By ResumeKraft
Big data engineers typically have a strong background in computer science and experience with big data technologies
Hadoop is an open-source software framework for storing and processing big data. It is scalable and can be used on commodity hardware.
Spark is an open-source big data processing framework. It is fast and can be used for both batch and real-time processing.
NoSQL databases are used for storing and processing big data. They are scalable and can handle large amounts of data.
Java is a programming language that is used for developing big data applications.
MapReduce is a programming model for processing big data. It is used to process large amounts of data in a parallel and distributed manner.
Pig is a big data processing platform that is used for data analysis and manipulation.
Hive is a data warehouse system that is used for storing and querying big data.
Sqoop is a tool that is used for transferring data between Hadoop and relational databases.
Flume is a tool that is used for collecting, aggregating, and transferring big data.
Oozie is a workflow scheduler that is used for managing big data jobs.
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