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
Handling Late-Arriving Data in Pipelines
A practical approach to late-arriving data: event time versus arrival time, lateness measured on 2.9 million real taxi trips, where a midnight report missed 0.81% of each day and a tail lingered for hours, then the fixes: waiting, reprocessing windows, streaming watermarks and late-arriving facts.
AWS Glue Jobs: PySpark on Serverless Spark
A practical guide to AWS Glue Spark jobs: what a job is, how the script is structured, when to use a DynamicFrame and when a DataFrame, how job bookmarks avoid reprocessing, and how workers and DPUs set the bill. The transform is written as plain PySpark and run locally on 2.96 million rows, then wrapped for Glue.
Marketing Analytics: Metrics and Dashboards That Matter
The marketing analytics metrics that matter, defined precisely: click-through rate, conversion rate, cost per acquisition, return on ad spend and engagement rate, then applied to 12,330 real shop sessions to compare traffic sources by what they deliver, plus a dashboard layout and attribution traps.
AWS Interview Questions for Data Engineers, Part 2: The boto3 Coding Round
Many AWS data engineering interviews include a short coding round with boto3. The tasks look simple, but each hides a trap: pagination, retries, duplicates, request limits and key ordering. Here are five such tasks, run against a local AWS emulator, with the trap and the answer that shows experience.
Azure Fundamentals (AZ-900): A Quick-Start Guide
AZ-900 is Microsoft's entry-level Azure exam: 45 minutes on cloud concepts, core Azure services, and management and governance. This guide gives the current outline with its weights, explains the ideas behind each area in plain terms, covers format, scoring and retakes, and sets out a three-week study plan.
Creating Calculated Columns vs Measures in Power BI
The simplest test for calculated columns versus measures in Power BI is whether the value should change when someone filters the report. Columns are worked out once at refresh; measures respond to every filter. A worked example on bike-sharing data shows what happens to running totals and ranks when you choose wrongly.