Big data is a field that treats ways to analyze and systematically extract information from or otherwise deal with data sets. Data can be large or complex to be dealt with by traditional data processing applications software
- A large amount of data
- It is a popular term used to express the exponential growth of data.
- Big data is difficult to store, collect, maintain, analyze and visualize.
Distributed file system: A distributed file system is a file system in which data is stored on a server. The data is accessed and processed as if it were stored on the local client machine. The following are the Characteristics of distributed file system:
- Transparency
- user mobility
- Performance
- simplicity and ease of use
- Scalability
- high availability
- high reliability
Big data tools: Apache Hadoop, Apache Storm, Cassandra, Mongo DB, Neo4j. Learn More.
Big data sources: Amazon, Redshift, Mongo DB
Challenges of big data:
- Uncertainty of data management
- The talent gap in big data
- Getting data into a big data structure
- Synchronizing across data sources
- Integration
Benefits of big data:
- Cost
- Time reduction
- Speeding up decision-making
- Analyze in real-time
- Model and Test variation
Characteristics of big data: Learn More
- Volume
- Velocity
- Variety
Types of big data:
- Structured
- unstructured
- Semi-structured
- hybrid
Use cases of big data: Learn More.
- Recommendation engine
- Analyzing call detail records
- Fraud detection
- Market basket analysis
- sentiment analysis
BIG Data MCQs
What are the main components of big data?
Real-Life Problems
Prep for Target Roles
Custom Plan Duration
Flexible Plans
Identify the slave node among the following.
Identify the term used to define the multidimensional model of the data warehouse.
Identify whether true or false: Qubole Is a big data tool.
In which language is Hadoop written?
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Mapper class is
On which of the following platforms does Hadoop run?
Real-Life Problems
Detailed reports
Small logical units where data warehouses hold large amounts of data is known as _____.
The output of map tasks is written in?
The total forms of big data is ____
Total V’s of big data is ____
Transaction of data of the bank is a type of.
Identify the operation which can be performed in the data warehouse.
What is the minimum amount of data that a disk can read or write in HDFS?
What is the source of all data warehouse data known as?
What is the time horizon in the data warehouse?
What is the use of data cleaning?
Where can the data be updated?
Which of the following are the Benefits of Big Data Processing?
Which of the following can be generally used to clean and prepare big data.
Which of the following is not a part of the data science process.
Which of the following is true about big data?
________ is data about data.
___________ is a collection of data that is used in volume, yet growing exponentially with time
Fact tables are _______
Among the following option which of the following property gets configured on mapred-site.xml
Among the following options choose the one which depicts the correct reason why big data analysis is difficult to optimize.
Among the following options which component deals with ingesting streaming data into Hadoop?
Among the following which does the Job control in Hadoop?
Big data analysis does the following except?
Choose the incorrect property of the data warehouse.
Choose the languages which are used in data science.
Choose the primary characteristics of big data among the following
Data in ____ bytes size is called big data
DSS in data warehouse stands for __________
Efficiency and scalability of data mining algorithms" issues come under?
All of the following accurately describe Hadoop, except
Fixed-size pieces of MapReduce job is known as ________
Hadoop Common Package contains?
How many approaches are there in data warehousing to integrate heterogeneous databases?
Identify among the following for which system of data warehousing is mostly used.
Identify among the options below which is general-purpose computing model and runtime system for Distributed Data Analytics.
Identify the correct definition of Reconciled data.
Identify the correct options which are considered before investing in data mining
Identify the different features of Big Data Analytics.
Identify the incorrect big data Technologies.
Identify the most common source of change data in refreshing a data warehouse.
Identify the node which acts as a checkpoint node in HDFS.
