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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Data Scientist Salary in Hyderabad 2026: How Pay Grows From Fresher to Senior
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DAX Guide: Measures, Calculated Columns and Context
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All articles
DAX Interview Questions for Power BI Developers
DAX interviews test whether you understand evaluation context, not whether you remember function names. Six classic questions are answered with real DAX measures, evaluated by the same kind of engine that powers Power BI, on a month of real online orders, where the wrong formula overstates revenue 45,000 times.
Docker and Kubernetes Interview Questions for ML
Container questions in ML interviews are about the mistakes that make images slow to build, huge, insecure or killed in production. Four are answered with real Docker builds and runs, from a cache that survives a code change to a container killed with exit code 137, then the Kubernetes questions that follow.
Excel Interview Questions for Data Analysts
Excel interviews rarely ask what a function does; they ask why a formula gave the wrong answer. Seven questions are answered with formulas calculated by Microsoft Excel itself on New York's taxi zone table: an approximate VLOOKUP that was wrong 18 times in 20, an ID stored as text, and a date that depends on settings.
GCP Interview Questions for Data Engineers
Google Cloud data engineering interviews go deepest on streaming: event time, watermarks and late data in Dataflow. This guide runs real Apache Beam pipelines on a busy hour of New York taxi pickups to show windows and what happens to a late event, then covers Pub/Sub delivery, storage classes and IAM.
Hadoop Interview Questions and Answers
Hadoop still comes up in data engineering interviews, usually as questions about how HDFS and MapReduce work underneath. Four are answered by running a real Hadoop 3.4.1 node on two million household power readings: block counts, an under-replicated file, 31 small files and a MapReduce job with its counters.
PySpark Interview Questions with Examples
PySpark interview questions test the API details that decide whether a job is correct and fast. Seven are answered on a real two-million-row electricity file that fights back: a placeholder that turns numbers into strings, dates without leading zeros that Spark 3 will not parse, and a UDF that drags rows into Python.