pig latin interview questions - Wikitechy https://www.wikitechy.com/interview-questions/tag/pig-latin-interview-questions/ Interview Questions Tue, 14 Sep 2021 12:19:30 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://www.wikitechy.com/interview-questions/wp-content/uploads/2025/10/cropped-wikitechy-icon-32x32.png pig latin interview questions - Wikitechy https://www.wikitechy.com/interview-questions/tag/pig-latin-interview-questions/ 32 32 What is the difference between Pig, Hive and MapReduce ? https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-difference-between-pig-hive-and-mapreduce/ https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-difference-between-pig-hive-and-mapreduce/#respond Mon, 12 Jul 2021 08:26:57 +0000 https://www.wikitechy.com/interview-questions/?p=207

Difference between Pig, Hive and MapReduce

Pig Hive Hadoop mapreduce
Pig is a scripting language SQL like query language It is a compiled language
Higher level of abstraction Higher level of abstraction Hadoop mapreduce used lower level of abstraction
Comparatively less line of codes
than mapreduce		 Comparatively less lines of code
than mapreduce and apache pig		 More lines of code
Development effort is less code efficiency
is relatively less		 Development effort is less code
efficiency is relatively less		 More development , effort is involved
Code efficiency is relatively less Code efficiency is relatively less Code efficiency is high when compared
to pig and hive
Pig is open source Hive open source Hadoop MapReduce were built so that hadoop developers could do the same
thing in Java in a less verbose way by writing only
fewer lines of code that is easy to understand
Disadvantage of pig is that commands
are not executed unless either you dump
or store an intermediate or final result.This
increases the iteration between debug and
resolving the issue.		 Disadvantages of hive is that No
real time access to data, Updating
data is complicated		 The only drawback that developers need to write several lines of basic java code
differences-between-hive-and-pig
]]> https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-difference-between-pig-hive-and-mapreduce/feed/ 0 What is the advantages of pig in Hadoop ? https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-advantages-of-pig-in-hadoop/ https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-advantages-of-pig-in-hadoop/#respond Mon, 12 Jul 2021 08:04:01 +0000 https://www.wikitechy.com/interview-questions/?p=197

Advantages of pig in Hadoop

    • The development time is Decrease.
    • It is a collection of Rich set of operators in order to perform operations such as join, filer, sort and many more.
    • Pig Latin is similar to SQL, it becomes very easy for developers to write a Pig script.
    • The task execution in Apache Pig it gets automatically optimized , hence the programmers need to focus on semantics language.
Big data sdd
  • Using the existing operators, users can easily develop their own functions to process,read, and write data.
  • Pig provide the facility for creating User Defined Functions UDF’s, we can easily create a number of programming languages such as Java and invoke them in Pig Scripts.
  • All types of data handling are having both structured & unstructured is provided by Apache Pig and the results are stored inside HDFS.
  • You have UDFs which you want to parallellize and utilize for large amounts of data, then you are in luck. Use Pig as a base pipeline where it does the hard work and you just apply your UDF in the step that you want.
]]> https://www.wikitechy.com/interview-questions/apache-pig/what-is-the-advantages-of-pig-in-hadoop/feed/ 0 What is Hbase used for, and what are the benefits that it provides over Pig and Hive ? https://www.wikitechy.com/interview-questions/apache-pig/what-is-hbase-used-for-and-what-are-the-benefits-that-it-provides-over-pig-and-hive/ https://www.wikitechy.com/interview-questions/apache-pig/what-is-hbase-used-for-and-what-are-the-benefits-that-it-provides-over-pig-and-hive/#respond Mon, 12 Jul 2021 07:58:18 +0000 https://www.wikitechy.com/interview-questions/?p=194

Hbase uses

  • HBASE will not replace Map Reduce. It is scalable distributed database.
  • Hbase processing data will act as Map Reduce.
  • The Hadoop database is define Apache HBase.
  • HBase is a sub-project of the Apache Hadoop project and is used to provide real-time read and write access to big data.
  • Hbase is a Bigtable clone.
  • Hbase is a open source.
  • Hbase called as Cascading connector.

what are the Features that it provides over Pig and Hive?

  • Possible to create tables in Hive and store data,it can even map the user’s existing HBase tables to Hive and operate on them.
  • Hive should be used for analyzing query of data collected over a period of time.
  • Hbase has got its own set of very good Application Programming Interface(API) which could be used to push/pull the data.
  • It has a good community for the future.It developed on top if hadoop already used to integration for the Hadoop platform.
  • Hbase can be integrated with MapReduce that can do bulk operation, like indexing, analytics etc.
    • Distributed storage
    • Table-like in data structure
    • multi-dimensional map
    • High scalability
    • High availability
    • High performance
  • A distributed data store that can scale horizontally to 1,000s of commodity servers and petabytes of indexed storage.
  • Designed to operate on top of the Hadoop distributed file system (HDFS) or Kosmos File System (KFS, aka Cloudstore) for scalability, fault tolerance, and high availability.
]]> https://www.wikitechy.com/interview-questions/apache-pig/what-is-hbase-used-for-and-what-are-the-benefits-that-it-provides-over-pig-and-hive/feed/ 0 What is Pig in Hadoop ? https://www.wikitechy.com/interview-questions/apache-pig/what-is-pig-in-hadoop/ https://www.wikitechy.com/interview-questions/apache-pig/what-is-pig-in-hadoop/#respond Mon, 12 Jul 2021 06:43:27 +0000 https://www.wikitechy.com/interview-questions/?p=187

Pig in Hadoop

  • User can perform all the data manipulation operations in Hadoop using Apache Pig.
  • Apache Pig is an abstraction over MapReduce.
pigcompilation

Need Apache Pig:

  • Using Pig Latin, programmers can perform MapReduce tasks codes in Java.
  • Apache Pig uses multi-query approach, it reducing the length of codes.
  • For example, an operation that would require you to type 200 lines of code in Java can be easily done by typing just ten lines of codes in Apache Pig.
  • Ultimately Apache Pig reduces the development time by almost sixteen times.
pig-latin
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