dataengineering

How to Replicate MySQL Changes to Redshift Using DMS

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Keeping data warehouses synchronized with operational databases is a fundamental challenge in modern data architectures. Organizations need their analytical systems to reflect current business operations without impacting the performance of production databases. AWS Database Migration Service (DMS) provides a robust solution for replicating MySQL changes to Amazon Redshift in near real-time, enabling analytics on fresh … Read more

EMR vs Glue: Choosing the Right AWS Data Processing Service

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Processing large-scale data in the cloud requires careful selection of the right tools and services. Amazon Web Services offers two prominent data processing platforms that often appear in technical discussions: Amazon EMR (Elastic MapReduce) and AWS Glue. While both services enable big data processing and transformation, they represent fundamentally different approaches to solving data engineering … Read more

Airflow vs Step Functions: Choosing the Right Orchestration Tool

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Orchestrating complex data pipelines and workflows has become a critical capability for modern data engineering and machine learning operations. Two prominent solutions have emerged as leaders in this space: Apache Airflow, the open-source workflow management platform originally developed at Airbnb, and AWS Step Functions, Amazon’s fully managed serverless orchestration service. While both tools solve workflow … Read more

What is Debezium and How It Works

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In today’s data-driven world, organizations need real-time access to their data as it changes. Traditional batch processing approaches that sync data every few hours or once daily are no longer sufficient for modern applications that demand immediate insights and responsiveness. This is where Change Data Capture (CDC) tools like Debezium become essential. Debezium has emerged … Read more

How to Stream MySQL Binlog Changes Using Debezium

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Debezium has emerged as the leading open-source platform for change data capture, transforming how organizations stream database changes into event-driven architectures. Unlike polling-based approaches that strain databases or proprietary CDC tools that lock you into vendor ecosystems, Debezium reads MySQL binary logs directly, capturing every insert, update, and delete with minimal source database impact. Understanding … Read more

Building End-to-End CDC on AWS

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Change Data Capture has evolved from a specialized database replication technique into a fundamental pattern for modern data architectures. Building production-grade CDC pipelines on AWS requires orchestrating multiple services—DMS for change capture, Kinesis or MSK for streaming, Lambda or Glue for transformation, and S3 or data warehouses for storage. The complexity lies not in any … Read more

AWS DMS Continuous Replication vs Full Load

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AWS Database Migration Service offers multiple approaches to moving data between databases, each optimized for different scenarios and constraints. The choice between full load and continuous replication fundamentally shapes your migration architecture, operational complexity, and business continuity capabilities. Understanding these patterns deeply—not just what they do but when each excels and where each struggles—enables you … Read more

Column-Based vs Row-Based Database

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In the world of database management systems, few architectural decisions have as profound an impact on performance and use cases as the choice between row-based and column-based storage. While both approaches store the same data and can answer the same queries, the way they physically organize information on disk fundamentally changes their performance characteristics, optimal … Read more

When NOT to Use CDC (Change Data Capture)

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Change Data Capture has become a popular pattern for data integration, real-time analytics, and event-driven architectures. The ability to track database changes and propagate them to downstream systems sounds universally beneficial. Yet CDC implementations frequently create more problems than they solve when applied inappropriately. Understanding when CDC is the wrong choice saves organizations from architectural … Read more

Debezium vs AWS DMS: Choosing the Right Change Data Capture Solution

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Selecting a Change Data Capture solution represents a critical architectural decision that impacts data freshness, operational complexity, and integration patterns for years. Debezium and AWS Database Migration Service (DMS) stand as two prominent CDC options, each with distinct philosophies, capabilities, and operational models. Debezium offers open-source flexibility and deep integration with streaming platforms, while DMS … Read more