• Study Resource
  • Explore Categories
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Database Publishing in Adobe FrameMaker 11
Database Publishing in Adobe FrameMaker 11

... to successfully implement FrameMaker, including integration with third-party database publishing tools such as PatternStream software from Finite Matters Ltd. (FML), Miramo software from Datazone, and R4i Illustrated Parts Data (IPD) Manager from Absolute Data Group (ADG). ...
Integrating Relational Data with Netezza`s TwinFin
Integrating Relational Data with Netezza`s TwinFin

...  Refresh (Snapshot replication) A one-time complete replication from any major relational database source to Netezza’s TwinFin as a target, according to replication settings and scripts. You can control the timing of the replication, identify the columns to be replicated and add scripts to transfor ...
Data Streams and Data Stream Management Systems
Data Streams and Data Stream Management Systems

... Backward: The system may have started long before the moment at which a given query/rule processing has to be evaluated; therefore, lots of data should be processed, causing a heavy workload and very long response time. The solution to the backward infinity-looking problem is to set a backward-looki ...
PASS Pre-Conf Workshop
PASS Pre-Conf Workshop

... MSPress title: SQL Server 2000 High Availability Authors: Allan Hirt with Cathan Cook, Kimberly L. Tripp, Frank McBath ISBN: 0-7356-1920-4 Check out the main page of www.sqlskills.com for a sample chapter to download! ...
1. Translate each entity set into a table, with keys. Multi
1. Translate each entity set into a table, with keys. Multi

... ER to Tables, Method 2 (Book) ...
jdbc
jdbc

...  JDBC is a simple API for connecting from Java applications to multiple databases.  Lets you smoothly translate between the world of the database, and the world of the Java application.  The idea of a universal database access API is not a new one. For example, Open Database Connectivity (ODBC) w ...
AutoPart: Automating Schema Design for Large Scientific Databases
AutoPart: Automating Schema Design for Large Scientific Databases

... We expect the workload cost over the partitioned schema to be lower, because the fragments are faster to access than the original relations and queries will be able avoid accessing attributes they do not use. We define the Query Access Set (QAS) of a query Q with respect to a relation R (QAS(Q,R)), ...
CH 12 - Angelfire
CH 12 - Angelfire

... • Oracle is the world’s most popular DBMS that… – Is extremely powerful and robust – Runs on many different operating systems – Can be configured and tailored – Operates with most, if not all, addon products ...
Chapter 3 Notes
Chapter 3 Notes

...  Consider each pair of tuples tr from r and ts from s.  If tr and ts have the same value on each of the attributes in R  S, add a tuple t to the result, where  t has the same value as t on r ...
Secure Coding Practices
Secure Coding Practices

...  Use strongly typed parameterized queries. Parameterized queries keep the query and data separate through the use of placeholders. The query structure is defined with place holders and then the application specifies the contents of each placeholder.  Utilize input validation and if validation fail ...
lecture12
lecture12

...  JDBC is a simple API for connecting from Java applications to multiple databases.  Lets you smoothly translate between the world of the database, and the world of the Java application.  The idea of a universal database access API is not a new one. For example, Open Database Connectivity (ODBC) w ...
(EJB) container - Distributed Object Computing
(EJB) container - Distributed Object Computing

... run on the server J2EE components are written in the Java programming language and are compiled in the same way as any program in the language. The difference between components and "standard" Java classes is that components are assembled into a J2EE application, are verified to be well formed and i ...
Web Database Programming Using PHP
Web Database Programming Using PHP

... Connecting to a Database (cont’d.)  Query function $d->query takes an SQL command as its string argument  Sends query to database server for execution  $d–>setErrorHandling(PEAR_ERROR_DIE) ...
Drupal Performance & Security
Drupal Performance & Security

... – Avoid full table scan, file sort and temporary table creation by looking at query plan – Look here for query optimization http://dev.mysql.com/doc/refman/5.0/en/selectoptimization.html • http://dev.mysql.com/doc/refman/5.0/en/optimization.html ...
Ch14
Ch14

... Connecting to a Database (cont’d.)  Query function $d->query takes an SQL command as its string argument  Sends query to database server for execution  $d–>setErrorHandling(PEAR_ERROR_DIE) ...
Ch14 - ODU Computer Science
Ch14 - ODU Computer Science

... Connecting to a Database (cont’d.)  Query function $d->query takes an SQL command as its string argument  Sends query to database server for execution  $d–>setErrorHandling(PEAR_ERROR_DIE) ...
HA for Database Services
HA for Database Services

... • Homogeneous HW configuration – Clusters can be easily built and grown – A pool of servers, storage arrays and network devices are used as ‘standard’ building blocks – Hardware provisioning is simplified ...
Gr8AmbitionZ.com
Gr8AmbitionZ.com

... Ans: D Q.51 It is better to use files than a DBMS when there are (A) Stringent real-time requirements. (B) Multiple users wish to access the data. (C) Complex relationships among data. ...
Web Service Information Systems and Applications
Web Service Information Systems and Applications

... repository built on top of a hybrid system supported by UDDI and WS-Context These have different performance, scalability and data unit size requirement In our implementation, each is currently “just an Oracle/MySQL” database front ended by filters that convert between XML (GML for WFS) and object-r ...
How to Find Systematic Reviews
How to Find Systematic Reviews

... periodically, of all relevant randomized controlled trials” ...
A Database Approach for Raster Data Management inGeographic
A Database Approach for Raster Data Management inGeographic

... working quite well in the past in a disconnected, closed environment apparently has lost its charm in this connected, open environment. It has considerable limitations in terms of size and functionality, especially when it comes to the query ability, scalability, concurrency and access control. Thes ...
A Database Approach for Raster Data Management inGeographic
A Database Approach for Raster Data Management inGeographic

... working quite well in the past in a disconnected, closed environment apparently has lost its charm in this connected, open environment. It has considerable limitations in terms of size and functionality, especially when it comes to the query ability, scalability, concurrency and access control. Thes ...
OMG Issue Number:
OMG Issue Number:

... practice, implementations derived from UML models tend to be ground Herbrand models implemented by something like an SQL database manager. For these cases, if we know a horse has a color, then we know what color it has. To the extent that UML tools and modeling build this expectation into products, ...
CS 579 Database Systems
CS 579 Database Systems

... code), it connects to the database using the application schema name (e.g. EmpDB) and a private password or security credentials. Only the application (and not an arbitrary user inside the firewall) can access the application's tables and other data, because arbitrary users don't know the password o ...
Polaris: A System for Query, Analysis, and
Polaris: A System for Query, Analysis, and

... released a new interface for visually exploring projections of data cubes using linked views of bar charts, scatterplots, and parallel coordinate displays [14]. In this paper, we present Polaris, an interface for the exploration of multidimensional databases that extends the Pivot Table interface to ...
< 1 ... 187 188 189 190 191 192 193 194 195 ... 753 >

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.
  • studyres.com © 2026
  • DMCA
  • Privacy
  • Terms
  • Report