#Article #Data_Engineering #Cloud_Architecture #Data_Science #Database_Administration #Mongodb #Software_Engineering
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Towards Data Science
The Shape‑First Tune‑Up Provides Organizations with a Means to Reduce MongoDB Expenses by 79%
A real-world engineering fix that saved over $12K/month on MongoDB without upgrading infrastructure.
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Towards Data Science
How to Reduce Your Power BI Model Size by 90%
Have you ever wondered what makes Power BI so fast and powerful when it comes to performance? Learn on a real-life example about data model optimization and general rules for reducing data model
From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle
#Article #Data_Engineering #AWS #Data_Pipeline #Data_Science #Etl #Python
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#Article #Data_Engineering #AWS #Data_Pipeline #Data_Science #Etl #Python
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Telegraph
From Configuration to Orchestration: Building an ETL Workflo…
A step-by-step guide to leverage AWS services for efficient data pipeline automation The post From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle appeared…
The Mythical Pivot Point from Buy to Build for Data Platforms
#Article #Data_Engineering #Artificial_Intelligence #Data_Architecture #Data_Platform #Data_Science #Product_Management
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#Article #Data_Engineering #Artificial_Intelligence #Data_Architecture #Data_Platform #Data_Science #Product_Management
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Towards Data Science
The Mythical Pivot Point from Buy to Build for Data Platforms
For companies with data-intensive architectures, there often comes a pivotal point where building in-house data platforms makes more sense than buying off-the-shelf solutions