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CASSANDRA

BRAMPTON-Canada

Company Name:
Corporate Name:
CASSANDRA
Company Title:  
Company Description:  
Keywords to Search:  
Company Address: 3 Knightsbridge Rd,BRAMPTON,ON,Canada 
ZIP Code:
Postal Code:
L6T 
Telephone Number: 9054872623 
Fax Number:  
Website:
 
Email:
 
USA SIC Code(Standard Industrial Classification Code):
0 
USA SIC Description:
Apartments 
Number of Employees:
 
Sales Amount:
$1 to 2.5 million 
Credit History:
Credit Report:
Very Good 
Contact Person:
 
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Previous company profile:
CASTELLO LANDSCAPE CONSTRUCTION
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Company News:
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  • Apache Cassandra | Apache Cassandra Documentation
    Java drivers for Cassandra are also available on Maven Central Debian and RedHat package repositories have moved! Debian’s sources list and RedHat’s cassandra repo files must be updated to point to the new repository URLs (see below)
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    This is the official documentation for Apache Cassandra If you would like to contribute to this documentation, you are welcome to do so by submitting your contribution like any other patch following these instructions
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    Install the RPM build on CentOS and RHEL-based distributions if you want to install Cassandra using YUM Install the Debian build on Ubuntu and other Debian-based distributions if you want to install Cassandra using APT
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    Read through the Cassandra Basics to learn main concepts and how Cassandra works at a high level To understand Cassandra in more detail, head over to the Docs Browse through the Case Studies to learn how other users in our worldwide community are getting value out of Cassandra
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    Apache Cassandra powers mission-critical deployments with improved performance and unparalleled levels of scale in the cloud
  • Getting Started | Apache Cassandra Documentation
    Additional information This section covers how to get started using Apache Cassandra and should be the first thing to read if you are new to Cassandra
  • Overview | Apache Cassandra Documentation
    Apache Cassandra was designed as a best-in-class combination of both systems to meet emerging large scale, both in data footprint and query volume, storage requirements




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