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#data-engineering

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7 articles

The 'Small Files' Problem in Data Lakes: Why Your Kafka Sink is Slow

The 'Small Files' Problem: The Data Lake Killer Mental Model > Breaking down a complex problem into its most efficient algorithmic primitive. Streaming data from Kafka into a Data Lake (like Amazon S3 or Azure Blob Stora…

Apr 20, 20267 min read

Deep DiveMANG Interview Problem Bank

#aws#data-engineering#dsa

AWSAdvanced

S3 Express One Zone: When to Use it for Stateful Workloads

S3 Express One Zone Mental Model > Applying Staff-level engineering principles to build robust, production-grade software. Amazon S3 Express One Zone stores data in a single AZ, reducing network hops and latency. It's no…

Apr 20, 20265 min read

Deep DiveBackend Systems Mastery

#ai-ml#aws#data-engineering

Data EngineeringAdvanced

Windowing in Stream Processing: Tumbling, Sliding, and Session Windows

Windowing in Stream Processing: Timing is Everything Mental Model > Applying Staff-level engineering principles to build robust, production-grade software. In stream processing (Kafka Streams, Flink, Spark Streaming), yo…

Apr 20, 20267 min read

Deep DiveStaff Engineer Playbooks

#data-engineering#messaging

System DesignAdvanced

System Design: Designing an Ad Click Aggregator

Ad click aggregation is a massive scale data problem. When billions of users click on ads across the web, those clicks must be aggregated, deduplicated, and stored for both real-time analytics (advertiser dashboards) and…

Apr 20, 20268 min read

Deep DiveSystem Design Interview Mastery

#data-engineering#messaging#system-design

System DesignAdvanced

System Design: Designing a Distributed File System (HDFS/GCS Style)

System Design: Designing a Distributed File System (HDFS) Mental Model > Connecting isolated components into a resilient, scalable, and observable distributed web. A Distributed File System (like HDFS or GFS) is designed…

Apr 20, 20267 min read

Deep DiveSystem Design Interview Mastery

#ai-ml#data-engineering#system-design

Data EngineeringAdvanced

Kafka Streams: Real-Time Stream Processing Without a Separate Cluster

Kafka Streams is a Java library for building real-time stream processing applications. Unlike Flink or Spark Streaming, it has no separate cluster — it runs as a library inside your Java application. Each instance of you…

Apr 24, 20257 min read

Deep DiveMessaging & Event-Driven Mastery

#data-engineering#java#messaging

Data EngineeringAdvanced

Change Data Capture with Debezium: Real-Time Data Synchronization Patterns

Change Data Capture (CDC) is one of those techniques that, once you understand it, you see it everywhere. The pattern: instead of your application explicitly publishing events when data changes, let the database engine i…

Feb 1, 202511 min read

Deep DiveKafka Production Playbook

#data-engineering#databases#messaging