Podcast
Questions and Answers
What is the primary advantage of using a relational database management system (RDBMS) like VoltDB?
What is the primary advantage of using a relational database management system (RDBMS) like VoltDB?
Which type of database is best suited for handling fast-moving data characterized by massive historical archives?
Which type of database is best suited for handling fast-moving data characterized by massive historical archives?
What is the key characteristic of NoSQL databases like CouchDB?
What is the key characteristic of NoSQL databases like CouchDB?
In the context of Big Data, what does the term 'Velocity' refer to?
In the context of Big Data, what does the term 'Velocity' refer to?
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Which of the following is a characteristic feature of unstructured data?
Which of the following is a characteristic feature of unstructured data?
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What is the main advantage of using cloud storage for handling Big Data?
What is the main advantage of using cloud storage for handling Big Data?
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What is the purpose of the Insights stage in data analysis?
What is the purpose of the Insights stage in data analysis?
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Which of the following is NOT a commonly used method for conducting data analyses?
Which of the following is NOT a commonly used method for conducting data analyses?
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What is the main function of a Relational Database Management System (RDBMS)?
What is the main function of a Relational Database Management System (RDBMS)?
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What does ACID stand for in the context of Transaction Management in databases?
What does ACID stand for in the context of Transaction Management in databases?
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What can a Database Management System (DBMS) do?
What can a Database Management System (DBMS) do?
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Which type of system solves problems when there are lots of transactions occurring concurrently?
Which type of system solves problems when there are lots of transactions occurring concurrently?
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What is the primary function of an analytics database?
What is the primary function of an analytics database?
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In the context of data lifecycle, which stage involves making formats and units consistent?
In the context of data lifecycle, which stage involves making formats and units consistent?
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What is the purpose of data imputation in the data preprocessing stage?
What is the purpose of data imputation in the data preprocessing stage?
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Which type of analytics deals with predicting future outcomes based on historical data?
Which type of analytics deals with predicting future outcomes based on historical data?
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What is the primary purpose of data visualization?
What is the primary purpose of data visualization?
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Which task involves removing irrelevant or inaccurate data points from a dataset?
Which task involves removing irrelevant or inaccurate data points from a dataset?
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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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Description
Test your knowledge of the fundamental concepts related to big data, including the definition of data, the characteristics of big data, and the importance of storing, managing, and analyzing data for extracting insights. Explore the challenges posed by the volume and complexity of big data.
