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Server Monitor - JavaService Net
Server Monitor - JavaService Net

...  Calibration is done when the scenario starts to determine network delay at no-load  Dynamic network paths are supported  Graphs for timeouts, path delay under load help determine ...
Oracle Database Vault – DBA Best Practices
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... Oracle Data Guard Best Practices • For Oracle Active Data Guard and Oracle Data Guard Physical Standby: – install Oracle Database Vault software on primary database and all standby databases – Follow Oracle support note 754065.1 instructions ...
- Courses - University of California, Berkeley
- Courses - University of California, Berkeley

... and their relationships, and documenting the results in a form that can support the follow-on design phase • Must also identify new data elements or changes to data elements that will be required in the future • The result of this phase is the Conceptual Data Model -- usually represented as an ER di ...
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... • public String getParameter( String name ) http://www.library.org/search?name=nature&volume=32 String journal = request.getParameter (“name” ); int volume = Integer.ParseInt(request.getParameter (“volume”) ); ...
Bad Things Happen to Good People: How to Minimize the Pain
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Using Ellipsoidal Quadtrees for Visualisation of National and Global

... tolerance level was set to 66%. The means that at least 66% of the index cells should hold no more than 500 objects (cf. 3.2). The base level consists of 1128 index cells and the average number of objects per cell is 130. Some cells contain no data and some ten times more. An ideal quadtree can be c ...
Capacity Planning with Oracle
Capacity Planning with Oracle

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... Each ASE server can contains multiple databases apart from the default system databases. Each database contains multiple objects like tables, stored procedures, views etc. A user has one logon (login id/password) for the whole server. This is called the server user name. A user must be added to a da ...
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... Data retrieval from relational database requires high access time when it stores millions of records, which can be overcome using indexing [1]. Test data can be generated to populate test databases to test SQL queries [2]. Different database management techniques e.g. partitioning [3], indexing [1, ...
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Fundamentals of Database Systems
Fundamentals of Database Systems

... that are applied by a certain user throughout each login session. To keep a record of all updates applied to the database and of the particular user who applied each update, we can modify system log, which includes an entry for each operation applied to the database that may be required for recovery ...
Orthogonal Range Searching - Stanford Computer Graphics
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... Î Faster than linear scan, if good data structures are used. Î Query time O( f(n)+k ) ; where k= # of points reported ...
Relational to Riak - Basho Technologies
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... and Groups(group_id, group_name) along with sequences fro populating their primary keys. Write classes User and Group that correspond to these tables. Write methods for adding new users and groups. Write methods for listing all groups, all users and all users by given group. Write methods for updati ...
Information system for measurement data Marek Polakovič Bachelor’s thesis May 2015
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... Measurement equipment operators are responsible for obtaining the data from the transformer. It means that they have to get to the transformer and obtain the data using measurement device. This way, they get data from each transformer is planned for measurement and they come back to the office. Then ...
Development of the ECODAB into a relational
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... In certain cases, these predictions are made for GTs that share similarity to a considerable number of other GTs, some of which may still have different functions. Moreover, the assignment of sugar donors and acceptors has to be consistent with the structure of the O-antigen. To overcome this situat ...
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The Relational Database Model
The Relational Database Model

... Each record contains fields, which are the vertical columns of the table. These are also called attributes. An example would be a product record. Fields can be of many different types. There are many standard types, and each DBMS (database management system, such as Oracle or MySQL) can also have th ...
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... • Have you run the Index Tuning Wizard recently • Does every table in each database have a clustered index • Are any of the columns in any table indexed more than once • Are there any indexes that are not being used in queries ...
Module 1: Reviewing the Suite of TCP/IP Protocols
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... Understand DSS components. Describe structure of DSS components. Understand how DSS and the Web interact. Learn the role of the user in DSS. Understand DSS hardware and integration. Learn DSS configurations. ...
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Constructing Integrated Clinical Information Systems for Traditional and Nontraditional Users
Constructing Integrated Clinical Information Systems for Traditional and Nontraditional Users

... used by the database administrator, to define the mapping between the host DBMS structure and SAS. Thereafter, access to the DBMS is transparent to the user. As shown in Figure 4, a SAS program that requires data sends a request to the engine supervisor, a portion of the SAS system. The engine super ...
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Clusterpoint

Clusterpoint is a privately held European technology company developing and supporting Clusterpoint database software platform. Company was co-founded by software engineers with expertise in Big data computing. Founders were dissatisfied with complexity, scalability and performance limitations of relational database architecture. The first version of the product was released in 2006. Company is venture capital backed.Clusterpoint database is a document-oriented database server platform for storage and processing of XML and JSON data in a distributed fashion on large clusters of commodity hardware. Database architecture blends ACID-compliant OLTP transactions, full-text search and analytics in the same code, delivering high availability and security.Clusterpoint database enables to perform transactions in a distributed document database model in the same way as in a SQL database. Users can perform secure real-time updates, free text search, analytical SQL querying and reporting at high velocity in very large distributed databases containing XML and JSON document type data. Transactions are implemented without database consistency issues plaguing most of NoSQL databases and can safely run at high-performance speed previously available only with relational databases. Real time Big data analytics, replication, loadsharing and high-availability are standard features of Clusterpoint database software platform.Clusterpoint database enables web-style free text search with natural language keywords and programmable relevance sorting of results. Constant and predictable search response time with latency in milliseconds and high quality of search results are achieved using policy-based inverted indexation and unique relevance ranking method. Database also supports essential SQL query, that can be combined with free text search in a single REST API.For most of its history Clusterpoint was servicing business customers as an enterprise software vendor.In January 2015 Clusterpoint changed the licensing policy to free software license version. From February 2015 Clusterpoint database is available as a cloud service (DBAAS). The latest Clusterpoint database production version is 3.0, released in February, 2015.
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