What are the key components of Data Engineering Services?

Key components of Data Engineering Services include data ingestion, data transformation, data storage, and data orchestration. Data ingestion involves collecting data from diverse sources. Transformation ensures the data is clean and formatted for analysis. Storage solutions like data lakes or warehouses hold the data securely. Orchestration automates and manages data pipelines, ensuring seamless data flow. These components work together to provide an integrated environment for handling structured and unstructured data, enabling businesses to perform advanced analytics, support machine learning models, and generate actionable insights.