Data Ingestion and Storage

Big Data systems require efficient ingestion mechanisms to handle structured, semi-structured, and unstructured data. Common ingestion tools include Apache Kafka, Apache Flume, and AWS Kinesis. Data storage solutions vary based on architecture, including HDFS (Hadoop Distributed File System) for batch processing, NoSQL databases like Apache Cassandra and MongoDB for high-velocity data, and cloud-based data lakes such as AWS S3 and Azure Data Lake.