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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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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.
Cloud SQL vs Spanner vs Bigtable: When to Use Each
Cloud SQL is a managed MySQL, PostgreSQL or SQL Server. Spanner is a relational database that scales across regions with strong consistency. Bigtable is a wide-column store for huge volumes read by key. This guide compares them, models on real data why a Bigtable row key decides everything, and gives a way to choose.
Snowflake Explained: The Cloud Data Warehouse
Snowflake explained for data engineers: the three layers of storage, compute and cloud services, why separate virtual warehouses isolate workloads, how credits and per-second billing work with a worked example, micro-partitions and pruning, Time Travel and cloning, and habits that keep performance up and costs down.
GCP Associate Cloud Engineer Certification Guide
The Associate Cloud Engineer exam checks whether you can set up, run and secure things on Google Cloud. This guide gives the facts from Google's exam page and exam guide, including the four sections and their weights, says what the certificate does and does not show, and sets out a hands-on study plan.
Deploying a Gen AI App on the Cloud: A Walkthrough
A notebook that calls a model is not an application. This walkthrough turns one into a small web service with input limits, configuration from the environment, friendly failure handling and fast tests, then packages it in a container and deploys it to Google Cloud Run with the model key held as a secret.
Cloud Run vs Cloud Functions vs App Engine
Google Cloud has three ways to run code without managing servers, and they have converged: functions are now deployed on Cloud Run, and Google recommends Cloud Run over App Engine for new work. This guide explains what each is today, where Cloud Run jobs fit for data work, what scaling to zero saves and how to choose.