TEST YOUR BIG DATA TERMINOLOGY!

Uses infographic, traditional plots, or even full data dashboards to make numbers meaningful and allows trends and patterns to be more easily seen.

Singapore Digital Transformation Image Corporate Big Data Invicta

Data Visualization

Data Extraction

Data Modeling

Data Mapping

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Ask basic questions to understand the context of a data set, uncover initial patterns and characteristics.

Data Visualization

Data Exploration

Data Extraction

Data Mining

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Used interchangeably with Data Munging, this process has clear steps: Discovery, Structuring, Cleaning, Enriching, Validating and Publishing.

Data Cleansing

Data Wrangling

Deep Learning

Data Validation

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Requires a high level of domain or business knowledge. Involves a high level of exploratory and descriptive analysis.

Data Science

Data Analytics

Deep Learning

Artificial Intelligence

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Contains standardized, ready-to-analyze data. It has subsets called Data Mart which contains smaller sets of data.

Data Cloud

Data Lake

Data Warehouse

Data River

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This helps businesses detect and predict how their customers behave. Its objective is to generate new market opportunities. It is used to understand the present and predict the future.

Data Mining

Data Examination

Data Structure

Data Profiling

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Sets the blueprint for managing data assets. These blueprints govern which data is collected, how it is stored, arranged, and integrated.

Data Construction

Data Policing

Data Governance

Data Architecture

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Does not require a high level of domain or business knowledge. Involves a high level of machine or deep learning.

Data Science

Machine Learning

Deep Learning

Artificial intelligence

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It contains raw data as all new data enters without any barrier, but it is unstructured. It allows new ideas to be discovered easily.

Data Pool

Data Cloud

Data Lake

Data Sets

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The process taken before analysis to make data consistent. This is the process where data is revised to remove typo and duplicate entries.

Data Cleaning

Data Arrangement

Data Structuring

Data Repair

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Test Your Big Data Terminology!

Oops! Let's Learn!

You are probably really new to this but no worries! Everyone's gotta start somewhere, right? This is a gigantic field of knowledge. You understand it, apply it and reap endless benefits from it. Take your time to learn something new everyday! Let's start by getting your terminology right... “Data really powers everything that we do.” – By Jeff Weiner, CEO of LinkedIn

Well Done!

Here's a round of applause for you! Not bad at all. Well this is just a quick quiz on basic terminology. This is a gigantic field of knowledge. You understand it, apply it and reap endless benefits from it. Let's keep learning together! “Data really powers everything that we do.” – By Jeff Weiner, CEO of LinkedIn

You're Awesome!

If you got any of the questions wrong, you do not get to see your crown because it is only for the best! Now, don't get too excited! This is just a quick quiz on basic terminology. This is a gigantic field of knowledge. You understand it, apply it and reap endless benefits from it. Let's keep learning together! “Data really powers everything that we do.” – By Jeff Weiner, CEO of LinkedIn