In the context of big data, what does the term "data ingestion" refer to?
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Data Science · all questionsBig Data and Distributed Computing
Big Data and Distributed Computing
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Which distributed computing framework is designed for low-latency, real-time data processing and is often used for building data pipelines and complex event processing (CEP)?
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What is the primary challenge in processing and analyzing unstructured data in a big data environment?
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In the context of big data storage, what does the term "data replication" involve?
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Which distributed computing framework is commonly used for graph processing and can efficiently analyze large-scale graph data, such as social networks and recommendation systems?
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What is the primary advantage of using a distributed file system like HDFS in big data environments?
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In big data analytics, what is the primary goal of "data imputation"?
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Which distributed computing framework is known for its in-memory data processing capabilities and is often used for iterative machine learning algorithms?
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What does the term "data lineage" refer to in the context of big data analytics?
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In a distributed computing environment, what is the primary role of a "Resource Manager" (ResourceManager) in the Hadoop ecosystem?
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What is the primary advantage of using data lakes in big data architectures?
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In the context of big data, what is the term for the process of preparing and transforming data so that it can be effectively analyzed and visualized?
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Which distributed computing framework is commonly used for querying and managing large datasets in a distributed environment using a SQL-like language?
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What is the primary benefit of using a distributed data processing framework like Apache Spark over traditional batch processing systems?
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In big data analytics, what is the term for the process of summarizing data to discover patterns, trends, and insights that can inform decision-making?
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