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The Case For Change Notifications in Pull-Based
The Case For Change Notifications in Pull-Based

... querying capabilities (e.g. InfluxDB3 ), they are typically employed for analytic queries, materialized view maintenance or downsampling streams of information and do not extend to change notifications. In recent years, new database systems have emerged that aim to provide real-time change notificat ...
MOBILECOMP UTI NGINNATURALRESOURCES
MOBILECOMP UTI NGINNATURALRESOURCES

SQL - Adelphi University
SQL - Adelphi University

... • Mysql (open source – no cost to use though may cost to embed and resell outside gpl) • Ms sql (microsoft ) • Oracle • Sybase • Access • Older AS/400 – SQL machine ...
Chapter 1: The Database Environment
Chapter 1: The Database Environment

... employees within their organization. Others, called help-desk technicians, assist non-IT users who are having computer problems. Computer systems analysts study an organization's current computer systems and procedures and make recommendations to management to help the organization operate more effi ...
Securing Data at Rest: Database Encryption Solution Using
Securing Data at Rest: Database Encryption Solution Using

... Figure 1 describes the process of encrypting and decrypting data. There are two general types of key-based algorithms: symmetric and public-key. In the case of most symmetric ciphers, the encryption and decryption keys are the same (as shown in Figure 1). Empress utilizes symmetric ciphers for its e ...
Chapter 1: The Database Environment
Chapter 1: The Database Environment

...  The conceptual Organization of the entire database  The Network Subschema  The conceptual Organization of the database as “seen” by the applications programs accessing it  A data management program to define and manipulate the data  1975: The ANSI Standards Planning And Requirements Committee ...
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... • As always, contact your customer service rep. to verify all of this information. ...
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From Semistructured Data to XML: Migrating the

... Foundation under grant IIS-9811947, and by a Schlumberger graduate research fellowship. ...
Create and Access Databases
Create and Access Databases

... 15. In the Format a Table page click Next (if you want a different format than the default you may change this) 16. In Add Hyperlinks to the web page click Next 17. In limit Rows click Next 18. Click Finish 19. Click OK 20. Open Internet Explorer and in address bar type C:\temp\SQL 710.html 21. What ...
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database management

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data warehousing olap project description

... This is a commercial tool being used in industry and it has all the features required to do all the OLAP activities (example data mining, data warehousing, reporting etc). Some of the main features of this tool are as follows: Server Management Studio: This is a graphical tool used for all the data ...
Management of Meteorological Mass Data with MongoDB
Management of Meteorological Mass Data with MongoDB

... 2.1. Access to data and metadata within one single database query The first important requirement for the new environment was access to data and metadata within one single database query, i.e. one query should provide the metadata as well as the underlying measurement data. Therefore, it is possible ...
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Constructing Data Mining Functionalities in a DBMS
Constructing Data Mining Functionalities in a DBMS

... relational model, has been designed mainly to support information systems applications. The success of SQL language can be attributed to a small number of primitives that give support to the large majority of such database applications. Current data mining applications for rule extraction also use D ...
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Managing a Multi-tier Data Warehousing Environment with the SAS/Warehouse Adminstrator
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... products. The legacy data that is the source used to populate a data warehouse may reside in many formats and on many platforms. There are several middleware products available that can be used to extract and move that data from the source systems to the data warehouse. Some of these products includ ...
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DATC01 - Business Intelligence For The Relational Expert

Physical Database Design and Performance
Physical Database Design and Performance

... 11. Three ways to handle missing field values: a. Substitute an estimate of the missing value. For example, for a missing sales value when computing monthly product sales, use a formula involving the mean of the existing monthly sales values for that product indexed by total sales for that month acr ...
original - Kansas State University
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MlibInterface5
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... MetaLib may be used at two different levels – guest users and logged on users. Guest users have limited access to the databases as well as minimal personalization privileges. Services not available to guest users either do not appear as options on the screen, or appear with a locked icon . At any ti ...
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... and controls in a database, lists the operators available, and has built-in functions to help you create an expression. • Stacked layout - A layout in which the controls are arranged vertically with a label on the left and the control on the right. Tabular layout - A layout in which the controls are ...
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... PivotTable field names and functions: – Type a new name for the selected field in the Name text box – Specify a different summary function from the Summarize by list box • You can view the underlying source data for a PivotTable item by double-clicking on the cell that contains the item ...
Michał Kwiatek – CERN /IT-DES Performance Optimization and
Michał Kwiatek – CERN /IT-DES Performance Optimization and

... Hash cluster uses a hashing algorithm to convert the key value into a database block address, thus bypassing all I/O except for the block read itself. Optimally, there will be one logical I/O used to perform a lookup. ...
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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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