Install, configure and maintain enterprise hadoop environment.
Loading data from different datasets and deciding on which file format is efficient for a task. Hadoop developers source large volumes of data from diverse data platforms into Hadoop platform.
Understanding the requirements of input to output transformations.
Hadoop developers spend lot of time in cleaning data as per business requirements using streaming API’s or user defined functions.
Defining Hadoop Job Flows.
Build distributed, reliable and scalable data pipelines to ingest and process data in real-time. Hadoop developer deals with fetching impression streams, transaction behaviours, clickstream data and other unstructured data.
Managing Hadoop jobs using scheduler.
Reviewing and managing hadoop log files.
Design and implement column family schemas of Hive and HBase within HDFS.
Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data....
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