Data Engineering Chapter 2: Understanding Data

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Questions and Answers

What is a characteristic of structured data that makes it suitable for machine learning algorithms?

  • High storage requirements
  • Ability to store large amounts of data
  • Specific and organized architecture (correct)
  • Flexibility in data usage

What is a limitation of structured data in terms of its usage?

  • It can only be used for its intended purpose (correct)
  • It is highly susceptible to data breaches
  • It requires advanced software to analyze
  • It requires a large amount of storage space

What type of data storage systems are typically used for structured data?

  • Relational databases
  • Distributed file systems
  • Data warehouses with rigid schemas (correct)
  • Cloud-based storage systems

What is an example of a use case for structured data?

<p>Customer relationship management (CRM) (C)</p>
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What is a benefit of structured data for business users?

<p>It does not require an in-depth understanding of different types of data (C)</p>
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What is an example of structured data?

<p>Hotel and ticket reservation data (C)</p>
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What is the primary purpose of collecting and analyzing data?

<p>To gain a competitive edge and improve operations (C)</p>
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What percentage of all data is typically represented by structured data?

<p>5% to 10% (B)</p>
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What is a characteristic of structured data?

<p>It has a well-defined structure or adheres to a specified data model (A)</p>
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What is an example of a source of structured data?

<p>Online forms (B)</p>
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What is the primary difference between data and unorganized information?

<p>Data is processed to make it meaningful, while unorganized information is not (B)</p>
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What is a common use of data in various fields?

<p>To derive insights, make decisions, and solve problems (C)</p>
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What is a characteristic of unstructured data that makes it challenging to analyze?

<p>It lacks a predefined structure (B)</p>
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What is a use case for unstructured data involving image analysis?

<p>Object recognition in images (D)</p>
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Why is data science expertise required for unstructured data?

<p>Because it has an undefined or non-formatted nature (D)</p>
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What is an example of a specialized tool required for unstructured data?

<p>Text analysis software (C)</p>
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What is a benefit of using unstructured data in business?

<p>It enables businesses to better accommodate their customer base (B)</p>
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What is the role of unstructured data in big data analytics?

<p>It plays a significant role in processing large volumes of varied data (A)</p>
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What is the primary function of Predictive Data Analytics in business?

<p>Alert businesses of important activity ahead of time (B)</p>
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What is a characteristic of Semi-Structured data?

<p>It contains tags and elements to group data (B)</p>
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What is the purpose of a Data Lake?

<p>To store all structured and unstructured data at any scale (C)</p>
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What is Amazon DynamoDB designed for?

<p>To provide seamless scalability for applications (A)</p>
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What is the primary function of Chatbots?

<p>To route customer questions to appropriate answer sources (C)</p>
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What is MongoDB used for?

<p>To provide support for JSON-like storage (B)</p>
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What is a common challenge when integrating semi-structured data with traditional databases?

<p>Custom solutions or middleware requirements (A)</p>
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What is an example of using semi-structured data for investment insights?

<p>Analyzing semi-structured financial news articles and earnings reports (B)</p>
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What is an advantage of using Apache Cassandra for semi-structured data?

<p>Scalability and high availability without compromising performance (A)</p>
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What is an example of using semi-structured data for personalized product recommendations?

<p>Analyzing customer browsing and purchase history (B)</p>
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What type of data is typically stored in e-commerce platforms?

<p>Semi-structured data (C)</p>
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What is an example of using semi-structured data from social media?

<p>Analyzing user profiles from social media (A)</p>
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