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Parallel Query Processing in Shared Disk Database Systems
... architectures such as Ncube. These architectures are based on microprocessors and do not directly attach a disk drive to all nodes, but achieve the same connectivity by an interconnection network (e.g., hybercube) where I/O requests and pages may be transferred through intermediate nodes. Such a mes ...
... architectures such as Ncube. These architectures are based on microprocessors and do not directly attach a disk drive to all nodes, but achieve the same connectivity by an interconnection network (e.g., hybercube) where I/O requests and pages may be transferred through intermediate nodes. Such a mes ...
Provenance in Databases: Past, Current, and Future
... provenance problem. The authors of [32] proposed to build the functionality of computing data provenance into a database system using the non-annotation approach. Their motivation for using the non-annotation approach was to support provenance tracing in a database visualization environment, where l ...
... provenance problem. The authors of [32] proposed to build the functionality of computing data provenance into a database system using the non-annotation approach. Their motivation for using the non-annotation approach was to support provenance tracing in a database visualization environment, where l ...
Data Level Auditing™ for Compliance & Security
... (non-archived) mode A database writes undo and redo records to the log for: – Roll forward recovery – Transaction atomicity (roll back to a known state) An on-line transaction log is backed up to archived files The archived log files may serve as a rich source for audit activity ...
... (non-archived) mode A database writes undo and redo records to the log for: – Roll forward recovery – Transaction atomicity (roll back to a known state) An on-line transaction log is backed up to archived files The archived log files may serve as a rich source for audit activity ...
Security - Computer Science and Engineering Department
... performance since updates do not have to be replicated. Data stripping is performed at the level of blocks. 2. RAID 1 - Mirrored: This level maintains (mirrors) two identical copies of the data across different disks. To maintain consistency in the presence of disk failure, writes may not performed ...
... performance since updates do not have to be replicated. Data stripping is performed at the level of blocks. 2. RAID 1 - Mirrored: This level maintains (mirrors) two identical copies of the data across different disks. To maintain consistency in the presence of disk failure, writes may not performed ...
Basics - MiNI PW
... – most administrative tasks can be performed while the database is running and available for users, for example: analyzing, rebuilding indexes, moving data – disk failure: it is possible to turn off and recover only the part of the database that was affected by the failure, the rest of the database ...
... – most administrative tasks can be performed while the database is running and available for users, for example: analyzing, rebuilding indexes, moving data – disk failure: it is possible to turn off and recover only the part of the database that was affected by the failure, the rest of the database ...
FaceKit: A Database Interface Design Toolkit
... of interface descriptions convenient, but it also allows operations to be functionally depcndcnt on anything present in the database.This allows an interface to change its behavior as the databaseis modified. Second, since these tools give the interface direct accessto the application data, semantic ...
... of interface descriptions convenient, but it also allows operations to be functionally depcndcnt on anything present in the database.This allows an interface to change its behavior as the databaseis modified. Second, since these tools give the interface direct accessto the application data, semantic ...
Introduction to Database Management
... e.g. Book database: Title is a unique attribute for the current set of books, however, there are many books in the world with the same titles. ISBN on the other hand is a unique identifier for the book. e.g. Adult males living in the U.S.: A lot of them have the same name, (probably the same age), h ...
... e.g. Book database: Title is a unique attribute for the current set of books, however, there are many books in the world with the same titles. ISBN on the other hand is a unique identifier for the book. e.g. Adult males living in the U.S.: A lot of them have the same name, (probably the same age), h ...
♦ Sunrise: A Real-Time Event-Processing System and Avi Silberschatz
... both Sunrise and the applications built on Sunrise. Figure 1 shows the typical configuration of a Sunrise-based system. Sunrise processes events on behalf of some real-time element (such as a network switch) and maintains summary and aggregation data over those events. To meet real-time performance ...
... both Sunrise and the applications built on Sunrise. Figure 1 shows the typical configuration of a Sunrise-based system. Sunrise processes events on behalf of some real-time element (such as a network switch) and maintains summary and aggregation data over those events. To meet real-time performance ...
