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.
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Building Credibility as a Self-Taught Professional
Many working developers have no degree, but the share varies widely by role, and the pay gap with graduates narrows sharply with experience. Survey data on over 21,000 professionals shows where self-taught people already succeed, and which kinds of proof replace a degree in the eyes of a hiring manager.
Cloud Storage to BigQuery: Building an Ingestion Layer
An ingestion layer is the agreement between whoever delivers files and whoever queries tables. This guide designs one from Cloud Storage to BigQuery: a bucket layout BigQuery can read, one partition per day, loads that can be repeated without duplicates, a guard against misplaced rows, and a per-file audit.
Building a Data Pipeline on GCP End to End
A pipeline is more than a load command. This guide builds a daily batch pipeline on Google Cloud in five stages, land, load, clean, check and publish, names the service for each, and runs the flow locally on real data to show a rerun that changes nothing and a truncated delivery that is held back, not published.
Building an ETL Pipeline with ADF Step by Step
A first ADF pipeline copies data from A to B. A production ETL pipeline must also survive reruns, updated records and broken extracts. This step-by-step guide builds the stage, validate and merge design, shows on real runs why plain appends go wrong, and gives the ADF pipeline and stored procedure.
Building a Real-Time Dashboard with GCP
A real-time dashboard is a chain, and it is as fresh as its slowest link. This guide builds one on Google Cloud, from events in Pub/Sub to a per-minute table in BigQuery and a report in Data Studio, and replays an hour of real events to show why recent numbers change after they first appear.
Building AI Agents with LangGraph: A Hands-On Tutorial
Agent tutorials stop when the demo works. Production agents fail in other ways: tools time out, loops never end, and behaviour changes silently. This hands-on guide builds a small LangGraph agent and makes it reliable, with a retry policy on its tool node, a recursion limit and deterministic tests.