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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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 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.
How to Start a Career in Google Cloud in 2026
Google Cloud is the third of the big clouds by use, and most of its users work with another cloud too. But in some areas it is unusually strong: data, AI, mobile apps, and India. This guide uses survey data to show where those openings are, then sets out a 2026 start that spends nothing until you are ready.
Looker and Looker Studio on GCP Explained
Google has two BI tools with similar names and different jobs. Data Studio, the new name for Looker Studio, builds self-service reports at no cost. Looker adds a central model that defines each metric once. This guide compares them and uses a real database to show the mistake a shared model prevents.
Migrating to BigQuery: A Practical Playbook
Moving a warehouse to BigQuery is less a copy job than a proof: that the SQL still means the same thing and the numbers still match. This playbook follows Google's iterative method, then reproduces two steps locally: a translator that gets one statement wrong, and a copy that passes row counts while 23 rows differ.
Scheduling Queries in BigQuery
A scheduled query is SQL that BigQuery runs for you on a timetable. This guide covers the run parameters, destination table templates checked against Google's own examples, backfills, credentials and notifications, and shows on real data why an appending statement doubles on a rerun while a MERGE does not.