The Secret Behind Skills For A Successful Big Data Engineer

What Is Big Data Engineer?

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1. HDFS

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2. YARN

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3. MapReduce

4. Apache Hive

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5. Apache Kafka

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6 . Apache Spark

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The Secret Behind Skills For A Successful Big Data Engineer

What Is Big Data Engineer?

It is the responsibility of a Big data Engineer to design, Build, test and Maintain Large data Processing System.

1. HDFS

Hadoop's Storage Component is Where the data is kept in a distributes cluster

2. YARN

Apache Hadoop YARN is the tool for managing and scheduling jobs in the distributed processing framework Hadoop.

3. MapReduce

Writing application that can process Big data in parallel on Numerous nodes is possible using the MapReduce Programming model.

4. Apache Hive

Hive is a distributed, Fault-tolerant data werehouse that enables massively parallel analytics

5. Apache Kafka

kafka is an Event store and streaming platform developed by Apache

6 . Apache Spark

Spark is an open-source data analytics engine designed for processing large amounts of data