connexicatech

CLOUD DATAOPS

At Connexica Technologies Pvt. Ltd., we leverage cutting-edge data science techniques to help our clients unlock the full potential of their data. Our data-driven approach enables us to deliver customized solutions tailored to the unique needs of our clients, ensuring measurable results and sustainable growth in the digital era.

Stages

  1. Define and prioritize project scopes
  2. Outline requirements and plan for the initial sprint
  3. Develop and iterate on software components
  4. Deploy the iteration for production use
  5. Provide ongoing support and maintenance
  6. Retire outdated software versions
  7. Architect solutions for systems including SQL databases, web servers, SAP installations, and other standard systems.

Agile software development sprint planning

DataOps represents a methodical and automated approach to data delivery and analytics, fostering collaboration between data owners and technical teams within an agile framework. It draws inspiration from DevOps principles to enhance quality and reduce time cycles, focusing on culture, methodology, and approach rather than specific tools or technologies.

In the agile software development life cycle (SDLC), tasks are organized into sprints, typically lasting around two weeks. The sprint commences with a planning session where team members prioritize tasks from a backlog, guided by the product manager. Subsequently, the team proceeds with designing, developing, and testing the product before presenting it to stakeholders. Feedback is collected to inform future sprints and improve the product continuously.