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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Data Engineering Roadmap 2026: A Complete Guide
A stage-by-stage data engineering roadmap for 2026: what the role involves according to current certification guides, then seven stages, SQL, Python, pipelines and modelling, orchestration and quality, Spark and big data, streaming, and cloud platforms, each with a checkpoint, and detours to avoid.
Feature Engineering: A Practical Guide with Examples
Feature engineering, measured step by step on 17,379 hours of real bike-rental data: how encoding the hour, adding an hour-by-working-day interaction and two domain features cut a linear model's error from 131 to 73 rentals, why the same features hurt a tree model, and the leakage rules every new feature must pass.
Data Engineering Projects for Your Portfolio
Five data engineering projects for a portfolio, each on a real public dataset: a tested batch pipeline and warehouse on NYC taxi data, an orchestrated ingestion of live earthquake feeds, change capture with history on a sample store database, a streaming pipeline on Wikipedia edits, and a Spark job on GitHub events.
Data Engineering vs Data Science: Roles Compared
Data engineering and data science compared through the work each role does: what they are responsible for according to published role definitions, a typical week in each, the skills and tools that differ and overlap, how the two depend on each other on one project, hybrid roles in between, and how to choose.
Feature Engineering Interview Questions
Feature engineering questions test judgement about what a model may know and how it sees the data. Six questions are answered with measurements on 41,188 real bank calls: a leaky feature worth 0.15 AUC, when scaling matters, target encoding done wrong, informative unknowns, U-shaped effects and misleading importances.
Prompt Engineering: Techniques That Actually Improve Output
Most prompt advice is a list of tips. This guide takes one job, pulling three fields out of customer emails, and rewrites the prompt seven times, scoring each version on the same twelve emails. An example and a schema fixed the format; definitions and asking for evidence before the verdict fixed the meaning.