IT Career Guides & Free Resources
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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Dataflow Tutorial: Stream and Batch Processing on GCP
Dataflow runs Apache Beam pipelines as a managed service, with one programming model for batch and streaming. This tutorial explains the model, runs a real pipeline locally on 77,033 taxi trips with a batch branch and a windowed branch, and covers windows, watermarks, late data, templates and how to run on Dataflow.
Batch vs Streaming Data Processing: A Clear Comparison
Batch and streaming data processing compared honestly: what each is, a measurement on a real day of 77,033 taxi trips showing what a nightly, hourly, five-minute and per-event pipeline would each know at 12:30, where micro-batching fits, what streaming costs in complexity, and how to choose.
Batch vs Real-Time Model Inference: Tradeoffs
Nightly batch scoring is cheap and simple; predicting on request is fresh but costlier. This guide measures both on six months of hourly bike rentals, where nightly scoring with midnight's weather had 42% more error than using the current hour's, and sets out when each pattern fits.