DBMS Chapter 11

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HDFS is an acronym for Hadoop distributed file system.

True

HP HAVEn integrates HP technologies with open source big data technologies.

True

Hive creates MapReduce jobs and executes them on a Hadoop Cluster.

True

JSON is commonly used in conjunction with the 'document store' NoSQL database model.

True

NoSQL stands for 'Not only SQL.'

True

Server logs are considered a big data variety data type.

True

Smartphones can produce millions of observations per second making them Business Intelligence and Analytics 3.0.

True

The original three 'v's attributed to big data include volume, variety, and velocity.

True

Big data allows for two different data types (text and numeric).

False

OLAP, ROLAP, and TLAP are tools commonly used to load data into intermediate hypercube structures.

False

Predictive analytics answers the question: "How can we make it happen?"

False

Structured Query Language (SQL) is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful information.

False

Value (related to the five 'v's of big data) addresses the pursuit of a meaningful goal.

True

YARN, also called MapReduce 2.0, is like a traffic cop that controls the allocation of resources in a system.

True

MongoDB is a proprietary NoSQL database management system created by Oracle.

False

Neo4j is a wide-column NoSQL database management system developed by Oracle.

False

NoSQL focuses on avoidance of replication and minimizing storage space.

False

The dive in anywhere characteristic of a data lake is overrides constraints related to confidentiality.

False

The philosophical underpinnings of big data are based on schema on write.

False

The schema on write and schema on read are considered synonymous approaches.

False

The target market for Hadoop is small to medium companies using local area networks.

False

Transaction processing and management reporting tend to fit big data databases better than relational databases.

False

Word processing documents are commonly stored in a 'document store' NoSQL database model.

False

Apache Cassandra is a wide-column NoSQL database management system.

True

Economies of storage indicate data storage costs increase every year.

False

HDFS allows indexing which specifically allows applications real-time access to the data.

False

HDFS requires a single master server, but does not allow slave servers.

False

Decision Support Systems (DSS) was a precursor to analytics and business intelligence.

True

NameNode in an HDFS cluster represents the single master server.

True

NoSQL databases DO NOT support ACID (atomicity, consistency, isolation, and durability).

True

Using data to predict events is an example of predictive analytics.

True

Big data databases tend to sacrifice consistency for availability.

True

Collect everything is a characteristic of a data lake.

True

Hadoop is considered a relational database management system.

False

Hive is an Oracle data warehouse software.

False

Horse, an important scripting language, helps reduce the complexity of MapReduce.

False

The 'schema on read' approach often incorporates JSON or XML.

True

Data in HDFS files cannot be updated.

True

A business owner that needs carefully normalized tables would likely need a relational database instead of a NoSQL database.

True

Customers leave clues about their preferences when navigating a company's Web site.

True

DataNodes in an HDFS cluster represents the large number of slaves.

True

Descriptive analytics answers the question: "What happened yesterday?"

True

Descriptive analytics is the oldest form of analytics.

True

Graph-oriented databases are designed to maintain information regarding the relationships between data items.

True

HBASE is a wide-column store database that runs on top of HDFS (modeled after Google).

True

Human intervention is an important part of big data analytics.

True

Many developing countries are using advanced applications of analytics to utilize data collected from mobile devices.

True

MapReduce is an algorithm for massive parallel processing utilized by Hadoop.

True

The three major types of analytics are: descriptive, predictive, and prescriptive.

True


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