special expertise in structured data compression. We apply our proprietary algorithms and source code to compress and encrypt structured data whenever performance beyond the reach of conventional methods is required. Slides in this section obtained from R. . Ramakrishnan. and J. . Gehrke. , . Database Management Systems 3ed. , McGraw-Hill, 2002, . http://pages.cs.wisc.edu/~. dbbook/. . .. Transactions. Concurrent execution of user programs is essential for good DBMS performance.. Data Models. Record-Based Data Models. In a record-based model, the database consists of a number of fixed-format records possibly of differing types. . Each record type defines a fixed number of fields, each typically of a fixed length. . “MapReduce and parallel DBMSs: friends or foes?” Stonebraker, Daniel Abadi, David J Dewitt et al.. MAP REDUCE AND PARALLEL DBMS ARE COMPLEMENTARY. In 2010, . MapReduce. (MR) has been hailed as a . A . collection of related data . [. Elmasri. ]. .. A database represents some aspect of real world called “. miniworld. ” . [. Elmasri. ]. or “. enterprise. ”. [. Ramakrishnan. ].. A database can be of any size and of varying complexity.. Sam Madden. Physicists. Biologists. Basically Everyone Except My Bank. The Answer. Benefit(DBMS. ) ≠ . Suckiness(DBMS. ). Disadvantages of . DBMSs. are growing. Impoverished data manipulation language. Chen Shapira. http://prodlife.wordpress.com. B.Sc. . in CS and . Statistics. OCP. 10 . years of production IT . experience. Oracle Ace. Five successful Streams implementations last year. .. Goal:. . Cale Hendrickson. Program Manager II. Microsoft Corporation. Agenda. Graphics evolution. GPU usage in Windows. ®. 7. DirectX. ®. evolution. Direct3D. ®. 10 Level 9. Windows Advanced . Rasterization. W. here is the wisdom we have lost in knowledge? Where is the knowledge we have lost in information.. ~ T.S. Eliot ~. Learning Objectives. Concretize the concepts of data, information, data management and metadata. Chapter 10. Database Administration. 1. Objectives. What administrative tasks need to be performed with a database application?. How do you ensure data is consistent across multiple databases?. What are the basic tasks of a database administrator?. Contact: . Ibéria. Medeiros, Nuno . Neves. {. imedeiros. , nuno}@. di.fc.ul.pt. . FCiências.ID / LASIGE, . Faculdade. de . Ciências. , . Universidade. de . Lisboa. www.navigators.di.fc.ul.pt. Databases continue to be the most commonly used backend storage in enterprises, and are employed in several contexts in the electrical grid. They are often integrated with vulnerable applications, such as web frontends, that allow injection attacks to be performed. The effectiveness of such attacks steams from a . Chapter 1 & 2 Introduction to Databases 1 Pearson Education © 2009 Edited by: Nada Alhirabi Objectives common uses of database systems . Database Concepts & term. Characteristics & problems of file-based systems. Cal Poly Pomona. What is a Database?. ?. 2. Files, Databases and Mini-world. File: A collection of records or documents dealing with one organization, person, area or subject. . Manual (paper) files.
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