Started in 1986, NIFT is the developed institute of fashion education in the country and it is the major lead for providing professional human resources to the textile and apparel industry. Over the years NIFT has been working as a knowledge service provider to all the union and state governments in the area of design development and positioning of handlooms and handicrafts.
The IAAXIN starts supporting the NIFT from 2012, We are offering the data management services in the NIFT campus. We enhance NIFT with full support for the server and security maintenance service in an effective way with no disturbing service.
Our services in NIFT:
Data Management service
The Data Management service provides consistent, accurate and reliable access to data across a different network by integrating real-time data quality, data integration, and data governance in a routine way. With the help of the server, you can reflect your business rules for acceptable data across many applications and systems.
The Data Management service provides a service-oriented architecture that allows you to execute the batch files in the server-based platform. You can translate the batch jobs into real-time services and can also reuse the business logic that is used for data migration.
We are maintaining all the inbound and outbound data of the NIFT in the designed architecture of our server. The data stored in the server that is secured through the network security algorithm.
Threat Monitoring is a type of solution and a process that continuously monitors the networks or an endpoint for the signals of security threats such as data intervention or data filtration. It enables strong data protection, data prevention and reduces the chances for data damage caused by the crackers. We use very sensitive coding to secure the data from threats.
Threat monitoring includes endless analyzing and regular evaluation of data in order to identify the cyber-attacks and data cracking. Threat monitoring results in the collection of data and information from the network sensors and the endpoint agents and identifies the pattern of the threats.
In this segment, our server is already inbuilt with the threat detecting algorithms in the entry wall. If there is any threat detection, it is automatically detected in the entry level of the website, where the algorithm used in our servers avoids the data cracking of the website.
It is the process of making a duplication of data from one device to another storage device in real time. The data is copied in real-time, where the information stored from the original location will be the exact copy of the data. The main cause for the data mirroring is to make a faster recovery of the data in a critical situation.
Data mirroring is done in the administration part, here the original files are made a duplicate copy and stored in some other location of the servers, it is done for faster recovery of the data in the critical situation.
Load Balancing is a technique which is effectively used for the distribution of the website network traffic to the group of backend servers. Modern high traffic servers will engage high traffic in the mode of images videos and application data in the fastest way of manner. To control the cost-effective scale of the high volumes, the best that generally requires adding more servers for the data.
Load balancing is the concept we execute in the NIFT servers is balancing the data and the application used by the students and the data is maintained in the separate servers. If the efficiency of one server goes down the data are automatically got hitched by the alternative servers in order to avoid the loss of data
In this, the managing and monitoring the performance of the computer servers is done in a systematic way and the servers are checked out that the operation of the servers and the performance of the servers are checked in the routine basis to enhance the operations of the servers.