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Ingesting data is typically the first step in building your data pipelines. The growing landscape of data types like unstructured data, incremental data, and open table formats such as Apache Iceberg makes it all the more critical to build durable data pipelines, land the data immediately, apply the desired schema structure, and provide quality outputs for different types of use cases. Join this session to explore specific solutions that can help solve for different data ingestion challenges. Learn about the robust architectures and key strategies for efficiently ingesting and processing data with services like AWS Glue, Amazon Kinesis, Amazon Redshift, and Amazon OpenSearch Service.