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

AWS Big Data

Some things to keep in mind: Stateful downgrades are not compatible and will not be accepted due to snapshot incompatibility. Validation of the state snapshot compatibility happens when the application attempts to start in the new runtime version. This helps prevent duplicate data entering the stream processing application.

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

Cloudera

Watch this: Enterprise Software that is so easy a 10 year old can demo it. It is hard for an enterprise infrastructure software company to create simple products. Yet, users of those products want a consumer level of simplicity in enterprise software. the time it took to deploy their software end-to-end. .

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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

Managing the SQL files, integrating cross-team work, incorporating all software engineering principles, and importing external utilities can be a time-consuming task that requires complex design and lots of preparation. In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift.

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CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

In software development, technical debt is often defined as the cost of choosing an easy solution now instead of a better approach that might take longer. Metazoa is the company behind the Salesforce ecosystem’s top software toolset for org management, Metazoa Snapshot. Tools like Metazoa Snapshot make it painless, however.

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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. Your Chance: Want to test a professional logistics analytics software? 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

By including this cohesive mix of visual information, every CFO, regardless of sector, can gain a clear snapshot of the company’s fiscal performance within the first quarter of the year. In this case, financial analytics software might help. Torture the data, and it will confess to anything.”— Ronald Coase. 3) CFO-centric design.