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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Synthetic Data Generation with LLMs: A Practical Guide
Language models can produce training examples on demand, which is tempting when real data is scarce. This guide generates customer messages for five banking intents with a local model, compares them with real ones, and trains the same classifier on synthetic, real and mixed data, tested on 200 real messages.
How to Get Your First Data Job with No Experience
Newcomers are a minority in data roles, but they do get hired, and the data shows where: smaller companies, internships that convert, and roles where learning on the job is expected. Answers from 282 data professionals in their first two years show the doors that open most often.
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.
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.
How to Plan a 5-Year Career in Data
Five-year career plans fail when they predict job titles; they work when they set direction and review it often. Employer forecasts put big data roles among the fastest-growing jobs, and survey data shows what data professionals want to learn next. This guide uses both to build a five-year plan with yearly milestones.
Azure Data Factory Interview Questions and Answers
Azure Data Factory interview questions grouped the way interviewers ask them: fundamentals, the Copy activity, control flow, triggers, incremental loading, error handling, data flows, security and deployment, then scenarios. Each answer gives the documented fact, the reasoning, and the follow-up to expect.