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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Azure Interview Questions for Data Engineers
Azure data engineering interviews dig into storage: which tier to use, how folders really work, and how to grant access safely. This guide prices the tiers with Azure's live rates for Central India and runs the real Azure Storage SDK against Microsoft's Azurite emulator to show prefixes, overwrite protection and SAS.
Excel Interview Questions for Data Analysts
Excel interviews rarely ask what a function does; they ask why a formula gave the wrong answer. Seven questions are answered with formulas calculated by Microsoft Excel itself on New York's taxi zone table: an approximate VLOOKUP that was wrong 18 times in 20, an ID stored as text, and a date that depends on settings.
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.
AWS Data Engineer Guide: Skills and Services
Lists of AWS data engineer skills are usually lists of AWS services. Survey data on data engineers who work on AWS tells a different story: infrastructure as code, containers and non-AWS databases are as much a part of the job as Glue or Redshift. Here is that evidence, and a map of services by task.
Data Analyst Interview Questions and Answers, Part 2: The Metric Investigation Case
One interview round trips up more analysts than SQL: the metric investigation case. 'Cancellations went up six points. Why?' This guide works one real case end to end on public hotel booking data, showing the five steps interviewers look for, from checking the data to splitting mix from rate and finding the driver.
Data Engineering Interview Questions and Answers, Part 2: The Debugging Round
Some data engineering interviews skip theory and hand you a broken query: the numbers are wrong, find out why. This guide reproduces five classic pipeline bugs on real public data, shows the symptom each produces, how to diagnose it quickly and the fix an interviewer expects.