Introduction to Data Analytics

Big data is best defined as datasets that:

Which sequence orders the concepts correctly?

Which source of big data is typically HIGHLY STRUCTURED?

Which 'V' refers to the SPEED at which data arrives?

Which 'V' refers to the QUALITY and trustworthiness of data?

In a dataset, the number of attributes is called the:

A categorical attribute that has an order but no measurable distance (e.g., good/fair/bad) is:

In document data, each document is represented as a:

Grouping similar objects without predefined labels is which task?

Good clustering minimizes ___ distances and maximizes ___ distances:

The definition of big data varies by sector and industry.

Information is simply raw, unorganized data.

Machine-generated data (sensors, IoT) is generally unstructured.

The classic '3 V's' are Volume, Velocity, and Variety.

Variety refers to the different formats and models of data.

An attribute is also known as a record or instance.

Nominal attributes have no inherent order.

Transaction data represents each record as a set of items.

Classification is an unsupervised task with no labels.

Cost reduction was one of the top three areas of value from big data analytics.

Match each concept.

Match each 'V' with its meaning.

Match each data source with its structure.

Match each attribute type.

Match each analytics task.