dsci5530

While cloud services are useful for small and midsize analytic applications, they are still limited in their ability to handle Big Data applications.

F

This model allows consumers to use applications and software that run on distant computers in the cloud infrastructure.

SAAS

What new geometric data type in Teradata's data warehouse captures geospatial features?

ST_GEOMETRY

Current total storage capacity lags behind the digital information being generated in the world.

T

Data as a service began with the notion that data quality could happen in a centralized place, cleansing and enriching data and offering it to different systems, applications, or users, irrespective of where they were in the organization, computers, or on the network.

T

From massive amounts of high-dimensional location data, algorithms that reduce the dimensionality of the data can be used to uncover trends, meaning, and relationships to eventually produce human-understandable representations.

T

If you have many flexible programming languages running in parallel, Hadoop is preferable to a data warehouse.

T

In the opening vignette, the Access Telecom (AT), built a system to better visualize customers who were unhappy before they canceled their service.

T

MapReduce can be easily understood by skilled programmers due to its procedural nature.

T

One reason the IoT is growing exponentially is because hardware is smaller and more affordable.

T

The term cloud computing originates from a reference to the Internet as a "cloud" and represents an evolution of all of the previously shared/centralized computing trends.

T

There is a clear difference between the type of information support provided by influential users versus the others on Twitter.

T

Social media mentions can be used to chart and predict flu outbreaks.

TRUE

Which of the following is true of data-as-a-Service (DaaS) platforms?

There are standardized processes for accessing data wherever it is located.

For low latency, interactive reports, a data warehouse is preferable to Hadoop.

True

It is important for Big Data and self-service business intelligence to go hand in hand to get maximum value from analytics.

True

Using data to understand customers/clients and business operations to sustain and foster growth and profitability is

an increasingly challenging task for today's enterprises.

The portion of the IoT technology infrastructure that focuses on controlling what and how information is captured is

applications

In the financial services industry, Big Data can be used to improve - regulatory oversight. - decision making. - customer service. - both regulatory oversight and decision making

both regulatory oversight and decision making

The portion of the IoT technology infrastructure that focuses on how to transmit data is

connectivity

Today, most smartphones are equipped with various instruments to measure jerk, orientation, and sense motion. One of these instruments is an accelerometer, and the other is a(n)

gyroscope

Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near-real time with highly accurate insights. What is this process called?

in-memory analytics

The portion of the IoT technology infrastructure that focuses on how to manage incoming data and analyze it is

software backend.

Companies with the largest revenues from Big Data tend to be

the largest computer and IT services firms.

Traditional data warehouses have not been able to keep up with

the variety and complexity of data.

What is the Hadoop Distributed File System (HDFS) designed to handle?

unstructured and semistructured non-relational data

Big Data uses commodity hardware, which is expensive, specialized hardware that is custom built for a client or application.

F

Connectivity is not a part of the IoT infrastructure.

F

For cloud computing to be successful, users must have knowledge and experience in the control of the technology infrastructures.

F

In the Great Clips case study, the company uses geospatial data to analyze, among other things, the types of haircuts most popular in different geographic locations.

F

In the Salesforce case study, streaming data is used to identify services that customers use most.

F

SaaS combines aspects of cloud computing with Big Data analytics and empowers data scientists and analysts by allowing them to access centrally managed information data sets.

F

Users definitely own their biometric data.

F

Web-based e-mail such as Google's Gmail are not examples of cloud computing.

F