Overview
With incoming data coming from numerous sources at different speeds and formats, a robust data ingestion framework is needed to help organizations manage this data. We can support this process by building a data ingestion pipeline that collects massive amounts of data from various sources and imports it into storage, such as a data warehouse or data lake. Our data engineers then harness various data ingestion tools to validate, transform, and catalog this data to improve data quality and prepare it for analytics. Whether you’re using data lakes or data warehouses to ingest data, our solutions will empower you to extract value from raw data while supporting multiple analytics use cases.