ISM6404 Chapter 7

MapReduce runs without fault tolerance.

All of the following statements about MapReduce are true EXCEPT

in-memory analytics

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?

True

Big Data is being driven by the exponential growth, availability, and use of information

Objective Data

In the Twitter case study, how did influential users support their tweets?

regulatory oversight & decision making

In the financial services industry, Big Data can be used to improve

True

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

True

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

True

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

False

Big Data simplifies data governance issues, especially for global firms.

False

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

True

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

Variability

Data flows can be highly inconsistent, with periodic peaks, making data loads hard to manage. What is this feature of Big Data called?

True

The quality and objectivity of information disseminated by influential users of Twitter is higher than that disseminated by noninfluential users.

True

The term "Big Data" is relative as it depends on the size of the using organization.

True

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

False

Hadoop and MapReduce require each other to work.

True

Hadoop was designed to handle petabytes and exabytes of data distributed over multiple nodes in parallel.

It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers.

How does Hadoop work?

True

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

True

In Application Case 7.6, Analyzing Disease Patterns from an Electronic Medical Records Data Warehouse, it was found that urban individuals have a higher number of diagnosed disease conditions.

False

In most cases, Hadoop is used to replace data warehouses

determine differences in rates of disease in urban and rural populations

In the Analyzing Disease Patterns from an Electronic Medical Records Data Warehouse case study, what was the analytic goal?

False

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

True

Satellite data can be used to evaluate the activity at retail locations as a source of alternative data.

True

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

True

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

unrestricted, ungoverned sandbox explorations

Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?

Amazon and Google have working Hadoop cloud offerings.

What is Big Data's relationship to the cloud?

unstructured and semistructured non-relational data

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

grid computing

Which Big Data approach promotes efficiency, lower cost, and better performance by processing jobs in a shared, centrally managed pool of IT resources?

RFID tags

Which of the following sources is likely to produce Big Data the fastest?

10^15 bytes.

A newly popular unit of data in the Big Data era is the petabyte (PB), which is

True

Despite their potential, many current NoSQL tools lack mature management and monitoring tools