What is Big Data
Very large, fast, or diverse data sets that require special storage and processing approaches.
Definition
Big Data is very large, fast, or diverse sets of data that require special approaches to storage and processing. Simply put, this concept helps you work with data as the basis for analytics, recommendations, and models. In practice, it helps to understand what capabilities the tool actually has, what data it will need, and what limitations are worth checking before implementation.
Example
The marketplace analyzes millions of orders, clicks and reviews to train recommendations and predict demand.
Why it matters
Without competent work with big data, many AI projects are limited by speed, cost and quality of information. This helps you choose AI tools not by big promises, but by how they work in a real problem.
How it works
Data is collected, cleaned, described, transformed and analyzed to produce a robust conclusion or prepare a model. In the case of the term “Big Data”, it is important to look separately at the data, quality criteria and application conditions.
Where it is used
- Used in analytics, data preparation, pattern finding, reporting, forecasting and model building.
Limitations
Even careful analysis can be flawed if the data is biased, outdated, poorly cleaned, or misinterpreted.