Big Data
Everything on SkillVeris tagged Big Data — collected across the glossary, study notes, blog, and cheat sheets.
18 resources across 2 libraries
Blog Articles(9)
Data Analytics Roadmap for Beginners in 2026
Step-by-step roadmap to become a data analyst from scratch — no prior experience needed.
Data Science vs Data Analytics vs Data Engineering
A comprehensive guide to data science vs data analytics vs data engineering — written for learners at every level.
How to Become a Data Analyst From Scratch
A comprehensive guide to how to become a data analyst from scratch — written for learners at every level.
Top 10 Data Science Projects for Your Portfolio
A comprehensive guide to top 10 data science projects for your portfolio — written for learners at every level.
Pandas for Beginners: A Complete Tutorial
A comprehensive guide to pandas for beginners: a complete tutorial — written for learners at every level.
SQL Tutorial for Beginners with Examples
Master SQL with simple examples and real-world queries. Perfect for aspiring data analysts.
NumPy for Data Science: Arrays and Vectorisation
NumPy is the foundation of Python's scientific computing stack. This guide covers ndarrays, vectorised operations, broadcasting, linear algebra, and why NumPy…
Matplotlib and Seaborn: Data Visualisation in Python
The best data insight is worthless if no one understands the chart. This guide covers matplotlib's core API, Seaborn's statistical plots, best practices for cl…
Scikit-Learn for Beginners: Machine Learning in Python
Scikit-learn is the most widely used Python library for classical machine learning. This guide covers the fit-predict workflow, train/test splits, classificati…
Interview Questions(9)
Data Lake vs Data Warehouse: What is the Difference?
A data warehouse stores structured, schema-validated data organized for fast, well-defined analytical queries, while a data lake stores raw data of any format…
What is Reservoir Sampling?
Reservoir sampling is a randomized algorithm that selects a uniformly random sample of k items from a stream of unknown or unbounded length, using only O(k) me…
What is a Count-Min Sketch and When Would You Use One?
A count-min sketch is a probabilistic data structure that estimates the frequency of items in a massive stream using a fixed-size 2D array of counters and seve…
What is a Count-Min Sketch and How Does It Estimate Frequencies?
A Count-Min Sketch is a probabilistic data structure that estimates how many times each item has appeared in a stream using a small, fixed amount of memory, at…
What is HyperLogLog and How Does It Count Distinct Elements?
HyperLogLog is a probabilistic algorithm that estimates the number of distinct elements (cardinality) in a massive dataset using only a few kilobytes of memory…
What is Lambda Architecture in System Design?
Lambda architecture is a data-processing pattern that runs a slow, accurate batch layer over the complete historical dataset alongside a fast speed layer over…
What is Kappa Architecture and How Does It Differ from Lambda?
Kappa architecture simplifies Lambda architecture by processing all data — historical and real-time — through a single stream-processing pipeline, treating the…
Data Lake vs Data Warehouse: What Is the Difference?
A data lake stores raw data of any format — structured, semi-structured, or unstructured — cheaply at scale and applies schema only when the data is read, whil…
How Would You Design an ETL Pipeline?
An ETL pipeline extracts data from source systems, transforms it into a clean, validated, and correctly shaped form, and loads it into a target store like a wa…