DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Data Replication
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Data Integration
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Data Cleansing
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All of these
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None of these
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Detailed explanation-1: -Explanation: after acquiring the data, data scientists perform Data Cleansing. Data cleansing is a critical step in preparing data for use in subsequent operations, whether in operational activities or in downstream analysis and reporting. It is most effectively accomplished with the use of data quality technologies.
Detailed explanation-2: -Which of the following step is performed by data scientist after acquiring the data? Explanation : Data cleaning or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database.
Detailed explanation-3: -What is the use of data cleaning? C. transformations to correct the wrong data. Explanation: Data cleaning is a technique that is applied to remove the noisy data and correct the inconsistencies in data.
Detailed explanation-4: -3. Which of the following characteristic of big data is relatively more concerned to data science? Explanation: Big data enables organizations to store, manage, and manipulate vast amounts of disparate data at the right speed and at the right time.
Detailed explanation-5: -What are the main components of Big Data? (A) MapReduce (B) HDFS (C) YARN (D) All of these Answer-D 3. What are the different features of Big Data Analytics? (A) Open-Source (B) Scalability (C) Data Recovery (D) All the above Answer-D 4.