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Fundamentals of Data Analytics

The BAWorld

The blog discusses key elements including tools, applications, future trends, and fundamentals of data analytics, providing comprehensive insights for professionals and enthusiasts in the field. Patient data analysis identifies patterns, predicts health risks, and tailors treatment plans.

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API-Led Connectivity: A Complete Guide

Astera

Process APIs ensure that the different systems and applications work together harmoniously by orchestrating the sequence and flow of data between them. Here are a few examples: Order Processing: Consider an e-commerce platform that involves multiple steps—like inventory check, payment processing, shipping, and notification.

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What Is Change Data Capture (CDC): Methods, Benefits, and Challenges

Astera

For instance, a database (SQL Server) of an e-commerce website contains information about customers who place orders on the website. This is particularly important in sectors like e-commerce and telecommunication, where uninterrupted access to up-to-date data is essential for customer service and compliance.

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API-Led Connectivity: A Complete Guide

Astera

Process APIs ensure that the different systems and applications work together harmoniously by orchestrating the sequence and flow of data between them. Here are a few examples: Order Processing: Consider an e-commerce platform that involves multiple steps—like inventory check, payment processing, shipping, and notification.

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The Top 7 Data Aggregation Tools in 2024

Astera

Data aggregation tools allow businesses to harness the power of their collective data, often siloed across different systems and formats. By aggregating data, these tools provide a unified view crucial for informed decision-making, trend analysis, and strategic planning. Who Uses Data Aggregation Tools?

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Data Warehouse vs. Database: Understanding the Differences

Astera

Data warehouses employ a process called Extract, Transform, Load (ETL) , whereby data is extracted from different operational systems, such as customer relationship management (CRM) platforms, enterprise resource planning (ERP) systems and more and then it undergoes a transformation process to ensure consistency and compatibility.

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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

Federated Computational Governance: Governance standards are collaboratively applied across domains, ensuring data quality, security, and compliance while allowing for domain-specific customization. Data Vault achieves this through versioning and change management, while Data Mesh relies on domain teams to adapt their data products.