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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

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How Pet Family Used Data to Thrive Under COVID

Sisense

Iain also wanted to improve access to data across the organization, ensuring that employees throughout the business could easily view, analyze, and use real-time data, regardless of their technical ability. Sales information is immediate, analysis is undertaken in real time, and decisions follow.

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Using Data to Weather the Storm: YourDMS and Pets Corner

Sisense

Iain also wanted to improve access to data across the organization, ensuring that employees throughout the business could easily view, analyze, and use real-time data, regardless of their technical ability. The warehouse is responsible for shipping to all stores, wholesale customers, e-commerce, and individual customers.

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OLTP and OLAP: Two Sides of the Same Data Coin?

Astera

This results in efficient data storage and retrieval Optimized for write operations: OLTP systems optimize write operations, allowing them to handle a large number of data inserts, updates, and deletes efficiently.This is critical for applications that require real-time data updates. What is OLAP?