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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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Metadata-Driven Pipelines in Azure Data Factory
A metadata-driven pipeline reads a list of what to copy from a control table and applies one generic Copy activity to every row. This guide explains the building blocks in Azure Data Factory, shows the pattern working on real tables, and walks through the pipelines and control tables the Copy Data tool generates.
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.
Securing Azure Data Factory: Managed Identities
A managed identity lets Azure Data Factory reach storage, databases and Key Vault with no password stored anywhere. This guide explains the two kinds of identity, the exact permissions to grant for common sources and sinks, the linked service definitions, and the documented warning about who can use the identity.
How to Become an Azure Data Engineer in 2026
Most guides to becoming an Azure data engineer list every Azure service. Survey data shows a narrower picture: the data engineers who work on Azure lean heavily on SQL Server, Databricks and PowerShell, alongside the Python and SQL every data engineer needs. Here is that evidence, and a path built on it.
Azure Data Engineer Salary in Hyderabad 2026: Why the Employer Matters Most
Azure skills are in demand in Hyderabad, but do they raise pay? Real 2025 survey data for India gives a surprising answer: Azure users are paid like their same-experience peers, while the size of the employer makes a large difference. This guide shows both and explains what it means for an Azure data engineer.
Event-Based Triggers with Azure Event Grid and ADF
Event-based triggers start an Azure Data Factory pipeline when something happens, not when a clock says so. This guide explains storage event and custom event triggers, the role of Azure Event Grid, path filters and their limits, passing the file name to the pipeline, and designing for duplicates and partial files.