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.
All articles
Dataform vs dbt on GCP: A Comparison
Dataform and dbt solve the same problem: turning raw warehouse tables into tested, documented ones with SQL under version control. This comparison writes the same two models and tests in each, builds the dbt version on DuckDB, compiles the Dataform version locally, then sets out the differences that matter.
GCP Professional Data Engineer Certification Guide
The Professional Data Engineer exam tests design judgement more than commands. This guide sets out the facts from Google's exam page, the five sections and their weights, a table matching the product names in the exam guide to the names in today's documentation, and a way to prepare by building.
Loading Data into BigQuery: Batch and Streaming
BigQuery can be loaded in batches from files or fed continuously through the Storage Write API. This guide compares the methods by latency, cost, limits and what a retry does, with documented commands, a model of at-least-once against exactly-once delivery, and a rule for choosing.
Materialized Views in BigQuery Explained
A materialized view stores the result of a query and keeps it current as the base table changes. This guide shows how BigQuery combines stored results with new rows, models it on 2.9 million real trips, and covers refresh settings, max_staleness, smart tuning, unsupported SQL and when a scheduled table is better.
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.