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Data Engineering Tools

Tools used to build big data pipelines

Data Engineering Tools include tools and technologies used to build big data pipelines, such as workflow schedulers, data integration tools, ETL tools, and data management tools.
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Big Data Engineer - Data Engineering Tools Example Questions

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Question 1

Which tool is used for distributed coordination in Apache Hadoop ecosystem?

Correct Answer: Apache ZooKeeper

Apache ZooKeeper is a distributed coordination service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. Apache Kafka is a distributed streaming platform. Apache Beam is a unified programming model for both batch and streaming data processing. Apache Kylin is an open source online analytical processing (OLAP) engine for big data. Apache HBase is a column-oriented key-value data store, built on top of Hadoop Distributed File System (HDFS). Apache Cassandra is a distributed NoSQL database management system.

Question 2

Which tool is used for in-memory caching in Apache Spark?

Correct Answer: Spark's Resilient Distributed Datasets (RDDs)

Spark's RDDs are fault-tolerant, distributed collections of objects that can be processed in parallel across many nodes in a cluster. RDDs can be cached in memory to speed up processing by avoiding disk I/O.

Question 3

Which tool is used for creating and managing data pipelines in Apache Hadoop ecosystem?

Correct Answer: Apache NiFi

Apache NiFi is a dataflow automation tool used for creating and managing data pipelines. It provides a web-based interface for designing, controlling, and monitoring data flows. Apache Oozie is a workflow scheduler system for managing Hadoop jobs, Apache Crunch is a Java library for creating MapReduce pipelines, Apache Flume is a distributed log collection and aggregation system, Apache Sqoop is a tool for bulk data transfer between Hadoop and relational databases, and Apache Storm is a distributed stream processing system.

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