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 Lake vs Data Warehouse vs Lakehouse
A clear comparison of data lakes, data warehouses and lakehouses: what each stores and when structure is applied, strengths and failure modes such as the data swamp, what a lakehouse adds through table formats and governance, a side-by-side table, and practical guidance on choosing or combining them.
Google Cloud Storage: Buckets, Classes and Best Practices
Google Cloud Storage holds the raw files of almost every data platform on Google Cloud. This guide covers buckets and naming, choosing a location, the storage classes with their minimum durations and retrieval fees, lifecycle rules and how conflicts between them are resolved, soft delete, and access control.
Triggers in ADF: Schedule, Tumbling Window and Event
The four Azure Data Factory trigger types — schedule, tumbling window, storage event and custom event — compared on what they guarantee, with a decision table, trigger JSON you can adapt, and the settings that cause missed or duplicate runs.
AWS Lambda Explained: Serverless for Beginners
AWS Lambda runs your code in response to events without servers to manage. This beginner's guide explains the handler, events and triggers, what an execution environment is and why initialisation code runs once, the limits that shape what Lambda is for, how billing works, and where it fits in data pipelines.
Career Switch to Data Science: A Realistic Roadmap
Most data scientists hold a master's degree or a doctorate, and that shapes any realistic career switch. Data from O*NET and from 574 working data scientists shows the education, experience and tools the job really involves, and why moving through an analyst role first is the most reliable route for career changers.
Azure Data Factory (ADF) Interview Questions
Senior Azure Data Factory interviews rarely ask for definitions. They hand you a design problem and watch how you reason. Here are six of those exercises, each built on a documented ADF limit, with the trap the interviewer is looking for and a model answer. The numbers come from a small calculator you can rerun.