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Reduce Friction In Your Business Analytics Through Entity Centric Data Modeling

Data Engineering Podcast

Summary For business analytics the way that you model the data in your warehouse has a lasting impact on what types of questions can be answered quickly and easily. The major strategies in use today were created decades ago when the software and hardware for warehouse databases were far more constrained. ETL scripts, etc.)

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Data Engineering Weekly #182

Data Engineering Weekly

Switching from Apache Spark to Ray improves compact 12X larger datasets than Apache Spark, improves cost efficiency by 91%, and processes 13X more data per hour. Adopting LLM in SQL-centric workflow is particularly interesting since companies increasingly try text-2-SQL to boost data usage.

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Unlocking Operational Efficiency: A Major Home Improvement Retailer’s Path to Data Modernization with Striim

Striim

Organizations across various industries require real-time access to data to drive decisions, enhance customer experiences, and streamline operations. A leading home improvement retailer recognized the need to modernize its data infrastructure in order to move data from legacy systems to the cloud and improve operational efficiency.

Retail 52
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Data Engineering Weekly #186

Data Engineering Weekly

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. Try For Free → Conference Alert: Data Engineering for AI/ML This is a virtual conference at the intersection of Data and AI. You will not hear the words AGI.

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AWS DMS Redshift: Migrate Data to Redshift using AWS DMS

Hevo

In the modern data-centric world, efficient data transfer and management are essential to staying competitive. AWS offers robust tools to facilitate this, including the AWS Database Migration Service (DMS).Most In 2024, over 11441 companies1 […]

AWS 52
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Data Engineering Weekly #196

Data Engineering Weekly

The blog emphasizes the importance of starting with a clear client focus to avoid over-engineering and ensure user-centric development. The challenges around memory, data size, and runtime are exciting to read. This count helps to ensure data consistency when deleting and compacting segments.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog: Data Engineering

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.