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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Amazon Athena: Querying S3 with SQL
An explanation of Amazon Athena for people new to it: what the service is, how a table is only metadata pointing at files in S3, what happens when a query runs, where results go, how billing by bytes scanned works, how workgroups cap spending, and where Athena fits beside Redshift and EMR.
AWS Cost Optimization for Data Workloads
A practical guide to AWS cost optimisation for data platforms: what each service bills for, the levers that move the bill for S3, Athena, Glue, EMR, Redshift and streaming, a measured example where storage layout cuts the data a query reads from 306.5 MB to 92 KB, and the budgets, tags and limits that stop surprises.
AWS Solutions Architect Associate: A Study Guide
A study guide for the AWS Certified Solutions Architect - Associate exam, SAA-C03, built from the official exam guide: format and passing score, the four design domains and their tasks, how scenario questions are constructed, a method for studying by trade-off, and how the exam relates to data engineering.
GCP vs AWS vs Azure for Data Engineering
The three large clouds solve the data engineering problem with the same building blocks under different names. This comparison maps the services layer by layer using the vendors' own tables, shows where those tables disagree, writes one file load for BigQuery, Redshift and Synapse, and gives plain rules for choosing.
AWS Glue Data Catalog and Crawlers Explained
The Glue Data Catalog is the index of an AWS data lake, and crawlers are the usual way to fill it. This guide explains what the catalog stores, how a crawler classifies files and decides between tables and partitions, what three real files with drifting schemas show, and the settings that keep crawlers predictable.
Amazon EMR Explained: Big Data on AWS
Amazon EMR runs Spark, Hadoop, Hive and other big data frameworks on AWS. This guide explains primary, core and task nodes, why data belongs in S3 and not in the cluster's HDFS, how work is submitted as steps, transient versus long-running clusters, the Serverless and EKS options, and what decides the bill.