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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

Alongside their partner AWS, they participated in AWS Data-Driven Everything (D2E) workshops and a bespoke AWS Immersion Day workshop that catered to their needs to improve their engagement with their customers. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

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Meta-Learning For Better Machine Learning

Rocket-Powered Data Science

So, you start by assuming a value for k and making random assumptions about the cluster means, and then iterate until you find the optimal set of clusters, based upon some evaluation metric. There are several choices for such evaluation metrics: Dunn index, Davies-Bouldin index, C-index, and Silhouette analysis are just a few examples.

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Improve reliability and reduce costs of your Apache Spark workloads with vertical autoscaling on Amazon EMR on EKS

AWS Big Data

This has a few advantages: If a pod is optimally sized, the Kubernetes scheduler can efficiently pack in more pods in a single node, leading to better utilization of the underlying cluster. The Amazon EMR on EKS uplift is charged based on the vCPU and memory resources consumed by a Kubernetes pod.This means an optimally sized pod is cheaper.

Metrics 81
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Elevate Your Protection Strategy at CSO’s Future of Cybersecurity Summit

CIO Business Intelligence

Metrics that create a narrative and show how the business compares to competitors, the wider industry, and globally against all businesses give a clear picture that allows board members to set strategy. They want something that’s going to punch them in the face,” he said.

Strategy 120
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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. Solution overview In today’s highly competitive business landscape, it’s essential for retailers to optimize their inventory management processes to maximize profitability and improve customer satisfaction.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

Determining optimal table partitioning Determining optimal partitioning for each table is very important in order to optimize query performance and minimize the impact on teams querying the tables when partitioning changes. The following diagram illustrates the solution architecture. Orca addressed this in several ways.

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Accelerate change with Value Stream Management

CIO Business Intelligence

VSM promotes autonomy and accountability across these teams, so they can pivot rapidly when necessary to optimize value creation and delivery, which dramatically increases the overall effectiveness of the entire organization. Customers ask, “How can Broadcom help?” Of course, it really depends on where they are on their journey.