Lecture 4 part 2

Which of the following is not one of the benefits of a blockchain database?

• It enables the ability to use relational databases

• It prevents data from being altered retroactively

• It allows administrators to manage data more effectively

• It enables firms to create and verify translations on a network very rapidly

• It provides users with an integrated view of the data

The term big data refers to all of the following except

• datasets with fewer than a billion records

• datasets with unstructured data

• machine-generated data (i.e. from sensors).

• data created by social media (i.e. tweets, Facebook Likes).

• data from Web traffic.

Which of the following technologies would you use to analyze the social media data collected by a major online retailer?

• OLAP

• Data warehouse

• Data mart

• Hadoop

• DBMS

Which of the following is not one of the techniques used in web mining?

• Content mining

• Structure mining

• Server mining

• Usage mining

• Data mining

A data lake is composed of:

• historical data from legacy systems

• unstructured and structured data that has not been analyzed

• internal and external data sources

• historic and current internal data

• historic external data

All of the following are technologies used to analyze and manage big data except

• cloud computing

• noSQL

• in-memory computing

• analytic platforms

• Hadoop

A distributed database:

• uses predictive analysis

• uses SQL

• is a database that is stored in multiple physical locations

• is a database that is distributed across many business firms

• uses Hadoop to process information

OLAP enables

• users to obtain online answers to ad-hoc questions in a rapid amount of time

• users to view both logical and physical views of data

• programmers to quickly diagram data relationships

• programmers to normalize data

• users to quickly generate summary reports

Data mining allows users to:

• quickly compare transaction data gathered over many years

• find hidden relationships in data

• obtain online answers to ad-hoc questions in a rapid amount of time

• summarize massive amounts of data into much smaller, traditional reports

• access the vast amounts of data in a data warehouse

In the context of data relationships, the term associations refers to

• events linked over time

• patterns that describe a group to which an item belongs

• occurrences linked to a single event

• undiscovered groupings

• relationships between different customers