- Data Integration
- Data Warehousing
- Data Pipeline Development
- Big Data Processing
- Cloud Data Services
- Data Governance
This service involves integrating data from multiple sources into a single, unified format. This can include extracting data from databases, flat files, APIs, and other sources, and transforming the data to ensure consistency and accuracy.
This service involves building and maintaining a data warehouse, which is a central repository of data that can be used for reporting and analysis. This can include designing the data schema, building ETL pipelines to load data into the warehouse, and ensuring data quality and consistency.
Data Pipeline Development:
This service involves building and maintaining data pipelines that move data from source systems to target systems, using MS Azure Synapse Analytics. This can include designing and implementing ETL processes, integrating with APIs and other data sources, and ensuring data quality and consistency throughout the pipeline.
Big Data Processing:
This service involves processing large volumes of data using MS Azure DataBricks. This can include designing and implementing big data pipelines, optimizing performance and scalability, and ensuring data quality and consistency.
Cloud Data Services:
This service involves building and maintaining cloud-based data solutions using MS Azure. This can include designing and implementing cloud-based data pipelines, integrating with cloud-based services and ensuring data security and compliance.
This service involves establishing policies and procedures for managing data throughout its lifecycle. This can include defining data standards, ensuring compliance with regulations such as GDPR or CCPA, and implementing data security measures to protect sensitive data.