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Software for database and application development is a vast area of business in the UK Channel. Sigma sell products that cover everything from the computer programming, documenting, testing, and bug fixing involved in creating and maintaining applications and frameworks throughout a software release life cycle.

Database Development Process

Database Development Process

  • 1. Requirement Gathering

    All requirements of the system being developed are captured and documented in a requirement specification.

  • 2. System Design

    Requirement specifications are studied and system design is prepared to defineoverall system architecture; hardware and system requirements.

  • 3. Development

    Based on the system design, the database is first developed in small programs called units ready for integration in the next phase.

  • 4. Integration and Testing

    All units developed in the implementation phase are integrated into a system after testing of each unit. Post integrations, the entire system is tested for any faults and failures.

  • 5. Deployment

    Once testing is complete, the database is deployed in the customer environment or released into the market.

  • 6. Management and Maintenance

    Once in the customer environment, developers release product updates.

Application Development Process

Application Development Process

  • 1. Scoping

    Identifying need and solution through detailed research with stakeholders and end users.

  • 2. Design architecture

    Detailed blueprint of processes and logical design produced Identify the best software to build application.

  • 3. Development

    Precision coding through multiple development teams.

  • 4. Integration

    Developers combine individual work and validate before testing.

  • 5. Testing Phase

    Thorough testing for errors across all functionality using multiple test cases.

  • 6. Deployment

    Software is prepared for release, then installed and activated by the end user.

  • 7. Management and Maintenance

    Once in the customer environment, developers release product updates.

Gone from struggling with data silos to getting lost in the data lake?

New big data solutions have solved the problems of being able to track, manage & consume data that was previously distributed in silos across the organisation, trapped in local business units, applications, data warehouses & spreadsheets. Yet while these innovative technologies are good at liberating & colocating data, this now often creates an unusable data lake, without rigid structure & where context, meaning & sources are lost. If this sounds like a familiar story for your customers, help them regain control of their data architecture with these database products

The daily grind for Data Management Professionals just got a whole lot harder...

With a 50x growth in big data from 2010 to 2020 coupled with it becoming more diverse and updated more frequently, the role of data management professionals has become increasingly complex. Today they face three clear challenges, on top of just coping with the sheer volume of data:

  • Utilising enterprise data to profit the organisation
  • Managing and improving data quality
  • Efficiently communicating data within the organisation

Utilising enterprise data to profit the organisation Managing and improving data quality Efficiently communicating data within the organisation.

In order to create and maintain large data models and then make incremental improvements to give their organisations impressive competitive advantages and simplify decision making processes, there are a number of tools available from Sigma that will help make the day job of a Data Professional much easier.