Data can arrive at fast speed
Enormous datasets can accumulate within very short periods of time
Velocity of data translates into the amount of time it takes for the data to be processed
All of the mentioned above
D. All of the mentioned above
Account data
Historical data
Financial data
None of the mentioned above
Big Data ingestion pipeline is divided into different layers
Each layer performs a particular function
Both A and B
None of the mentioned above
Input data
Output data
Process data
All of the mentioned above
Traffic and Engagement Reports
Financial Statement Analysis
Demand Trends and Aggregated Survey Results
All of the mentioned above
Master-slave architecture
Master-worker architecture
Worker-slave architecture
All of the mentioned above
Java
PHP
C#
None of the mentioned above
Predictive models
Descriptive models
Decision models
All of the mentioned above
TYPE-1 Hypervisor
TYPE- 2 Hypervisor
Both A and B
None of the mentioned above
Schema
Table
Both A and B
None of the mentioned above
Large-scale
Cloud-based
Data warehousing
All of the mentioned above
Quickly and efficiently
Systematic approach
Both A and B
All of the mentioned above
Processing of data
User friendly representation
Both A and B
None of the mentioned above
Maptask
Task execution
Mapper
All of the mentioned above
Structured Data
Unstructured Data
Semi-structured Data
None of the mentioned above
Cloud computing
Power BI
System development
None of the mentioned above
Primary Index
Secondary Index
Complex Index
None of the mentioned above
Business organizations
System development
Employees development
All of the mentioned above
Default location of Hadoop configuration is in $HADOOP /conf/ HOME
If $HADOOP HOME is specified, Sqoop will utilise the default installation location
default location of Hadoop configuration is in $HADOOP HOME/conf/
Sqoop command-line tool serves as a wrapper for the bin/hadoop script that is included with Hadoop as a base.
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
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
High availability through built-in replication and failover
Management tooling for automation, monitoring, and backup
Fully elastic database as a service with built-in best practices
All of the mentioned above
Analyzes data
Data storage
Data ingestion
None of the mentioned above
sqoop-list-databases
Hbase-list
hive schema
sqoop-list-columns
Data ingestion and data mining
Data warehouse and data storage
Data aggregation and data mining
All of the mentioned above
Transportation of data from the ingestion layer to the rest of the data pipeline
Data storage
Data identification
None of the mentioned above
Virtualization software
System software
Integrated approach
None of the mentioned above
Students roll number, age
Videos
Audio files
Both B and C
To visualize the data
To access the data
To process the data
All of the mentioned above
t-test
mean
standard deviation
range
Includes multiple formats and types of data
Includes structured data in the form of financial transactions,
Includes semi-structured data in the form of emails and unstructured data in the form of images
All of the mentioned above