What are the components of instance?
... It consists of SGA, PGA and Oracle Background Process SGA The SGA is a shared memory area that contains data and control information for the instance. SGA has several components: Data Buffer Cache: It stores copies of data blocks that have been retrieved from the data files which give great performa ...
... It consists of SGA, PGA and Oracle Background Process SGA The SGA is a shared memory area that contains data and control information for the instance. SGA has several components: Data Buffer Cache: It stores copies of data blocks that have been retrieved from the data files which give great performa ...
Chapter>>
... Ans: The components are communication costs, local processing costs, and local input-output costs. Communication costs involved fixed message delays and variable data transfer delays. The weighting of communication costs versus local costs (input-output and processing) depends on network characteris ...
... Ans: The components are communication costs, local processing costs, and local input-output costs. Communication costs involved fixed message delays and variable data transfer delays. The weighting of communication costs versus local costs (input-output and processing) depends on network characteris ...
Exadata Overview
... Write-though cache, transparently used to accelerate reads 4 x Cards (384GB/cell) used to create a cache on the cell Database Machine has 5 TB of flash storage Able to pull 3.6GB/sec total bandwidth from each storage cell, for ...
... Write-though cache, transparently used to accelerate reads 4 x Cards (384GB/cell) used to create a cache on the cell Database Machine has 5 TB of flash storage Able to pull 3.6GB/sec total bandwidth from each storage cell, for ...
Design and Implementation of the QBOE Query Language for
... graph and image. The query language is called Query-By-Object-Example, since either DDL (Data Denition Language) or DML (Data Manipulation language) is through an object example. In the part of DDL, the user can specify the prototype of a multimedia application, including the specic keywords for t ...
... graph and image. The query language is called Query-By-Object-Example, since either DDL (Data Denition Language) or DML (Data Manipulation language) is through an object example. In the part of DDL, the user can specify the prototype of a multimedia application, including the specic keywords for t ...
Wrap-up, review
... user’s work does not inappropriately influence another user’s work No single concurrency control technique is ideal for all circumstances Trade-offs need to be made between level of protection and throughput ...
... user’s work does not inappropriately influence another user’s work No single concurrency control technique is ideal for all circumstances Trade-offs need to be made between level of protection and throughput ...
第11 章
... Indexes and Query Optimization • Data sparsity: number of different values a column could possibly have • Indexes implemented using: (課本 p. 453) – Hash indexes – B-tree indexes: most common index type. Used in tables in which column values repeat a small number of times. The leaves contain pointers ...
... Indexes and Query Optimization • Data sparsity: number of different values a column could possibly have • Indexes implemented using: (課本 p. 453) – Hash indexes – B-tree indexes: most common index type. Used in tables in which column values repeat a small number of times. The leaves contain pointers ...
1 Introduction to DBMS
... in program code rather than being stated explicitly Hard to add new constraints or change existing ones ...
... in program code rather than being stated explicitly Hard to add new constraints or change existing ones ...
Scalable RDBMS for Online Transaction Processing (OLTP) for Big
... techniques like partitioning, sharding and clustering. Another architectures, the two distinguishing features common common approach is to add larger machines at more cost. An amongst them is that they all support the relational data ideal DBMS should scale elastically, allowing new machines model a ...
... techniques like partitioning, sharding and clustering. Another architectures, the two distinguishing features common common approach is to add larger machines at more cost. An amongst them is that they all support the relational data ideal DBMS should scale elastically, allowing new machines model a ...
Atlas Now & The Future
... Easy Step Assignment™ Facility assignment system. ATLAS Trouble Center™ automated Trouble Ticket generation and tracking. ATLAS Facility Trace Center™ circuit tracing with automated loop makeup calculation. ATLAS Document Center™ support documentation linking and tracking. ATLAS Administrator™ contr ...
... Easy Step Assignment™ Facility assignment system. ATLAS Trouble Center™ automated Trouble Ticket generation and tracking. ATLAS Facility Trace Center™ circuit tracing with automated loop makeup calculation. ATLAS Document Center™ support documentation linking and tracking. ATLAS Administrator™ contr ...
