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data warehousing and olap technology
data warehousing and olap technology

... department, without referring to historical data or data in different organizations. The access patterns of OLTP systems consist mainly of short, atomic transactions. Such system requires concurrency control and recovery mechanisms. Data warehouse systems, on the other hand, are targeted for decisio ...
Service Type Port# Comments Default Instance TCP 1433 Official
Service Type Port# Comments Default Instance TCP 1433 Official

... Web synchronization and FTP/UNC access for replication snapshot require additional ports to be opened on the firewall. To transfer initial data and schema from one location to another, replication can use FTP (TCP port 21), or sync over HTTP (TCP port 80) or File and Print Sharing (TCP port 137,138, ...
Database Systems: Design, Implementation, and Management Ninth
Database Systems: Design, Implementation, and Management Ninth

...  Conceptual schema: Basis for the identification and high-level description of the main data objects  Has a macro-level view of data environment  Is software and hardware independent  Logical design: Task of creating a conceptual data ...
Relational Database Mgmt.System
Relational Database Mgmt.System

... DISTRIBUTED DATABASES ...
PPT - Ajay Ardeshana
PPT - Ajay Ardeshana

... overloading and wear out of mechanical parts. ...
Distributed Databases
Distributed Databases

... Handled by network transmission control protocols such as TCP-IP Handled by network protocols, by routing messages via alternative links ...
Big data as the new enabler in business and other
Big data as the new enabler in business and other

... resources by using the best insights available to assess needs, scale problems and track the rapid pace of events.”6 A third area that will finally come to life with big data is home automation, a field that has been under development for more than 10 years now, but which so far has not taken off on ...
Chapter 19: Distributed Databases
Chapter 19: Distributed Databases

... Handled by network transmission control protocols such as TCP-IP Handled by network protocols, by routing messages via alternative links ...
Big Data Vs Traditional Data
Big Data Vs Traditional Data

... then consigned into an enterprise data warehouse. Big data is data that is excessively outsized to process using traditional methods. As the capacity of data bursts out, organizations will require analytic tools that are consistent, vigorous and proficient of being automated .Traditional data wareho ...
PRISMA/DB: A Parallel, Main Memory Relational
PRISMA/DB: A Parallel, Main Memory Relational

No Slide Title
No Slide Title

... An introduction to SQL Server security  Typically, a network user must log on to the network at a PC using a login ID and password.  If the client PC uses Windows, SQL Server can use the Windows login ID defined for the user. If the client PC doesn’t use Windows, you can create a separate SQL Ser ...
The Relational Data Model Data and Its Structure Physical Data
The Relational Data Model Data and Its Structure Physical Data

... (e.g., tables, attributes, constraints, domains) Model: tools and language for describing: Conceptual and external schema Data definition language (DDL) ...
CON2161 Big Data in Financial Services: Technologies, Use Cases and Implications
CON2161 Big Data in Financial Services: Technologies, Use Cases and Implications

Advanced SQL
Advanced SQL

... program written in another language, such as C or Java. d. Procedure. A collection of procedural and SQL statements that are assigned a unique name within the schema and stored in the database. e. Join. The most frequently used relational operation, which brings together data from two or more relate ...
mod-19
mod-19

... Let v be the partitioning attribute value of a tuple. Tuples such that vi  vi+1 go to disk I + 1. Tuples with v < v0 go to disk 0 and tuples with v  vn-2 go to disk n-1. E.g., with a partitioning vector [5,11], a tuple with partitioning attribute value of 2 will go to disk 0, a tuple with value 8 ...
Process of transformation, storage and data analysis for data mart
Process of transformation, storage and data analysis for data mart

... for analysis from data warehouses or data marts [1]. Data marts are thematically oriented data warehouse designed to mediate information to a department of the organization or geographic location. The difference between data warehouse and data marketplace is determined on the basis of occupied disk ...
RemusDB: Transparent High Availability for Database Systems
RemusDB: Transparent High Availability for Database Systems

... In our setup, shown in Figure 1, two servers are used to provide HA for a DBMS. One server hosts the active VM, which handles all client requests during normal operation. As the active VM runs, its entire state including memory, disk, and active network connections are continuously checkpointed to a ...
Web Security - Computer and Information Science
Web Security - Computer and Information Science

...  “Origin” is too coarse-grained  A trusts B does not mean A trusts the Ads on B’s page. Case 2 ...
Computer Networks
Computer Networks

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Queries of Relatively Stable Data
Queries of Relatively Stable Data

... that provide a way to uniquely identify each attribute name in the schema. This information is readily available at stabilization time and adds little overhead to the stabilization process. The corresponding AttributedTuplel-ist data structure also decorates each entry by an enumerated attribute ide ...
Parallel Databases
Parallel Databases

... Let v be the partitioning attribute value of a tuple. Tuples such that vi  vi+1 go to disk i + 1. Tuples with v < v0 go to disk 0 and tuples with v  vn-2 go to disk n-1. E.g., with a partitioning vector [5,11], a tuple with partitioning attribute value of 2 will go to disk 0, a tuple with value 8 ...
Selecting Actions for Resource-bounded Information Extraction
Selecting Actions for Resource-bounded Information Extraction

... Queries are formed by combining existing, relevant information in the database with user defined keywords. All such queries are issued to the search API, and all of the result documents are downloaded. The resource savings come from selecting a subset of the web documents to process by exploiting th ...
Database
Database

... database by choosing one or more fields to act as keys. • For instance, in a students table you could use a combination of the last name and first name fields (or perhaps last name, first name and birth dates to ensure you identify each student uniquely) as a key field. • Key fields are also used in ...
Connecting SAS
Connecting SAS

OLAP - MPUG
OLAP - MPUG

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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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