Hadoop interview questions : Hadoop has a generic programming interface for writing the map and reducing jobs in any programming language like Python, Perl, Ruby, etc. This is called Hadoop Streaming. Users can create and run jobs with any type of shell or executable scripts like the Mapper or Gearboxes. The best configuration for Hadoop job execution is double core or dual processors with 4 GB or 8 GB of RAM that use ECC memory. Hadoop strongly benefits from the use of ECC memory although it is not low. ECC memory is recommended for Hadoop execution because most Hadoop users have experienced various checksum errors using non-ECC memory. However, the hardware configuration also depends on workflow requirements and may change accordingly.
Large data is defined as the voluminous amount of structured, unstructured or semi-structured data that has enormous potential for mining but is so large that it can not be processed using base systems Of traditional data. Important data are characterized by their high speed, volume and variety, which require cost-effective and innovative ways of processing information in order to learn meaningful lessons. More than the volume of data - it is the nature of the data that defines whether it is considered Big Data or not.
Dear readers, these Hadoop interview questions were designed specifically to familiarize you with the nature of the questions you may encounter during your interview for the Hadoop topic. In my experience, good interviewers have little intention of asking a particular question during your interview, normally the questions begin with a basic concept of the subject and later they continue on the basis of further discussion And what you reply.
Large data is defined as the voluminous amount of structured, unstructured or semi-structured data that has enormous potential for mining but is so large that it can not be processed using base systems Of traditional data. Important data are characterized by their high speed, volume and variety, which require cost-effective and innovative ways of processing information in order to learn meaningful lessons. More than the volume of data - it is the nature of the data that defines whether it is considered Big Data or not.
Dear readers, these Hadoop interview questions were designed specifically to familiarize you with the nature of the questions you may encounter during your interview for the Hadoop topic. In my experience, good interviewers have little intention of asking a particular question during your interview, normally the questions begin with a basic concept of the subject and later they continue on the basis of further discussion And what you reply.