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

AWS Big Data

Systems of this nature generate a huge number of small objects and need attention to compact them to a more optimal size for faster reading, such as 128 MB, 256 MB, or 512 MB. For more information on streaming applications on AWS, refer to Real-time Data Streaming and Analytics. impl":"org.apache.iceberg.aws.s3.S3FileIO",

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In-place version upgrades for applications on Amazon Managed Service for Apache Flink now supported

AWS Big Data

Refer to Upgrading Applications and Flink Versions for more information about how to avoid any unexpected inconsistencies. Some things to keep in mind: Stateful downgrades are not compatible and will not be accepted due to snapshot incompatibility. This helps prevent duplicate data entering the stream processing application.

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Analyze Elastic IP usage history using Amazon Athena and AWS CloudTrail

AWS Big Data

You can use this solution regularly as part of your cost-optimization efforts to safely remove unused EIPs to reduce your costs. By extracting detailed information from CloudTrail and querying it using Athena, this solution streamlines the process of data collection, analysis, and reporting of EIP usage within an AWS account.

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Use Amazon Athena with Spark SQL for your open-source transactional table formats

AWS Big Data

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. For more information, refer to Amazon S3: Allows read and write access to objects in an S3 Bucket.

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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. In an optimal environment, we store the credentials in AWS Secrets Manager and retrieve them. For more information, refer SQL models. For more information, refer to Redshift set up.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. To work effectively, big data requires a large amount of high-quality information sources. A testament to the rising role of optimization in logistics.

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Your Introduction To CFO Dashboards & Reports In The Digital Age

datapine

Serving as a central, interactive hub for a host of essential fiscal information, CFO dashboards host dynamic financial KPIs and intuitive analytical tools, as well as consolidate data in a way that is digestible and improves the decision-making process. What Is A CFO Report?