Big Data - Purdue University
... data, understand its semantics, and provide intelligent querying functions. As noted previously, real-life medical records have errors, are heterogeneous, and frequently are distributed across multiple systems. The value of Big Data analysis in health care, to take just one example application domai ...
... data, understand its semantics, and provide intelligent querying functions. As noted previously, real-life medical records have errors, are heterogeneous, and frequently are distributed across multiple systems. The value of Big Data analysis in health care, to take just one example application domai ...
Access Paths for Data Mining Query Optimizer
... queries before they get satisfying results, it can be helpful to exploit materialized results of previous queries when answering a new one. We use the term materialized data mining view to refer to intentionally gathered and permanently stored results of a data mining query. Since not every material ...
... queries before they get satisfying results, it can be helpful to exploit materialized results of previous queries when answering a new one. We use the term materialized data mining view to refer to intentionally gathered and permanently stored results of a data mining query. Since not every material ...
MYCH7 - Computing Science
... Easy to use in Java Servlets / JSP Provide a simple way to keep non-essential data on the client side even when the browser has closed Disadvantages Limit of 4 kilobytes of information Users can (and often will) disable them Should use cookies to store interactive state The current user’s ...
... Easy to use in Java Servlets / JSP Provide a simple way to keep non-essential data on the client side even when the browser has closed Disadvantages Limit of 4 kilobytes of information Users can (and often will) disable them Should use cookies to store interactive state The current user’s ...
Overview of Storage and Indexing
... One approach: Consider the most important queries in turn. Consider the best plan using the current indexes, and see if a better plan is possible with an additional index. If so, create it. Obviously, this implies that we must understand how a DBMS evaluates queries and creates query evaluation pl ...
... One approach: Consider the most important queries in turn. Consider the best plan using the current indexes, and see if a better plan is possible with an additional index. If so, create it. Obviously, this implies that we must understand how a DBMS evaluates queries and creates query evaluation pl ...
MySQL Workbench - Data Management and Data Exploration
... A storage engine is an underlying software that a RDBMS uses to manage the data in its database. MySQL offers a variety of storage engines that can be used in the same database. A transaction is a collection of operations that are combined in one statement. This statement is either fully executed or ...
... A storage engine is an underlying software that a RDBMS uses to manage the data in its database. MySQL offers a variety of storage engines that can be used in the same database. A transaction is a collection of operations that are combined in one statement. This statement is either fully executed or ...
ppt
... Objects are purely transient, no permanent object identity Objects can be retried from database System uses mapping to fetch relevant data from relations and construct objects Updated objects are stored back in database by generating corresponding update/insert/delete statements The Hibern ...
... Objects are purely transient, no permanent object identity Objects can be retried from database System uses mapping to fetch relevant data from relations and construct objects Updated objects are stored back in database by generating corresponding update/insert/delete statements The Hibern ...
CS 5614: (Big) Data Management Systems
... What is Data Mining? § Given lots of data § Discover paJerns and models that are: – Valid: hold on new data with some certainty – Useful: should be possible to act on the item – Unexpected: non-obvious to the system – Understandable: humans should be able to interpret the paWern ...
... What is Data Mining? § Given lots of data § Discover paJerns and models that are: – Valid: hold on new data with some certainty – Useful: should be possible to act on the item – Unexpected: non-obvious to the system – Understandable: humans should be able to interpret the paWern ...
Data Structures in Natural Computing
... (CPT), constructs (CST), schema (SCH) and data (DAT) from Figure 2. CPT is the same in both systems as there is one universal type for concepts. As usual the functors relate the categories. We have now though added natural transformations to relate the mapping between one functor and another. It nee ...
... (CPT), constructs (CST), schema (SCH) and data (DAT) from Figure 2. CPT is the same in both systems as there is one universal type for concepts. As usual the functors relate the categories. We have now though added natural transformations to relate the mapping between one functor and another. It nee ...