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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Remote Data Jobs: How to Find and Land Them
Fully remote work is less common in data roles than many job seekers assume, and much less common early in a career. Survey answers from over 32,000 working developers and data professionals show who gets remote jobs, by role, country and experience, and what that means for finding and landing one.
Apache Iceberg vs Delta Lake vs Hudi
A comparison of the three open table formats: the problems they all solve on a data lake, Iceberg's hidden partitioning and partition evolution, Delta Lake's transaction log and Spark roots, Hudi's copy-on-write and merge-on-read tables and incremental queries, interoperability through UniForm, and a choice guide.
Pub/Sub to Dataflow to BigQuery: A Streaming Pattern
Pub/Sub receives events, Dataflow processes them and BigQuery stores them: the standard streaming pattern on Google Cloud. This guide says when you need all three, then runs the pipeline's logic locally on a test stream: a bad message routed aside, a duplicate removed, and a late event dropped or added.
GCP Logging and Monitoring with Cloud Operations
Google Cloud collects logs and metrics for you. The work is deciding what to keep, what to measure and when to alert. This guide explains log buckets, sinks, audit logs, log-based metrics and alerting policies, and uses a day of pipeline runs to show why an alert on errors misses silent failures.
Freelancing Guide for Data Professionals
About one in eight working data and software professionals freelances, and they tend to be far more experienced than employees. Survey data shows who freelances by role and country; this guide then covers finding clients, pricing, contracts and Indian tax basics for independent data work.
Cloud Data Warehouses Compared: Snowflake vs BigQuery vs Redshift
Comparisons of Snowflake, BigQuery and Redshift usually focus on architecture and pricing. For the people writing queries, the dialects matter just as much. The same six queries are translated between the three here with sqlglot, revealing function differences and one silent trap: where NULLs sort by default.