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What is the purpose of Sqoop in the Hadoop ecosystem?
What is the purpose of Sqoop in the Hadoop ecosystem?
- Sqoop is used for developing SQL type scripts in Hadoop
- Sqoop is used for real-time data processing in Hadoop
- Sqoop is used to import and export data between HDFS and RDBMS (correct)
- Sqoop is used for parallel programming model in Hadoop
What is the primary function of Pig in the Hadoop ecosystem?
What is the primary function of Pig in the Hadoop ecosystem?
- Pig is used to import and export data between HDFS and RDBMS
- Pig is a data warehouse infrastructure tool
- Pig is used for real-time data processing in Hadoop
- Pig is a procedural language platform used to develop scripts for MapReduce operations (correct)
What is the main purpose of Hive in the Hadoop ecosystem?
What is the main purpose of Hive in the Hadoop ecosystem?
- Hive is used for real-time data processing in Hadoop
- Hive is a data warehouse infrastructure tool to process structured data in Hadoop (correct)
- Hive is used to import and export data between HDFS and RDBMS
- Hive is a procedural language platform used to develop scripts for MapReduce operations
What is the role of MapReduce in the Hadoop framework?
What is the role of MapReduce in the Hadoop framework?
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What is the primary function of HDFS in the Hadoop framework?
What is the primary function of HDFS in the Hadoop framework?
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Study Notes
Hadoop Ecosystem Components
- Sqoop is a data transfer tool that enables the transfer of data between Hadoop and structured data stores such as relational databases, allowing users to extract data from external sources and import it into Hadoop for analysis.
- Pig is a high-level data processing language that allows users to write data analysis programs in a SQL-like language, making it easier to write data analysis programs and extract insights from large datasets.
- Hive is a data warehousing and SQL-like query language for Hadoop, providing a way to extract, transform, and load data for analysis, making it easier to perform data analysis and create data visualizations.
- MapReduce is a programming model and software framework that allows users to process large datasets in parallel across a cluster of nodes, enabling the processing of massive amounts of data in a scalable and fault-tolerant manner.
- HDFS (Hadoop Distributed File System) is a distributed file system that allows users to store and manage large amounts of data across a cluster of nodes, providing a scalable and fault-tolerant way to store data for processing and analysis.
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