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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset. Dataset details The test dataset contains 104 columns and 1 million rows stored in Parquet format. Create a folder in the S3 bucket called isocodes and upload the isocodes.csv file.

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Error Metrics: How to Evaluate Your Forecasts

Jedox

When considering the performance of any forecasting model, the prediction values it produces must be evaluated. An error metric is a way to quantify the performance of a model and provides a way for the forecaster to quantitatively compare different models 1. Where y’ is forecasted value and y is the true value.

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Top 15 Warehouse KPIs & Metrics For Efficient Management 

datapine

A Warehouse KPI is a measurement that helps warehousing managers to track the performance of their inventory management, order fulfillment, picking and packing, transportation, and overall operations. These powerful measurements will allow you to track all activities in real-time to ensure everything runs smoothly and safely.

Metrics 217
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Climate Change and the need to look back as well as forward

Jen Stirrup

For example, India is also using AI to enhance weather forecasting and climate modelling. The Indian government is testing AI-powered climate models to improve weather forecasts across the country [3]. Artificial Intelligence is one way forward to tackling the issues of climate change.

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

datapine

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. Your Chance: Want to test a professional logistics analytics software? Your Chance: Want to test a professional logistics analytics software? Where is all of that data going to come from?

Big Data 275
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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment.

Insurance 250
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The Janusian Faces of Generative AI and its Role in Enhancing and Endangering Cybersecurity

Jen Stirrup

This post aims to delve into the dichotomous nature of generative AI, shedding light on its potential to bolster our security measures and serve as a tool for unprecedented cyberattacks. Organisations do not always back up and test restoration of databases efficiently. during the forecast period. during the forecast period.

IT 63