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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

It also applies general software engineering principles like integrating with git repositories, setting up DRYer code, adding functional test cases, and including external libraries. In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift. For more information, refer SQL models.

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

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know?

Big Data 275
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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 our testing, we generated about 58,176 small objects with total size of 2 GB. For running the Amazon EMR tests, we used Amazon EMR version emr-6.11.0 with Spark 3.3.2, and JupyterEnterpriseGateway 2.6.0.

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Your Definitive Guide To KPI Tracking By Utilizing Modern Software & Tools

datapine

Your Chance: Want to test a professional KPI tracking software for free? Benefit from a great tracking system today! By measuring KPIs regularly and automatically, you can increase productivity and decrease costs. . What Are The Benefits Of KPI Tracking? Benefit from a great tracking system today! Sales Target.

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

AWS Big Data

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge and adherence to battle-tested best practices, and using the right tools and features in the right scenario.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. Whenever there is an update to the Iceberg table, a new snapshot of the table is created, and the metadata pointer points to the current table metadata file. The snapshot points to the manifest list.

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Amazon Web Services (AWS) Benefits of Cloud-Based Enterprises

Smart Data Collective

We talked about the benefits of using AWS for SaaS business models , but it can help with many other businesses too. As a service, Amazon provides several benefits that made them widely popular. All of the above lets the developer fully test Amazon API web services for their software. That benefits in the long run.