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To accelerate query performance on Apache Iceberg tables in an Amazon S3 data lake, consider leveraging the benefits of AWS Glue’s automated compaction capabilities. This feature enables you to offload the process of identifying and merging small files into a single file, thereby reducing storage costs and improving query efficiency.
Big Data

To accelerate query performance on Apache Iceberg tables in an Amazon S3 data lake, consider leveraging the benefits of AWS Glue’s automated compaction capabilities. This feature enables you to offload the process of identifying and merging small files into a single file, thereby reducing storage costs and improving query efficiency.

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AWS Glue 5.0 enables fine-grained entry management on information lake tables by seamlessly integrating with AWS Lake Formation. This integration empowers data administrators to control access to sensitive data at the table level, leveraging Lake Formation’s centralized governance capabilities.
Big Data

AWS Glue 5.0 enables fine-grained entry management on information lake tables by seamlessly integrating with AWS Lake Formation. This integration empowers data administrators to control access to sensitive data at the table level, leveraging Lake Formation’s centralized governance capabilities.

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AWS Glue’s Knowledge Catalog optimizes Apache Iceberg tables within your Amazon Virtual Private Cloud (VPC).
Big Data

AWS Glue’s Knowledge Catalog optimizes Apache Iceberg tables within your Amazon Virtual Private Cloud (VPC).

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Utilizing Amazon Kinesis Firehose and Apache Iceberg in preview, replicate modifications from databases to Apache Iceberg tables.
Cloud Computing

Utilizing Amazon Kinesis Firehose and Apache Iceberg in preview, replicate modifications from databases to Apache Iceberg tables.

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Amazon Redshift introduces incremental refresh capabilities for materialized views built on Knowledge Lake tables.
Big Data

Amazon Redshift introduces incremental refresh capabilities for materialized views built on Knowledge Lake tables.

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Is materialized view availability a guarantee?
Big Data

Is materialized view availability a guarantee?

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Cloudera’s Lakehouse Optimizer simplifies the process of creating high-performance Iceberg tables, enabling users to tap into the power of efficient data processing.
Big Data

Cloudera’s Lakehouse Optimizer simplifies the process of creating high-performance Iceberg tables, enabling users to tap into the power of efficient data processing.

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As of July 2023, Amazon Lake Formation’s Ruled Tables function will no longer support new table creations and will enter a maintenance mode. This change is a result of evolving data warehousing needs and the increasing adoption of columnar storage for analytics workloads. In the coming months, we anticipate that you will need to migrate your existing ruled tables to alternative solutions that better align with modern data architecture best practices.
Big Data

As of July 2023, Amazon Lake Formation’s Ruled Tables function will no longer support new table creations and will enter a maintenance mode. This change is a result of evolving data warehousing needs and the increasing adoption of columnar storage for analytics workloads. In the coming months, we anticipate that you will need to migrate your existing ruled tables to alternative solutions that better align with modern data architecture best practices.

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AWS Glue’s Knowledge Catalog enhances storage optimisation for Apache Iceberg tables.
Big Data

AWS Glue’s Knowledge Catalog enhances storage optimisation for Apache Iceberg tables.

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