DATAAIMS

Services

Get strategic advice from an experienced data engineering team to upgrade your company’s old data processing technology stack and obtain an accurate overview of your business by merging various data sources in one place. Build a culture of data-driven decision-making to produce customized reports and constant business insights.

Data pipeline services

  • Development of a customized, optimized, and resilient data pipeline
  • Scheduling and orchestration of pipeline jobs
  • Real-time data streaming pipelines
  • CI/CD for data pipelines
  • Pipeline monitoring and troubleshooting
  • Pipeline integration with BI tools
  • Pipeline scaling for big data

ETL/ELT services

  • Custom ETL workflow development
  • Research of sources to extract data from
  • Data cleaning, validation, and enrichment
  • Data loading into target databases
  • Scheduling and orchestration of ETL jobs
  • ETL performance optimization

Data integration services

  • Development of a customized data pipeline for internal and external data sources
  • API integration
  • Cloud data integration
  • On-premises to cloud data migration and vice versa
  • Legacy system integration
  • Real-time data streaming integration

Data engineering consulting services

  • Data quality assessment
  • Data infrastructure refinement
  • Exploration of datasets to learn relationships among them
  • Data strategy development
  • Evaluation of data governance and security procedures

Data architecture services

  • Elicitation of functional and non-functional requirements
  • Data structure development based on business needs
  • Selection of an optimal architectural framework
  • Data architecture optimization to meet changing business goals

Data modeling services

  • Logical and physical data model design
  • Data warehouse modeling
  • Multi-dimensional/OLAP modeling
  • Document/NoSQL data modeling
  • Model optimization and refinement
  • Model documentation and metadata management

Database development services

  • Database design and modeling
  • Database monitoring, optimization, and maintenance
  • Data migration between databases
  • On-premises or cloud database deployment
  • Data backup and recovery procedures

Data storage services

  • Data warehousing
  • Enterprise data warehouse development
  • Data lake design, implementation, and management
  • Data mart creation and management