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Use Snowflake with Amazon MWAA to orchestrate data pipelines

AWS Big Data

To create the connection string, the Snowflake host and account name is required. Using the worksheet, run the following SQL commands to find the host and account name. The account, host, user, password, and warehouse can differ based on your setup. Choose Next. For Secret name , enter airflow/connections/snowflake_accountadmin.

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The Modern Data Stack Explained: What The Future Holds

Alation

These help data analysts visualize key insights that can help you make better data-backed decisions. ELT Data Transformation Tools: ELT data transformation tools are used to extract, load, and transform your data. Examples of data transformation tools include dbt and dataform.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

The system ingests data from various sources such as cloud resources, cloud activity logs, and API access logs, and processes billions of messages, resulting in terabytes of data daily. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

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Build a data lake with Apache Flink on Amazon EMR

AWS Big Data

The Amazon EMR Flink CDC connector reads the binlog data and processes the data. Transformed data can be stored in Amazon S3. We use the AWS Glue Data Catalog to store the metadata such as table schema and table location. the Flink table API/SQL can integrate with the AWS Glue Data Catalog.