Big Data Chapter 1: Data Basics

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Questions and Answers

What is the primary advantage of using a relational database management system (RDBMS) like VoltDB?

  • Guarantees eventual consistency
  • Focuses on mining patterns and trends
  • Stores unstructured data efficiently
  • Provides ACID guarantees for structured data (correct)

Which type of database is best suited for handling fast-moving data characterized by massive historical archives?

  • Eventual consistency databases
  • SQL databases like GenieDB (correct)
  • NoSQL databases like mongoDB
  • Schemeless KV databases

What is the key characteristic of NoSQL databases like CouchDB?

  • ACID guarantees for transactions
  • Schemeless and document-oriented (correct)
  • Structured data organization
  • Relational data models

In the context of Big Data, what does the term 'Velocity' refer to?

<p>Data useful in its temporal state (A)</p> Signup and view all the answers

Which of the following is a characteristic feature of unstructured data?

<p>Includes text, emails, pictures (B)</p> Signup and view all the answers

What is the main advantage of using cloud storage for handling Big Data?

<p>Enables scaling for large volumes of data (D)</p> Signup and view all the answers

What is the purpose of the Insights stage in data analysis?

<p>To extract meaningful insights like hidden patterns and market trends (A)</p> Signup and view all the answers

Which of the following is NOT a commonly used method for conducting data analyses?

<p>Structured Query Language (SQL) (B)</p> Signup and view all the answers

What is the main function of a Relational Database Management System (RDBMS)?

<p>Organizing and managing stored data in tables (C)</p> Signup and view all the answers

What does ACID stand for in the context of Transaction Management in databases?

<p>Atomicity, Consistency, Isolation, Durability (A)</p> Signup and view all the answers

What can a Database Management System (DBMS) do?

<p>Retrieve data and run queries (D)</p> Signup and view all the answers

Which type of system solves problems when there are lots of transactions occurring concurrently?

<p>Relational Database Management System (RDBMS) (C)</p> Signup and view all the answers

What is the primary function of an analytics database?

<p>Specialize in returning queries quickly (A)</p> Signup and view all the answers

In the context of data lifecycle, which stage involves making formats and units consistent?

<p>Data Preparation (A)</p> Signup and view all the answers

What is the purpose of data imputation in the data preprocessing stage?

<p>Filling in missing values (A)</p> Signup and view all the answers

Which type of analytics deals with predicting future outcomes based on historical data?

<p>Predictive analytics (B)</p> Signup and view all the answers

What is the primary purpose of data visualization?

<p>Summarize raw data into meaningful insights (C)</p> Signup and view all the answers

Which task involves removing irrelevant or inaccurate data points from a dataset?

<p>Removing suspicious data (B)</p> Signup and view all the answers

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Study Notes

  • Data in Big Data are quantities, characters, or symbols processed by computers, containing value and knowledge that needs to be stored, managed, and analyzed to extract insights.
  • Big Data is characterized by the 3Vs: Velocity (moves at high rates), Volume (massive historical archives), and Variety (from structured to unstructured data).
  • Examples of sources for Big Data include online gaming, sensor data, financial trade, internet commerce, and mobile platforms.
  • Different data management tools for Big Data include DBMS & Cloud for storing and scaling, New SQL for structured data, and NoSQL for unstructured data.
  • The stages of working with data involve collecting data through research and making inferences to gain insights, with steps like data preparation, collection, analysis, visualization, and decision-making.

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