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Mgt 240 Lecture
Mgt 240 Lecture

Document
Document

... Challenges of Grid database replication • How to copy the large data among heterogeneous DBs • How to maintain the consistency of data in a highly distributed network environment • How to discover & self-repair the dead parts ...
Relational Model - University of Hawaii
Relational Model - University of Hawaii

... PROJECT: show attributes (columns) JOIN: get data from more than one table Set: UNION, INTERSECTION, DIFFERENCE, CARTSIAN PRODUCT ...
Migrating From Relational To Object
Migrating From Relational To Object

... Well documented Many proven vendor solutions available ...
Database mirroring
Database mirroring

... the witness instance must run only an edition of SQL Server that supports witnessing. ■ Enterprise Supports high-performance, high-safety, and witness modes ■ Business Intelligence Supports high-safety and witness modes ■ Standard Supports high-safety and witness modes ■ Web Supports witness mode on ...
Tutorial 4 - Binus Repository
Tutorial 4 - Binus Repository

... Tutorial 4 Building a database ...
Configuring QuerySurge Connections
Configuring QuerySurge Connections

... 5. Once you have selected your Data Source, the Wizard will tell you what information you are likely to need in order to create your Connection. Once you have collected this information, you are ready to click Next. Note: This document describes setup for SQL Server with Database Authentication. For ...
High Availability with Microsoft SQL Server
High Availability with Microsoft SQL Server

...  Initiate a database mirror  Manually failover mirror database or cluster node  Add/remove passive node from mirror or cluster ...
Introduction to Database Systems
Introduction to Database Systems

... • A transaction is a collection of operations that performs a single logical function in a database application • Transaction-management component ensures that the database remains in a consistent (correct) state despite system failures (e.g., power failures and operating system crashes) and transac ...
PPT
PPT

... (Allen-Bradley, PC, Vax) ...
Chapter 1
Chapter 1

... concepts, leading to a new category called object-relational DBMSs (ORDBMSs) Extended relational systems add further capabilities (e.g. for multimedia data, XML, and other data types) ...
Database Management System
Database Management System

... – Several vendors, e.g., IBM’s DB2, Oracle 8, Informix UDS, extended their systems with the ability to store new data types such as images and text, and to ask more complex queries – Data warehouses have been developed by many vendors to consolidate data from several databases, and for carrying out ...
Introduction to Database Systems
Introduction to Database Systems

... – Several vendors, e.g., IBM’s DB2, Oracle 8, Informix UDS, extended their systems with the ability to store new data types such as images and text, and to ask more complex queries – Data warehouses have been developed by many vendors to consolidate data from several databases, and for carrying out ...
GIS Data
GIS Data

... • majority of data entry methods require a lot of time • data sharing enables lower data costs i.e. existing ...
Practical Database Design and Tuning
Practical Database Design and Tuning

... overheard to maintain consistency of the database. • The goal of denormalization is to improve the performance of frequently occurring queries and transactions. (Typically the designer adds to a table attributes that are needed for answering queries or producing reports so that a join with another t ...
What Is A Distributed Database? And Why Do You Need
What Is A Distributed Database? And Why Do You Need

... everyone else in the other partition. Or Architecture you could put all male citizens in one and all female citizens in the other. For each incoming transaction, you detect which data it needs to access and then send it to the relevant partition. You might ask why, if you are essentially just runnin ...
Special Issue on Computational Intelligence in Big Data Analysis
Special Issue on Computational Intelligence in Big Data Analysis

... becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization. Big data analysis refers to tools and methodologies that aim to transform massi ...
Chapter 17 - SaigonTech
Chapter 17 - SaigonTech

... With a CallableStatement, you can execute a stored procedure or function in a database For example, in an Oracle database, you can write a procedure or function in PL/SQL and store it in the database along with the tables. Then, you can create a connection to the database and execute the stored proc ...
PPT - Big Data Open Source Software and Projects
PPT - Big Data Open Source Software and Projects

... conceptually similar to those in RDBMSes). Secondary indices are also available. Replication: MongoDB provides high availability with replica sets. Load balancing: MongoDB scales horizontally using sharding. The user chooses a shard key, which determines how the data in a collection will be distribu ...
SummerStudentReport-JosipDomsic
SummerStudentReport-JosipDomsic

... web framework Django, Linux tool cron job, and different types of relational databases. Python is an object oriented scripting programing language. It offers simple means to deal with raw text and JSON documents. With an addition of Django web framework, and its object management and native handing ...
Searching of images stored in a database using content and pixel
Searching of images stored in a database using content and pixel

... is used to store images into the database. The implementation of the method of Stone into Matlab and connection of the algorithm with the database are the next steps. The Database Toolbox is one of an extensive collection of toolboxes for use with Matlab. The Database Toolbox enables one to move dat ...
Chapter 7: Database Systems
Chapter 7: Database Systems

...  A copy of all or part of the database Database recovery  Returning database to original, correct condition if it has crashed or has been corrupted Redundant array of independent disks (RAID)  Used to store duplicate data on multiple disks ...
Module #4 - Высшая школа экономики
Module #4 - Высшая школа экономики

... business intelligence tools and XML, which will prove to be invaluable as them progress further in computer science studies. This course studies different database models and their properties. The models that will be discussed are: ...
VSTS for DB professionals
VSTS for DB professionals

...  You can use the MSBuild tasks to provision multiple servers  Using command line or tool that calls the MSBuild infrastructure  Pseudo code for each server+database combination in list ...
LINQ and LINQ-to-SQL
LINQ and LINQ-to-SQL

... Create a DAO class with static methods which provide functionality for inserting, modifying and deleting customers. Write a testing class. ...
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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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