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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All articles
KPIs and Cards in Power BI: Designing Scorecards
Designing KPI cards and scorecards in Power BI: when to use the card visual, the KPI visual or scorecards in the Power BI service, why every headline number needs a comparison, measures for prior period, variance and status, a worked row of cards from Microsoft's Financial Sample, and layout rules for a scorecard page.
Data Engineering Tools You Must Learn in 2026
A grounded guide to data engineering tools in 2026: the jobs a data platform must do and the tool that usually does each, SQL and Python first, then orchestration, transformation, Spark, storage formats, streaming and cloud, with notes on current versions such as Spark 4, Kafka 4 and Airflow 3, and what to skip.
Streaming Data with Kinesis to S3 and Redshift
A practical guide to landing streaming data on AWS: Kinesis Data Streams into S3 with Firehose, how size-or-time buffering decides file counts, shown on a real day of 77,033 events, converting to Parquet and partitioning on the way, the two routes into Redshift, duplicates, and the compaction most streams still need.
BigQuery Federated Queries Explained
A federated query lets BigQuery ask a live operational database a question and join the answer to warehouse tables, with no pipeline in between. This guide explains EXTERNAL_QUERY, shows on a sample database how much pushdown saves and where it stops, and covers connections, pricing, regions and when to replicate.
Real-Time Feature Engineering for Online Models
Online models need features from events seconds old, and those features must match the ones the model was trained on. On a month of real New York taxi pickups, this guide builds a streaming window counter, shows a one-character boundary change breaking 3.7% of lookups, and measures what a two-minute lag costs.
Azure Data Engineering Projects for Your Portfolio
Five Azure data engineering projects for a portfolio, each on real public data and each built to demonstrate one skill an interviewer will ask about: metadata-driven ingestion, incremental loading, Spark cleaning with quality rules, a dimensional model with history, and event-driven processing with alerts.