Which of the following is a method of data ingestion in Big Data?

Data ingestion refers to the process of obtaining and importing data for immediate use or storage in a database. In the context of Big Data, there are several techniques to ingest data, and both manual entry and batch processing are valid methods.

Manual entry is a straightforward approach where individuals input data directly into a system. It is often used in situations where data volumes are manageable or when human oversight is necessary.

Batch processing, on the other hand, involves collecting data over a certain period and then processing it as a single unit. This method is effective for handling large volumes of data efficiently, allowing for significant non-real-time processing, which is particularly advantageous in Big Data scenarios.

Additionally, real-time streaming also serves as a method of data ingestion, allowing continuous input of data as it is generated, enabling immediate processing and analysis.

Therefore, the answer encompasses both manual entry and batch processing, indicating that different techniques can be utilized depending on the context and requirements of data ingestion in Big Data environments.