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Your company is building a data lake on AWS. The data lake will store both batch and streaming data. You need to design a data ingestion pipeline that can handle both types of data. Which AWS services would you use, and how would you design the pipeline?
A
Use Amazon S3 for both batch and streaming data storage, and use AWS Lambda to process the data
B
Use Amazon Kinesis for streaming data ingestion, and use Amazon S3 for batch data storage
C
Use Amazon DynamoDB for both batch and streaming data storage, and use AWS Glue for data processing
D
Use Amazon Redshift for batch data storage, and use Amazon Kinesis for streaming data ingestion