Using Amazon Data Firehose For Iceberg Table Replication

Capturing, transforming, and loading streaming data is simple. With a few clicks, you can create a delivery stream, choose your destination

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Provide and scale network, memory, and processing resources automatically without constant management

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Without creating your own processing pipelines, you may dynamically segment streaming data and convert raw streaming data into formats like Apache Parquet

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Setting up a stream with a source, destination, and necessary modifications is necessary in order to use Amazon Data Firehose

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AWS WAF web ACL logs, AWS Network Firewall Logs, Amazon SNS, or AWS IoT because Amazon Data Firehose is connected into more than 20 AWS services

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Choose a destination for your stream, such as Splunk, Snowflake, Amazon Redshift, Amazon OpenSearch Service, Amazon S3

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You have two options when configuring an Amazon Data Firehose delivery stream: you may define a class of tables and columns using wildcards

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