Data Services

In the realm of IT, data services pertain to external services that assist clients in effectively managing their data. This term is often synonymous with "data as a service" (DaaS), referring to web-delivered services offered by cloud vendors that perform various operations on data.

A diverse array of data services exists, ranging from constructing a central data center repository to aggregating data from multiple components within an architecture. These services may involve tasks such as storing or transferring data, and in the case of large datasets, they could potentially execute various types of analytics.

Data services come with their own set of advantages and drawbacks. Scalability and cost-effectiveness stand out as significant advantages. For example, leveraging third-party data services allows businesses to sidestep the need to maintain infrastructure like servers and other tools. On the flip side, issues related to data security and service usability represent notable drawbacks associated with data services.

Our Clients

Technologies that we use

  • Dot Net
  • Java development
  • NodeJs, angular, ReactJs ,Kotlin, Spring Boot, PHP, Python
  • Cloud Technologies
  • AI & Machine Learning

 

  • Database - SQL / NoSQL
  • ETL & BigData
  • Database - SQL / NoSQL
  • SCRUM, KANBAN, Jira, Confluence
  • Mainframe Modernization