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
Databricks Tutorial: A Beginner's Guide
A first walk through Databricks: what the platform adds to Spark and Delta Lake, getting started with the no-cost Free Edition and its limits, notebooks and language magic commands, exploring the NYC taxi sample table, saving results as a governed Delta table in Unity Catalog, and scheduling it with Lakeflow Jobs.
Azure Databricks with ADF: Orchestration Patterns
Azure Data Factory can run Databricks notebooks, Python files, Jar files and jobs as pipeline steps. This guide covers the linked service and its cluster options, passing parameters in and reading results back, how the cluster choice changes run time and cost, and the orchestration patterns that hold up in production.
ADF vs Databricks: When to Use Each
Azure Data Factory moves and orchestrates data; Azure Databricks processes it with Spark and has grown its own orchestration. This guide separates their roles, examines the three areas where they overlap, runs one transformation as PySpark code to compare with a visual data flow, and gives a way to choose.
Databricks Interview Questions and Answers
Most Databricks interview questions are really Delta Lake questions. Six are answered by building a real Delta table from daily bike-share data: what each write adds to the transaction log, time travel, a MERGE that rejects duplicate keys, schema enforcement, compacting 32 small files into one, and VACUUM.