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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. As of this writing, only the optimize-data optimization is supported. Note the last four newly added configurations in the following statement.

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Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 2

AWS Big Data

We’ve already discussed how checkpoints, when triggered by the job manager, signal all source operators to snapshot their state, which is then broadcasted as a special record called a checkpoint barrier. When barriers from all upstream partitions have arrived, the sub-task takes a snapshot of its state.

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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. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275
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Getting Started With Incremental Sales – Best Practices & Examples

datapine

Incremental Sales Calculation As mentioned, incremental sales are used by businesses as a key performance indicator to measure the financial success of their promotional efforts. To ensure you yield the results you desire, first establish your goals, then decide on the metrics that you will need to track to measure your performance.

Sales 176
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Defining Simplicity for Enterprise Software as “a 10 Year Old Can Demo it”

Cloudera

Further, how do you measure progress and convey to engineering that they are making progress? There is so much we cannot measure about the impact of a user experience. We can’t measure the little smile a product can put on someone’s face. Create a snapshot . Export the snapshot to the destination in the Cloud.

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. String-optimized compression The Data Vault 2.0 You can use this mechanism to optimize merge operations while still making the data accessible from within Amazon Redshift.

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Monitor and Address Anomalies to Keep Your Business On Track!

Smarten

Discover the power of Smarten SnapShot Anomaly Monitoring And Alerts , and Augmented Analytics Products.