Managing of databases, data lakes and data warehouses of any size and complexity, data migration, streaming and batch pipelines, analysis and visualization to get all value from data.
Data Lakes and Data warehouses
Design of data lakes that are structured based on the business operative delivering the best performance when navigating them and saving storage capacity. Optimal solutions in On-premises with Cloudera or in the cloud with AWS, Azure and GCP.
Data Pipelines
Engineering of data flows that apply ad-hoc transformations to batch and streaming data sources. Transformations types: data enrichment, compatibility with data destination or Enterprise document management (EDM) for compliance audit requirements.
Data Migration
Data migration from different databases, data lakes and data warehouses. Analysis of the use case requirements for the migration and prescription of the best technology for destination and possible ETL process.
Control panel
ad-hoc control panels for clear visualization of KPIs, analytics reports, security monitoring or other use cases. Automatic scheduling for sending reports or alerts via email, SMS and instant messaging.
