Transformation of data into information managing the analytical life cycle of the organization.

DataLakes

Our team of consultants is trained and prepared to accompany you in the migration and stabilization processes of cloud architectures.

We are experts in lake formation and in maximizing AWS, AZURE and GOOGLE technologies to ingest, transform and manage data by creating efficient repositories that facilitate information management.

ETL and ELT processes in SQL and NoSQL environments.

Relational and non-relational databases

Once your data is in the cloud, we accompany processes that facilitate the creation of data models, data warehouses or lake houses in order to organize the information and make it speak in business terms.

We control cloud cost through efficient implementation methodologies.

Information display and consumption

The business will only see value when it sees the results of the process, when it experiences the data with relevant, dynamic and attractive reports that facilitate decision making.

Although our team is certified in technologies such as Qlick, Tableau and Power BI among others, the AWS architecture suggests QuickSight as a good practice for working in the cloud.