Hadoop Ecosystem

Correct Answer: To transfer data between Hadoop and structured data stores such as relational databases

Apache Sqoop is used to transfer data between Hadoop and structured data stores such as relational databases, data warehouses, and NoSQL systems. It allows importing data from these sources into Hadoop for processing with tools like MapReduce and Hive, or exporting data from Hadoop back to these sources.

Correct Answer: To provide a fast and flexible data processing platform that supports multiple languages and APIs

Spark is a distributed data processing platform that is designed to be fast, flexible, and easy to use. It supports multiple languages and APIs, including Scala, Java, Python, and R, and provides a wide range of data processing capabilities, including batch processing, stream processing, SQL queries, machine learning, and graph processing. This makes it a versatile tool for a wide range of big data use cases.

Correct Answer: Simplifies the development of complex MapReduce tasks by providing a high-level language and dataflow model

Pig is a platform for creating and executing MapReduce tasks in Hadoop. It provides a high-level language and dataflow model that makes it easier to develop and maintain complex data processing pipelines. Pig is particularly useful for ETL (Extract, Transform, Load) tasks and processing unstructured data. By simplifying the development of MapReduce tasks, it can help organizations reduce development time and costs while increasing productivity.