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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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.
GCP Certification Path: Which One to Pick First
Google Cloud has foundational, associate and professional certifications, and none requires another. This guide compares the eight exams that data people usually consider, with fees and formats from Google's pages, and suggests a first exam for five different starting points.
GCP Interview Questions for Data Engineers
Google Cloud data engineering interviews go deepest on streaming: event time, watermarks and late data in Dataflow. This guide runs real Apache Beam pipelines on a busy hour of New York taxi pickups to show windows and what happens to a late event, then covers Pub/Sub delivery, storage classes and IAM.
GCP Interview Questions for Data Engineers, Part 2: The Apache Beam Coding Round
Dataflow roles often include a short Apache Beam coding exercise. The tasks are small, but they show whether you think in PCollections and combiners or in loops. Here are five typical tasks, solved and run locally on real data, with what each one tests and the follow-up questions interviewers ask.
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.
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.