DRM chap 11
prescriptive
Descriptive, predictive, and ________ are the three main types of analytics. Question options: A) comparative B) decisive C) adaptive D) prescriptive
analysis and interpretation of data.
At a basic level, analytics refers to: Question options: A) collecting data. B) conducting a needs analysis. C) analysis and interpretation of data. D) normalizing data.
large volumes of data with many different data types that are processed at very high speeds.
Big Data includes: Question options: A) large volumes of data with many different data types that are processed at very high speeds. B) large volumes of entity relationship diagrams (ERD) with many different data types that are processed at very high speeds. C) large volumes of data entry with a single data type processed at very high speeds. D) large volumes of entity relationship diagrams (ERD) with a single data type processed at very high speeds.
MapReduce
The Hadoop framework consists of the ________ algorithm to solve large scale problems. Question options: A) MapComponent B) MapSystem C) MapReduce D) MapCluster
graph-oriented database.
The NoSQL model that is specifically designed to maintain information regarding the relationships (often real-world instances of entities) between data items is called a: Question options: A) document store. B) wide-column store. C) graph-oriented database. D) key-value score.
data to computation.
With HDFS it is less expensive to move the execution of computation to data than to move the: Question options: A) data to hardware. B) data to computation. C) data to processes. D) data to systems analysis.
Transaction processing
________ generally processes the largest quantities of data. Question options: A) Big data B) Data marts C) Transaction processing D) Operational databases
Pig
________ is an important scripting language to help reduce the complexity of MapReduce. Question options: A) Dog B) Pig C) Horse D) Cat
Neo4j
An organization that requires a sole focus on performance with the ability for keys to include strings, hashes, lists, and sorted sets would select ________ database management system. Question options: A) Neo4j B) Excel Spreadsheet C) Redis D) Access
veracity and value.
Although volume, variety, and velocity are considered the initial three v dimensions, two additional Vs of big data were added and include: Question options: A) veracity and verified. B) verified and valuable. C) veracity and value. D) volume and verified.
Not Only Structured Query Language.
According to your text, NoSQL stands for: Question options: A) Numeric Only Structured Query Language. B) Numbered Structured Query Language. C) Not Only Structured Query Language. D) No Structured Query Language.
MongoDB
An organization that decides to adopt the most popular NoSQL database management system would select: Question options: A) Redis. B) Access. C) MongoDB. D) Neo4j.
Redis
An organization that requires a sole focus on performance with the ability for keys to include strings, hashes, lists, and sorted sets would select ________ database management system. Question options: A) Neo4j B) Excel Spreadsheet C) Redis D) Access
many data types.
Big data requires effectively processing: Question options: A) a single data type (numeric). B) many data types. C) two data types (text and numeric). D) a single data type (text
does not require a strictly defined data model.
Big data: Question options: A) requires a strictly defined schema. B) requires a normalized dataset to 3rd Normal Form. C) does not require a strictly defined data model. D) requires a normalized dataset to BCNF.
not based on the relational model.
NoSQL includes data storage and retrieval: Question options: A) based on normalized tables. B) not based on data. C) not based on the relational model. D) based on the relational model.
sharding
NoSQL systems enable automated ________ to allow distribution of the data among multiple nodes to allow servers to operate independently on the data located on it. Question options: A) mongo B) sharding C) sharing D) SQL
volume, variety, and velocity.
The three 'v's commonly associated with big data include: Question options: A) verified, variety, and velocity. B) volume, variety, and velocity. C) vigilant, viewable, and verified. D) viewable, volume, and variety.
data lake.
When a data repository (including internal and external data) does NOT follow a predefined schema, this is called a: Question options: A) data dump. B) data ocean. C) data lake. D) data stream.
schema on read.
When reporting and analysis organization of the data is determined when the data is used is called a: Question options: A) cognitive schema. B) entity relationship diagram. C) schema binding. D) schema on read.