Should Cloudera or MapR be used for Hadoop distribution?

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Cloudera is preferred as MapR is discontinued and Cloudera offers strong support and integration.
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depends on specific needs and priorities
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Cloudera is preferred now because: MapR was acquired by HPE and its support/community declined. Cloudera is actively maintained, widely used, and offers strong enterprise support. It includes Hadoop ecosystem tools (Hive, HBase, Spark, etc.) in a unified platform. Verdict: Use Cloudera...
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Cloudera is preferred now because: MapR was acquired by HPE and its support/community declined. Cloudera is actively maintained, widely used, and offers strong enterprise support. It includes Hadoop ecosystem tools (Hive, HBase, Spark, etc.) in a unified platform. Verdict: Use Cloudera for better support and future-proofing. read less
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Cloudera is preferred now because: MapR was acquired by HPE and its support/community declined. Cloudera is actively maintained, widely used, and offers strong enterprise support. It includes Hadoop ecosystem tools (Hive, HBase, Spark, etc.) in a unified platform
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Cloudera is preferred now because: MapR was acquired by HPE and its support/community declined. Cloudera is actively maintained, widely used, and offers strong enterprise support. It includes Hadoop ecosystem tools (Hive, HBase, Spark, etc.) in a unified platform
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My name is Rajesh , working as a Recruiter from past 6 years and thought to change my career into software (development / admin/ testing ) am seeking for some suggestion which technology I need to learn ? Any job after training ? Or where I can get job within 3 months after finishing my training programme- your advices are highly appreciated
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