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

Astera

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. In such scenarios, data replication is a key strategy to ensure redundant systems have synchronized data.

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ETL Batch Processing: A Comprehensive Guide

Astera

Healthcare Data Management In healthcare, ETL batch processing is used to aggregate patient records, medical histories, treatment data, and diagnostics from diverse sources. It also provides a structured and organized way to exchange data between supply chain partners.

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ETL Batch Processing: A Comprehensive Guide

Astera

Healthcare Data Management In healthcare, ETL batch processing is used to aggregate patient records, medical histories, treatment data, and diagnostics from diverse sources. It also provides a structured and organized way to exchange data between supply chain partners.

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Data Warehouse vs. Database: Understanding the Differences

Astera

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. Databases offer a structured and efficient approach to storing, organizing, and retrieving data.

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Data Integration 101: Understanding The Basics

Astera

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

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Data Integration 101: Understanding The Basics

Astera

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

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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.