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

Astera

Real-time CDC is more efficient than traditional ETL (extract, transform, load), which would otherwise be resource-intensive and time-consuming. For instance, a database (SQL Server) of an e-commerce website contains information about customers who place orders on the website.

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EDI Partner Onboarding: Key Steps and Considerations

Astera

Electronic Data Interchange (EDI) plays a pivotal role in this dynamic environment. By serving as a digital bridge, EDI revolutionizes partner transactions by enabling secure and standardized document exchange. Fueled by personalization, inter-partner coordination unlocks new avenues for growth, innovation, and mutual benefit.

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The Future of EDI: Innovations and Trends to Track

Astera

Electronic Data Interchange (EDI) has long been a cornerstone of modern business operations, enabling organizations to exchange business documents and data in a standardized electronic format. IoT devices can collect vast real-time data, providing businesses with instant access to valuable information.

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Data Integration 101: Understanding The Basics

Astera

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. But what exactly does data integration mean?

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Data Integration 101: Understanding The Basics

Astera

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. But what exactly does data integration mean?

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

Data Pine

4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. Best for: For readers that want to learn the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they’re built. Croll and B.

Big Data 105