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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift. For more information, refer SQL models. Snapshots – These implements type-2 slowly changing dimensions (SCDs) over mutable source tables. For more information, refer to Redshift set up.

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Top 20 most-asked questions about Amazon RDS for Db2 answered

IBM Big Data Hub

In this session:   IBM and AWS discussed the benefits and features of this new fully managed offering spanning availability, security, backups, migration and more. Refer to the Amazon RDS for Db2 pricing page for instances supported. At what level are snapshot-based backups taken? Backup and restore 11.   13.

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Real-time cost savings for Amazon Managed Service for Apache Flink

AWS Big Data

When running Apache Flink applications on Amazon Managed Service for Apache Flink , you have the unique benefit of taking advantage of its serverless nature. This means that cost-optimization exercises can happen at any time—they no longer need to happen in the planning phase. per hour, and attached application storage costs $0.10

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Amazon OpenSearch Service H1 2023 in review

AWS Big Data

With managed domains, you can use advanced capabilities at no extra cost such as cross-cluster search, cross-cluster replication, anomaly detection, semantic search, security analytics, and more. Built on OpenSearch Serverless, the vector engine inherits and benefits from its robust architecture.

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Optimization Strategies for Iceberg Tables

Cloudera

It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts. Problem with too many snapshots Everytime a write operation occurs on an Iceberg table, a new snapshot is created. See Write properties.

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

Compaction is the process of combining these small data and metadata files to improve performance and reduce cost. For more information on streaming applications on AWS, refer to Real-time Data Streaming and Analytics. We use an EMR notebook to demonstrate the benefits of the compaction utility.

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

This greatly improves performance and compute cost in comparison to external tables on Snowflake , because the additional metadata improves pruning in query plans. Snowflake integrates with AWS Glue Data Catalog to retrieve the snapshot location. Snowflake can query across Iceberg and Snowflake table formats.