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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Data can be organized into three different zones, as shown in the following figure.

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Download the Redshift JDBC driver.

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Resolve private DNS hostnames for Amazon MSK Connect

AWS Big Data

The connectors were only able to reference hostnames in the connector configuration or plugin that are publicly resolvable and couldn’t resolve private hostnames defined in either a private hosted zone or use DNS servers in another customer network. To upload the data, complete the followings steps: SSH to the MySQL EC2 instance.