PPT-Improving Transaction-Time DBMS Performance and Functionali

David Lomet Microsoft Research Feifei Li Florida State University Immortal DB A TransactionTime DB What is TransactionTime DB Retains versions of records Current and prior database states. 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.. concurrency. . controll. Chapter. 13. “Distributed Systems: . Concepts and Design”. Coulouris. , . Dollimore. , Kindberg. Hanna. Björling, . Stina Fröjd & Liv Sundman. Transaction. A transaction is a point where there is interaction with the database. -. Bhavya. . Kilari. Dr. . Yanqing. Zhang, . CSc. 8320. PREVIEW. P. ART. I. : . I. NTRODUCTION. Transaction Processing System. [. R. Chow & T. Johnson, 1997. 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. . Arvind Arasu, Ken Eguro, . Ravi Ramamurthy, Raghav Kaushik. Microsoft Research. Cloud Computing . 2. Well-documented benefits. Trend to move computation and data to cloud. Database functionality. Amazon RDS. : A Framework for Extensible Preference. Evaluation in Database Systems. Justin J. . Levandoski. Mohamed F. . Mokbel. Mohamed E. . Khalefa. Talk Outline. Preference Methods. Implementing Preference Methods in a DBMS. Chapter 2. 2. -1. Learning Objectives. Describe . the four parts of the data processing cycle and the major activities in each..  . Describe . the ways information is stored in computer-based information systems.. 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:. . 1. Copyright © 2007 Ramez Elmasri and Shamkant B. Navathe. Chapter 2. Database System Concepts and Architecture. Slide 2- . 3. Outline. Data Models and Their Categories. History of Data Models. Schemas, Instances, and States. V. . Gassenbauer. ,. J. Křivánek, K. . Bouatouch. ,. C. . Bouville. , M. . Ribardière. University of Rennes 1, France,. and. Charles University, Czech Republic. Need to compress large data set. © . 2013 . Pearson Education, Inc.  Publishing as Prentice Hall. 1. Modern Database Management. 11. th. Edition. Jeffrey A. Hoffer, V. Ramesh, . Heikki Topi. . Objectives. Define terms. Explain business conditions driving distributed databases. 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 2. 2. -1. Learning Objectives. Describe the four parts of the data processing cycle and the major activities in each..  . Describe the ways information is stored in computer-based information systems..