The Software Architecture design leads to a better implementation of information systems and responds to organisations' technological and business needs in a practical, efficient, and secure way.
Data Engineering, through its process of acquiring, cleaning, storing and analysing data, allows organisations to gain valuable insights and make informed decisions.
The CCG/ZGDV Institute has a team specialised in designing Software Architecture and Data Engineering.
By characterising the problem through the collection of user requirements, it is possible to define logical and technological software architectures, boost quality attributes and performance on the respective platforms, and develop well-structured, scalable and flexible information systems.
All the stages of data pipeline development are carried out based on the team's expertise in storage and distributed processing technology, considering concerns about data scalability and performance (high volume).
Activities
CCG/ZGDV supports organizations through the following activities:
Software Architecture
- Drawing up use case diagrams that document the user's functional requirements
- Mapping with reference architectures (cloud computing, industry 4.0)
- Adding cloud requirements for deployments in public, private or hybrid clouds
- Derivation of logical architectures with package objects with coherent semantics
- Specification of software packages using design patterns according to the Microservices Architecture paradigm
- Solution software architecture definition
- Impact of non-functional requirements evaluation and design decisions as constraints on development
Data Engineering
- Data processing system architectures design based on Apache Spark technology
- Configuration and maintenance of clusters using Apache Hadoop technology that support the storage of large volumes of data
- Analysing data using data profiling techniques
- Data warehousing and business intelligence
- Decision-orientated analytical dashboard development
- Data lakes and lake houses construction
BENEFITS
Software Architecture
01
Lay a solid foundation by analysing the problem and the solution
Implementing and conveying a vision of the challenge and possible solutions, facilitating communication with all the stakeholders involved
02
Aligning the concepts of scalability, prioritisation and quality management
Prioritise competing objectives, enable and inhibit quality attributes and predict the system's ability to satisfy non-functional requirements
03
Apply reuse and change management
Apply the architecture to a variety of systems and product lines and facilitate the inevitable changes, making them agile to changes in requirements, processes and technology
04
Facilitate integration with different solutions
Integrating different information systems is the key to their management and is fundamental to the growth and success of companies
05
Enhance flexibility
Flexible interfaces that integrate current and future components, mitigating risk. In this way, the system's most complex components can be prioritised in good time
06
Reduce costs in the development phase
Providing an analysis of the organisation's existing information technologies to identify possible cost savings
Data Engineering
01
Identify new business opportunities
Identifying trends and patterns, introducing new business opportunities
02
Improving data quality
Include techniques for cleansing, validating and integrating data, increasing confidence in decision-making
03
Greater data analysis capacity
Facilitate access to large volumes of data and the ability to process them on a large scale, in distributed computing networks
04
Improving data governance
Providing techniques to ensure compliance with regulations and laws
05
Ensuring data security
Include data encryption and obfuscation techniques to protect confidential and sensitive information
06
Reduce costs
Reduce costs through the horizontal scalability of big data systems compared to the vertical scalability of traditional systems
