Learning path
/ Hadoop
Hadoop is an open source, Java-based programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment. The below expert designed Hadoop Learning Path helps you to learn Hadoop and organize big data with unique DIY project-based training. This learning path also covers Hadoop projects, competitive tests and interview questions related to technologies such as MapReduce, Apache Pig, Kafka Streaming, Yarn and Zookeeper, Apache Sqoop, Apache Flume, and many more.
Pre-requisites: Basics of Java, Linux, Understanding of Big Data.
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Start Learning for FreeHadoop is distributed system, meaning it’s an interconnected system of computers that looks to the user as just one single entity.
When a client submits a MapReduce Job, the job is split into several tasks and the nodes take on a fixed number of tasks per node Written mainly in Java, with some components written in C and bash Designed around processing high throughput of large data rather than response times Hadoop is highly configurable, both in its operations and job configurations.
This level in SkillPractical Hadoop Learning Path is designed by our experts to give our learners the best way to LEARN real-time Hadoop projects using HDFS, PIG, and Hive, PRACTICE competitive tests, and PREPARE for Interviews.
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