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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The Modern Data Analytics Stack Explained
The modern data analytics stack explained one layer at a time: sources, ingestion and ELT, cloud warehouses and lakehouses, transformation with dbt and its data tests, the semantic layer, BI, orchestration and governance, then one revenue number followed through every layer, and what a small team actually needs.
Building a Serverless Analytics Stack on AWS
A serverless analytics stack on AWS has no cluster to run: S3 for storage, Glue for the catalog and transformation, Athena for SQL, Lambda and Step Functions for triggers and orchestration, and a BI tool on top. This guide builds it layer by layer, lists what each service bills for, and says where it stops fitting.