18 Questions
What programming model is used for network log analytics in the provided text?
MapReduce
In which section is a case study on network log analytics discussed?
Analysis 5
What time is associated with a 'busy' status in Analysis 3?
'11:05:02'
How many network log entries are associated with 'sms' in Analysis 5?
2
Which analysis execution includes 'voice' as a status?
Analysis 4
At what time does the first entry with a 'failed' status appear in Analysis 2?
'4:05:02'
What is the main aim of call log analytics discussed in the text?
To analyze call log records using MapReduce programming model
Which type of data is considered for call log analytics in the example provided?
Subscriber information
How many instances does the dataset for call log analytics consist of according to the text?
50 instances
What is NOT a feature included in the input file for call log analytics mentioned in the text?
Network speed
Why do telecom operators use call log records according to the text?
For billing purposes
What does the output_path refer to in the context of call log analytics discussed in the text?
Path to store analysis results
What is the primary purpose of MapReduce in Hadoop?
To analyze and process large datasets in a parallel and distributed manner
What is the role of the NameNode in Hadoop's architecture?
To store metadata about the data blocks and their locations
In the context of call log analytics in Hadoop, what change to the MapReduce function would help retrieve the total calls made by a specific phone number?
Modifying the Reduce function to count calls by phone number
What is the output of Analysis 3 in the given text?
'410072821393822' '410072821393841' '410072821393852'
What kind of data processing task does MapReduce focus on?
Batch processing of large datasets
What aspect of Hadoop does Analysis 4 relate to?
Determining user login frequency
Study Notes
MapReduce Analysis
- Analysis 1 output: '123456789123411', '123456789123412', '123456789123414', '123456789123415', '123456789123416', '123456789123417', '123456789123418', '123456789123420'
- Analysis 2 output: '123456789123416', '123456789123417', '123456789123426', '123456789123427'
Exercises
- Describe the workflow of MapReduce in Hadoop
- Is the NameNode a fallback for Hadoop? Explain the significance of it with Hadoop's architecture
- For the case study of call log analytics in Hadoop, change the MapReduce function to retrieve the total calls made by a particular phone number
- Write a MapReduce program considering an input in a specific way to determine certain things
Call Log Analytics
- Call log analytics is discussed using MapReduce as an example
- The main aim is to analyze call log records using MapReduce programming model
- The input file considered for the call log analytics consists of features such as subscriber_phone_number, cell_id, timestamp, call_duration, phone_id, status, and type_of_call
- The dataset consists of 50 instances and is initially copied into the HDFS using a specific command
- Analysis 2 output: 98869821, 78859821, '5:05:02', 0, 2, 'failed', 'voice'
- Analysis 3 output: 98869812, 78859812, '11:05:02', 15, 1, 'busy', 'sms'
- Analysis 4 output: 98869801, 78859801, '12:05:02', 15, 1, 'busy', 'voice'
- Analysis 5 output: 98869841, 78859841, '12:05:02', 0, 2, 'failed', 'sms'
Network Log Analytics
- Network log analytics is discussed using MapReduce programming model
- The main aim is to analyze network log records using MapReduce programming model
Test your knowledge on analyzing call log output data with this quiz. Questions may cover topics such as parsing data, identifying patterns, and drawing insights from call logs.
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