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database - Dl4a.org
database - Dl4a.org

... Commercial databases do not a have a practical limit to the size of the load. Issues will be backup strategies for large databases. Freeware does limit the size of the databases, and the number of users. Documentation on these issues vary widely from the freeware sites to the user sites. Mysql suppo ...
VisTool: a Visual Tool for Querying Relational Databases
VisTool: a Visual Tool for Querying Relational Databases

... The first two are aimed at defining which joins will be potentially part of the query. The remaining steps, besides their specific functions, all go towards determining a multiset of concepts "mentioned" within the query. The associations belonging to the paths connecting the primary concept to each ...
Transaction Processing Systems
Transaction Processing Systems

SQL Server Performance Monitoring & Optimization
SQL Server Performance Monitoring & Optimization

... • “The End-of-Month report is taking too long to run.” ...
Discovering Computers 2007
Discovering Computers 2007

... Huge database system that stores and manages data required to analyze historical and current transactions Quick and efficient way to access large amounts of data Uses multidimensional databases ...
Keyword Searching and Browsing in Databases using
Keyword Searching and Browsing in Databases using

... Presented by Sushanth Sivaram Vallath ...
reldb03
reldb03

...  Implicit Integrity Constraints  Explicit Integrity Constraints 3.4.1 Implicit Integrity Constraints The term “Implicit Integrity Constraints” means that a user need not explicitly define these Integrity Constraints in a database schema. They are a property of the relational data model as such. Th ...
TU4A_3-5O - icalepcs 2005
TU4A_3-5O - icalepcs 2005

... useless when database is large • A new view was proposed – spreadsheet style • Records presented in an editable table • Enables editing multiple records simultaneously • Easy database error tracking ...
Resume_Current-Mike_Buchan
Resume_Current-Mike_Buchan

... Comprehensive Test Ban treaty. The system was initially developed by the Department of Energy’s Pacific Northwest Laboratory (PNNL). DME corporation was requested to create a reproducible version of the system. The RASA system is now produced by DME Corporation. However, the control software is stil ...
Chapter 9 - the HCC Home Page
Chapter 9 - the HCC Home Page

... number of characters a field can contain Data type specifies kind of data field contains ...
INTRODUCTION TO JDBC
INTRODUCTION TO JDBC

... alternative is available for a platform; however it is very rare that a database or platform doesn’t have a pure java native driver. Also, the rise of thin client computing using HTML as an intermediate format has reduced the need for ODBC. Many web development platforms contain direct links to targ ...
As part of their skills development candidates should have sufficient
As part of their skills development candidates should have sufficient

... Driver: A data source could be a Microsoft ACCESS database or it could be an Interbase database on a remote machine. Therefore a way of translating standard ODBC function calls into the native language of each different data source is required. Translation is the task of the driver. In the case of M ...
Chapter 2 slides
Chapter 2 slides

Chapter 11
Chapter 11

... • Evaluated from client perspective – Most current relational DBMSs perform automatic query optimization at the server end – Most SQL performance optimization techniques are DBMS-specific • Rarely portable ...
Data Mining: A Tightly-Coupled Implementation on a
Data Mining: A Tightly-Coupled Implementation on a

... mining applications. Many data mining implementations have already used databases. DBMiner [5], for instance, is a system that implements data mining techniques integrated to database technology. Although the idea of using DBMSs is not new, most implementations use databases only to issue queries th ...
Midterm - NYU Computer Science
Midterm - NYU Computer Science

... (a) Access data faster and use Structured Query Language (SQL) (b) Use Structured Query Language (SQL) and store associations among data (c) Store associations among data and store more data (d) Store more types of data and access data faster 4) Data mining tasks can be divided into two categories: ...
PPT
PPT

... memory and are discarded when an application terminates  Some objects must exist from one execution of an application to another or be shared among different instances of applications. Such objects are ...
1. File Systems and Databases
1. File Systems and Databases

... • In the early days, database applications were built on top of file systems • Drawbacks of using file systems to store data: – Data redundancy and inconsistency • Multiple file formats, duplication of information in different files ...
files-and-indexes
files-and-indexes

... Hashed Files: Good for equality selections. • File is a collection of buckets. Bucket = primary page plus zero or more overflow pages. • Hashing function h: h(r) = bucket in which record r belongs. h looks at only some of the fields of r, called the search fields. ...
Databases - Mr Fraser
Databases - Mr Fraser

... Any restrictions on the value of certain columns; The meaning of any data fields that are not self-evident; e.g. a field such as ‘course type’; The relationships between items of data; Which programs access which items of data, and whether they merely read the data or change it. Various tools allows ...
SSIS - Prodata Blog
SSIS - Prodata Blog

... Migrating to Infrastructure as a Service Migrating to Platform as a Service ...
Curriculum Vitae
Curriculum Vitae

... in various client projects for evaluating of the integration of tools and building/testing application frameworks. She created the portion of the system integration Practice development environment which addressed the Data access layer of the common distributed object technology architecture. Her ro ...
ppt - Washington University in St. Louis
ppt - Washington University in St. Louis

... necessary to deal with the onslaught of data in petabytes a day (10**15 bytes or 1000 terabytes) in some applications – this started being commonly called as “Big Data”.  Hadoop (which originated from Yahoo) and Mapreduce Programming approach to distributed data processing (which originated from Go ...
Introduction to Database Management - gozips.uakron.edu
Introduction to Database Management - gozips.uakron.edu

...  The database is stored on a central device called the database server, connected to the network to make each group member obtain access to the shared data ...
Methodology: Physical Database Design for Relational Databases
Methodology: Physical Database Design for Relational Databases

... • transactions that are critical to the business; • times during the day/week when there will be a high demand made on the database (called the peak load). ...
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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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