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Data engineering plays a crucial role in preparing and preprocessing the data to make it suitable for ML models. In this article, we will explore

Data modeling and design are critical components of creating a scalable data architecture. In today’s data-driven world, organizations rely on their data to make informed

As organizations move towards microservices architecture, there is a growing need for seamless data integration to ensure that data flows smoothly between different services and

With the increasing amount of data generated from sources like social media, IoT devices, and e-commerce transactions, the need for real-time data processing and analytics

Data engineering is an important aspect of modern businesses as they rely heavily on data to make informed decisions. With the growth of big data,

Data is the lifeblood of organizations today, driving decisions, powering operations, and providing insights into the health of businesses. However, as organizations generate and use