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Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Kafka Interview Questions Explained
Kafka interviews test whether you can predict what happens to a message: which partition it lands in, in what order it is read, and whether it can be processed twice. Five questions are answered on a real Kafka 4 broker fed with an hour of real New York taxi pickups, including a crash that reprocesses 50 messages.
Apache Kafka Explained: Streaming Data Basics
Apache Kafka explained from the ground up: events, topics and partitions, why keys decide ordering, how consumer groups track offsets and why data is not deleted when read, each shown by producing 1,000 real taxi events to a running broker and reading them back, plus replication and delivery guarantees.
Building a Streaming Pipeline with Kafka and Spark
A streaming pipeline built and run end to end: 77,033 real taxi events on a Kafka topic, read by Spark Structured Streaming, parsed from JSON, aggregated into hourly event-time windows with a watermark and written to a sink, with the real output showing why the final window is not emitted, plus what production adds.
Kafka vs RabbitMQ vs Pulsar: A Comparison
Kafka, RabbitMQ and Pulsar compared for data and application teams: the queue model against the log model, shown by sending the same 1,000 events through live RabbitMQ and Kafka brokers, where a second reader got nothing from the queue and everything from the log, then routing, ordering, retention and Pulsar's design.
Amazon MSK: Managed Kafka on AWS
Amazon MSK runs open-source Apache Kafka for you on AWS. This guide explains what the service manages and what remains your job, Provisioned clusters with Standard or Express brokers versus Serverless, MSK Connect and Replicator, authentication choices, tiered storage, and how to choose between MSK and Kinesis.