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
Building a Real-Time Dashboard with GCP
A real-time dashboard is a chain, and it is as fresh as its slowest link. This guide builds one on Google Cloud, from events in Pub/Sub to a per-minute table in BigQuery and a report in Data Studio, and replays an hour of real events to show why recent numbers change after they first appear.
Amazon Kinesis Explained: Real-Time Streaming
Amazon Kinesis is AWS's family of streaming services. This guide explains Kinesis Data Streams, shards, partition keys, sequence numbers and retention, shows on 2,000 real taxi events how the choice of partition key spreads or skews load across shards, and covers capacity modes, consumer types and where Firehose fits.
Batch vs Real-Time Model Inference: Tradeoffs
Nightly batch scoring is cheap and simple; predicting on request is fresh but costlier. This guide measures both on six months of hourly bike rentals, where nightly scoring with midnight's weather had 42% more error than using the current hour's, and sets out when each pattern fits.
Real-Time Analytics: Architecture and Tools
How real-time analytics systems are built: the four layers of ingestion, stream processing, serving and consumption, the tools at each layer including Kafka, Spark, Flink and real-time OLAP databases such as Druid, Pinot and ClickHouse, latency budgets, common architectures, and the pitfalls that raise costs.
Real-Time Feature Engineering for Online Models
Online models need features from events seconds old, and those features must match the ones the model was trained on. On a month of real New York taxi pickups, this guide builds a streaming window counter, shows a one-character boundary change breaking 3.7% of lookups, and measures what a two-minute lag costs.
Python for Automation: A Real-World Project Guide
Most automation scripts work once at a desk and fail quietly a month later. This guide builds one real project, a weekly Excel report from public bike-sharing data, with the parts that let it run unattended: input checks that stop bad data, an output that is never overwritten, a log, and a way to schedule it.