Data Engineering
Every modern enterprise lives and breathes data on a daily basis. Unless you have access to the right data at the right time, it can affect your decision-making capabilities across the business value chain. But getting your hands on data is merely half the job done. Extracting insights can be challenging too – given that it is entirely dependent on the quality and reliability of your data assets
- Building and implementing a Data Lake
- Designing and implementing Data Pipelines
- Data Integration
- Data Warehousing
- Data Harmonization
- Extract, Transform and Load (ETL)
- Master Data Management
- Data Quality
- Common Data Model (CDM)
- Modern Data Pipelines
- Data Preparation and ETL/ELT
- Data Lake Implementation
- Cloud Data Architecture