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.
Featured Guides
Data Science Roadmap 2026: A Complete Step-by-Step Guide
A data science roadmap in dependency order, from Python and SQL through cleaning, statistics and honest model evaluation to communicating results, with an exit test at every stage and one dataset that carries through the whole path.
What Is Generative AI? A Complete Beginner's Guide
What generative AI is, in plain language: how language models produce text one token at a time (shown with a tiny runnable model), how chat models are trained, how image models differ, what the technology is reliable for, and why it confabulates.
Learn Python from Scratch: A Complete 2026 Roadmap
How to learn Python from zero: install a current version (including the new Windows install manager), then work through seven stages, from values and loops to files, virtual environments, classes and tests, each ending with a small program you should be able to write on your own.
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Azure Data Engineer Certification (DP-203) Guide
Exam DP-203 and the Azure Data Engineer Associate certification were retired on 31 March 2025. This guide explains what that means for people who hold it or were studying for it, what the exam covered, how the Fabric Data Engineer Associate exam DP-700 differs, and how to plan your preparation now.
Tumbling Window Triggers: Backfills and Dependencies
A tumbling window trigger runs a pipeline once for each fixed, contiguous slice of time, and remembers which slices it has done. This guide explains the window model, a worked backfill of 31 daily windows, concurrency, delay and retry, dependencies between triggers, and passing window boundaries to a pipeline.
Star Schema vs Snowflake Schema in Power BI
Star versus snowflake schemas for Power BI models: what a snowflake dimension is, why Microsoft generally favours a single flattened table, a real five-table product dimension flattened into one with every key kept, what flattening quietly drops, and the situations where keeping separate tables makes sense.
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.
Power BI Performance Tuning: Make Reports Faster
A method for making Power BI reports faster: measure first with Performance Analyzer and read its DAX query, visual display and other timings, then shrink the import model, reduce column cardinality on a real retail dataset, write lighter DAX, filter and simplify pages, and check capacity and gateways.
Tableau Interview Questions and Answers
Tableau interviews return to one topic more than any other: when each calculation happens. This guide answers the core questions on FIXED, INCLUDE and table calculations, with the Tableau formulas and their results reproduced on a year of real online orders: one filter, two answers, 100% or 2.57%.