Cloud Integration
- AWS, GCP, Azure Cloud data analytics
- Data cleaning
- Development oriented toward the Cloud – Data Factory, Databricks, AWS Glue, Kafka, Fivetran, Blendo.
- Solution development: Big Data Hadoop, Horton, Cloudera, Phyton, Spark, S3
- Non-Relational Databases: MongoDB, Cassandra, Dynamo
- Integration processes and continuous, data-oriented delivery: MLOps and DataOps
On-Premises Integration
- On-premises data analytics using ETL Tools – (ODI, IBM DataStage, SSIS, Information Technology, SAP DataServices, Talend)
- Data cleaning
- Data reconciliation processes
Data Analytics
- Consulting for massive data processing
- Management of multiple data sources
- Generation of relevant information that can help process decision-making
- Advanced analytics solutions, supported by mathematic or statistic models
Migration
- Update versions
- Reduce costs
- Apply security policies