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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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BigQuery Explained: Google's Serverless Data Warehouse
What “serverless” means in BigQuery, why its bill depends on the bytes a query reads, and the three habits that keep that number small: select only needed columns, partition and cluster tables, and check a query’s cost before running it.
AWS Lambda Explained: Serverless for Beginners
AWS Lambda runs your code in response to events without servers to manage. This beginner's guide explains the handler, events and triggers, what an execution environment is and why initialisation code runs once, the limits that shape what Lambda is for, how billing works, and where it fits in data pipelines.
AWS Glue Tutorial: Serverless ETL on AWS
A beginner's tutorial on AWS Glue, the serverless ETL service: what each component does, the catalog, crawlers, jobs, triggers and workflows, how they fit into one pipeline, a crawler, job and nightly schedule defined in code with boto3, how billing works, and the settings to get right on day one.
Cloud Functions on GCP: Serverless Explained
A function is a few lines of code that run when something happens, with no server to manage. Google Cloud's version, Cloud Functions, is now called Cloud Run functions. This guide explains the two kinds of function, runs a storage-triggered one locally with Google's framework, and covers triggers, retries and limits.
AWS Step Functions: Orchestrating Serverless Workflows
AWS Step Functions coordinates other services into a workflow with retries, branching and a visible history. This guide explains state machines and state types, the three integration patterns, error handling, Standard versus Express workflows, billing, and a nightly data pipeline written in Amazon States Language.
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.