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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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PySpark Tutorial: DataFrames, Transformations and Actions
A practical PySpark DataFrame tutorial on three million real New York taxi trips: declaring schemas, filtering and deriving columns with when and otherwise, grouped aggregation that exposes a trap in tip data, a join and a window function for top zones per borough, the same logic in Spark SQL, and the actions.
dbt Tutorial: Transformations in the Modern Data Stack
A practical introduction to dbt: where it fits as the T in ELT, a complete working project, two models, a seed and seven tests, built on three million real taxi trips with DuckDB, how ref orders the build, what a warning-level test looks like, materializations, and the habits that keep dbt projects maintainable.
ADF Data Flow Transformations: A Complete Reference
A reference to the transformations available in Azure Data Factory mapping data flows, grouped by task: shaping columns, filtering and marking rows, combining streams and handling nested data. Each has its SQL equivalent and the documented detail worth knowing, with row counts from a real example.