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How Do You Build CDC Pipelines on GCP?

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How Do You Build CDC Pipelines on GCP? Introduction GCP Data Engineer workflows increasingly depend on real-time data availability. Change Data Capture enables organizations to move only the data that changes, reducing latency, cost, and complexity while keeping analytics systems continuously updated. In modern cloud environments, batch-only processing is no longer enough. Teams need systems that respond instantly to business events, user behavior, and operational changes. This growing demand for always-fresh data is why CDC has become a critical skill for professionals enrolling in a GCP Data Engineer Course and working on enterprise-scale data platforms. Change Data Capture focuses on identifying inserts, updates, and deletes directly from source databases and delivering them downstream with minimal delay. Instead of reloading entire tables, CDC pipelines track changes at the log level, ensuring accuracy while improving performance and efficiency.   How Do You Build CDC...
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What Is the Role of Pub/Sub in Data Engineering?

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What Is the Role of Pub/Sub in Data Engineering? Introduction GCP Data Engineer professionals work at the center of modern analytics systems where data is generated continuously from applications, devices, and users. In today’s digital environments, data rarely arrives in neat batches; instead, it flows in real time from websites, mobile apps, IoT sensors, and enterprise systems. Handling this constant stream efficiently is a core challenge in data engineering. This is where GCP Data Engineer Course learners often first encounter Google Cloud Pub/Sub as a foundational service for building reliable, event-driven pipelines. Pub/Sub plays a crucial role in decoupling systems, enabling scalability, and ensuring data is delivered exactly when it is needed.   What Is the Role of Pub/Sub in Data Engineering? Understanding Pub/Sub in Google Cloud Pub/Sub is a fully managed, asynchronous messaging service designed for real-time data ingestion and event distribution. It follows a...
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What Is Cloud Storage and How Is It Used in Data Engineering?

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What Is Cloud Storage and How Is It Used in Data Engineering? GCP Data Engineer roles are built around one core responsibility: handling data reliably at scale. Whether the data is coming from applications, sensors, logs, or customer platforms, it must first land somewhere secure, scalable, and cost-effective before any transformation or analytics can happen. This is where Cloud Storage becomes foundational. In the middle of most modern data platforms, especially those designed through GCP Data Engineer Training , Cloud Storage acts as the first landing zone and long-term backbone for enterprise data. Cloud Storage is not just a place to “store files.” In data engineering, it plays a strategic role in ingestion, processing, archival, governance, and recovery. Understanding how it fits into pipelines is essential for building systems that are both flexible and future-proof.   What Is Cloud Storage and How Is It Used in Data Engineering? Understanding Cloud Storage in Simple...
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