Reporting and visualization enables.
Processing of data
User friendly representation
Both A and B
None of the mentioned above
Correct Answer :
C. Both A and B
Reporting and visualization make it possible to process data and present it in a user-friendly manner. Putting data into a chart, graph, or other visual format that may be used to inform analysis and interpretation is known as data visualization (or data presentation). Different stakeholders can engage with and learn from data visualizations since they make the examined data easily understandable.
Related Questions
The goal of most big data solutions is to provide insights into the data through _____.
Hive
HBase
Analysis and reporting
All of the mentioned above
Prescriptive analytics utilizes business rules, artificial intelligence, and ____ to simulates various approaches to these numerous outcomes.
Algorithms
Flowchart
System flow
None of the mentioned above
A hypervisor is a form of ____ used in Cloud hosting to divide and allocate the resources on various pieces of hardware.
Virtualization software
System software
Integrated approach
None of the mentioned above
Amongst which of the following is / are true with reference to hypothesis?
A statement that the researcher wishes to put to the test using the information gathered during a study.
A research question that will be answered as a result of the findings.
A theory that serves as the foundation for the research.
the application of statistics to determine the extent to which the outcomes could have been caused by chance
The _____ tool has the capability of listing all of the possible database schemas.
sqoop-list-databases
Hbase-list
hive schema
sqoop-list-columns
Amongst which of the following represents the Use of Hadoop,
Robust and Scalable
Affordable and Cost Effective
Adaptive and Flexible
All of the mentioned above
In order to interact with HDFS, a command line interface named _____ is provided.
HDFS Shell
DFS Shell
K Shell
FS Shell
In the layered architecture of Big Data Stack, Interfaces and feeds,
Internally managed data
Data feeds from external sources.
It provides access to each and every layer & components of big data stack
All of the mentioned above
A _____ serves as the master, and each cluster has just one NameNode.
Data Node
Block Size
Data block
NameNode
An ____ consisted of highly structured data managed by the line of business in a relational database.
Operational data source
Qualitative data source
Both A and B
None of the mentioned above
______ is best described as a programming model that is used to construct Hadoop-based applications that can be scaled up and down.
Oozie
Zookepper
MapReduce
All of the mentioned above
Amongst which of the following is / are the types of predictive analytics techniques,
Predictive models
Descriptive models
Decision models
All of the mentioned above
Predictive analytics is a process harnesses ____, often massive, data sets into models.
Heterogeneous
Storage
Network
None of the mentioned above
To process large data sets quickly, big data architectures use.
Distributed computing
Cluster computing
Parallel computing
All of the mentioned above
Amongst which of the following is not aligns as a characteristic of HDFS?
HDFS file system is well suited for storing data associated with applications that require low latency data access.
HDFS is well-suited for storing data connected to applications that require low-latency data access to be performed.
HDFS is not suited for instances in which multiple/simultaneous writes to the same file are required.
None of the mentioned above
Amongst which of the following is/are represents the Value of data in Big Data environment,
Worth in information
Useless data
Useless information
None of the mentioned above
Type-2 Hypervisor allows quick and easy access to a guest _____ alongside the host machine running.
Application software
System software
Operating System
None of the mentioned above
Effective _____ prescriptive data tools can help businesses using informed data to create the processes and for managing and analyzing data anytime and anywhere.
Cloud-based
Data warehouse
System ingestion
All of the mentioned above
_____ is a platform for developing data flows for the extraction, transformation, and loading (ETL) of huge datasets, as well as for data analysis.
Spark
HBase
Hive
Pig
The weight of a machine is a,
Discrete variable
Quantitative variable
Qualitative variable
Superlative variable
MongoDB support cross platform and is written in _____ language.
Python
C++
R
Java
Query processing system refers to the entire process from translating a ___ to the database system.
Query
Statement
Function
None of the mentioned above
In the given Virtual Architecture, name the missing layer,
Virtualization layer
Storage layer
Abstract layer
None of the mentioned above
Variety describes one of the biggest challenges of ______.
Big data
Data science
Data integration
None of the mentioned above
______ involves the simultaneous execution of multiple sub-tasks that collectively comprise a larger task.
Parallel data processing
Single channel processing
Multi data processing
None of the mentioned above
Big Data Ingestion Layer concerned with the,
Big Data ingestion pipeline is divided into different layers
Each layer performs a particular function
Both A and B
None of the mentioned above
The data that can be processed, stored, and retrieved in a fixed format called _____,
Structured Data
Unstructured Data
Semi-structured Data
None of the mentioned above
The MapReduce framework is responsible for processing one or more pieces of data and producing the output results as ______.
Maptask
Task execution
Mapper
All of the mentioned above
Security infrastructure refers the data about your constituents needs to be protected to ____.
Meet compliance requirements
Protect the privacy
Both A and B
None of the mentioned above
In Big Data environment, Veracity of data refers -
Quality or fidelity of data
Large size of the data that cannot be process
Small size of the data that can easily process
All of the mentioned above