Services
We create efficient and secure data infrastructures for your operations, ensuring data is ready to be used effectively.
"The objective of the Data Engineering service is to create and maintain efficient, secure and scalable data infrastructures that support company operations. This includes ensuring data quality and integrity, optimizing the flow of information, and implementing storage and security solutions that enable fast, informed decision-making."
Operational
Efficiency
Optimized data infrastructures that improve operations performance, resulting in faster, more efficient processes.
Quality and
Reliability of Data
Implementation of rigorous quality and observability practices, ensuring that the data used is accurate and reliable.
Data
Security
Robust security measures that protect sensitive data, ensuring regulatory compliance and preventing data breaches.
Systems
Integration
Effective strategies for migrating to the cloud and integrating different systems, facilitating access and use of data across the organization.
Areas Evaluated
We create robust and secure infrastructures to support efficient data operations, ensuring quality, security and agility in the flow of information in your company.
Process
How we start work in your company
01 /
Data Needs Assessment
Conduct a detailed analysis of the organization's current data environment to identify requirements, gaps, and opportunities for improvement, clearly defining data engineering goals.
02 /
Infrastructure Creation
Design and implement data infrastructure, including storage, data pipelines, and security practices, ensuring all components are integrated and optimized for efficiency and scalability.
03 /
Monitoring
and Continuous Improvement
Establish monitoring processes for data quality and performance, continually adjusting and improving infrastructure as business needs evolve and new challenges emerge.
Process
How we start work in your company
01 /
Data Needs Assessment
Conduct a detailed analysis of the organization's current data environment to identify requirements, gaps, and opportunities for improvement, clearly defining data engineering goals.
02 /
Infrastructure Creation
Design and implement data infrastructure, including storage, data pipelines, and security practices, ensuring all components are integrated and optimized for efficiency and scalability.
03 /
Monitoring
and Continuous Improvement
Establish monitoring processes for data quality and performance, continually adjusting and improving infrastructure as business needs evolve and new challenges emerge.
Find out more
SDNA has more than 6 years of experience in the market delivering excellent data and intelligence solutions to its customers.
Other Services
Check out some of the other services we offer below:
