Data Ingestion Techniques
Data ingestion is a critical component of the data life cycle and sets the foundation for subsequent data transformation and cleaning. It involves the process of collecting and importing data from various sources into a storage system where it can be accessed and analyzed. Effective data ingestion is crucial for ensuring data quality, integrity, and availability, which directly impacts the efficiency and accuracy of data transformation and cleaning processes. In this chapter, we will dive deep into the different types of data sources, explore various data ingestion methods, and discuss their respective advantages, disadvantages, and real-world applications.
In this chapter, we’ll cover the following topics:
- Ingesting data in batch mode
- Ingesting data in streaming mode
- Real-time versus semi-real-time ingestion
- Data sources technologies
