Читать книгу Big Data - Seifedine Kadry - Страница 47

1 Big Data is _________.StructuredSemi‐structuredUnstructuredAll of the aboveAnswer:dExplanation: Big Data is a blanket term for the data that are too large in size, complex in nature, and which may be structured, unstructured, or semi‐structured and arriving at high velocity as well.

2 The hardware used in big data is _________.High‐performance PCsLow‐cost commodity hardwareDumb terminalNone of the aboveAnswer:bExplanation: Big data uses low‐cost commodity hardware to make cost‐effective solutions.

3 What does commodity hardware in the big data world mean?Very cheap hardwareIndustry‐standard hardwareDiscarded hardwareLow specifications industry‐grade hardwareAnswer:dExplanation: Commodity hardware is a low‐cost, low performance, and low specification functional hardware with no distinctive features.

4 What does the term “velocity” in big data mean?Speed of input data generationSpeed of individual machine processorsSpeed of ONLY storing dataSpeed of storing and processing dataAnswer:d

5 What are the data types of big data?Structured dataUnstructured dataSemi‐structured dataAll of the aboveAnswer:dExplanation: Machine‐generated and human‐generated data can be represented by the following primitive types of big dataStructured dataUnstructured dataSemi‐Structured data

6 JSON and XML are examples of _________.Structured dataUnstructured dataSemi‐structured dataNone of the aboveAnswer:cExplanation: Semi‐structured data are that which have a structure but do not fit into the relational database. Semi‐structured data are organized, which makes it easier for analysis when compared to unstructured data. JSON and XML are examples of semi‐structured data.

7 _________ is the process that corrects the errors and inconsistencies.Data cleaningData IntegrationData transformationData reductionAnswer:aExplanation: The data‐cleaning process fills in the missing values, corrects the errors and inconsistencies, and removes redundancy in the data to improve the data quality.

8 __________ is the process of transforming data into an appropriate format that is acceptable by the big data database.Data cleaningData IntegrationData transformationData reductionAnswer:cExplanation: Data transformation refers to transforming or consolidating the data into an appropriate format that is acceptable by the big data database and converting them into logical and meaningful information for data management and analysis.

9 __________ is the process of combining data from different sources to give the end users a unified data view.Data cleaningData integrationData transformationData reductionAnswer:b

10 __________ is the process of collecting the raw data, transmitting the data to a storage platform, and preprocessing them.Data cleaningData integrationData aggregationData reductionAnswer:c