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.
All articles
Amazon Redshift Explained: The Cloud Data Warehouse
An introduction to Amazon Redshift, AWS's data warehouse: how a leader node, compute nodes and slices run a query in parallel, why data is stored in columns, how managed storage separates compute from storage, Serverless versus a provisioned cluster, how it differs from PostgreSQL, and what to learn first.
BigQuery vs Snowflake vs Redshift: A Comparison
BigQuery, Snowflake and Amazon Redshift all separate storage from compute and all speak SQL. They differ in what you manage, what you are billed for and which levers you tune. This comparison is drawn from each vendor's documentation, with a model of how idle time drives the bill on time-based compute.
Athena vs Redshift: When to Use Each
Athena and Redshift both run SQL on AWS, but one is a query service over files in S3 and the other is a data warehouse. This comparison covers where the data lives, how each is billed, behaviour under many users, updates and modelling, AWS's own guidance, and the common design that uses both.
Loading Data into Redshift: COPY and Best Practices
A practical guide to loading Amazon Redshift with the COPY command: why it beats INSERT, how file layout decides whether the load runs in parallel, a worked split of a real 2.96-million-row file into eight even parts with a manifest, loading Parquet, merging updates through a staging table, and verifying the load.
Redshift vs Snowflake vs BigQuery: A Comparison
Redshift, Snowflake and BigQuery bill for different things: running time, data scanned, capacity-hours. Pricing pages make them hard to compare. This guide prices one realistic workload in each warehouse's own unit, from documented billing rules, and shows the single setting that dominates each bill.
Redshift Performance Tuning: Distribution and Sort Keys
Redshift performance tuning starts with two table properties: how rows are distributed across slices and how they are sorted on disk. This guide explains the four distribution styles and the sort key options, simulates block skipping and slice skew on 2.96 million real rows, and shows when AUTO is the right answer.