What is the difference between Pig and Hive?

1) Hive Hadoop Component is used mainly by data analysts whereas Pig Hadoop Component is generally used by Researchers and Programmers. 2) Hive Hadoop Component is used for completely structured Data whereas Pig Hadoop Component is used for semi structured data.

Why do we use hive?

Apache Hive is a component of Hortonworks Data Platform(HDP). Hive provides a SQL-like interface to data stored in HDP. In the previous tutorial, we used Pig, which is a scripting language with a focus on dataflows. Hive provides a database query interface to Apache Hadoop.
  • What is the use of Hive?

    Hive has three main functions: data summarization, query and analysis. It supports queries expressed in a language called HiveQL, which automatically translates SQL-like queries into MapReduce jobs executed on Hadoop. In addition, HiveQL supports custom MapReduce scripts to be plugged into queries.
  • What are the tables in hive?

    Data Units. In the order of granularity - Hive data is organized into: Databases: Namespaces function to avoid naming conflicts for tables, views, partitions, columns, and so on. Databases can also be used to enforce security for a user or group of users. Tables: Homogeneous units of data which have the same schema.
  • What is meant by HDFS?

    The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. In a large cluster, thousands of servers both host directly attached storage and execute user application tasks.

What is the primary purpose of pig in the Hadoop architecture?

Apache Pig - Architecture. The language used to analyze data in Hadoop using Pig is known as Pig Latin. It is a highlevel data processing language which provides a rich set of data types and operators to perform various operations on the data.
  • What is the use of oozie in Hadoop?

    Oozie is a workflow scheduler system to manage Apache Hadoop jobs. Oozie Workflow jobs are Directed Acyclical Graphs (DAGs) of actions. Oozie Coordinator jobs are recurrent Oozie Workflow jobs triggered by time (frequency) and data availability. Oozie is a scalable, reliable and extensible system.
  • Is hive a data warehouse?

    Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data summarization, query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
  • What is Mapreduce model?

    MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster.

What is pig technology?

Apache Pig is an open-source technology that offers a high-level mechanism for the parallel programming of MapReduce jobs to be executed on Hadoop clusters.
  • Is Avro open source?

    Avro is a remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format. Apache Spark SQL can access Avro as a data source.
  • What does Avro stand for?

    AVROAutoduellists of the Vancouver Regional Organization
    AVROAustralian Vietnamese Relief Organisation (est. 2001)
    AVROAlgemene Vereniging Radio Omroep
    AVROAV Roe (Aircraft manufacturer, UK & Canada)
  • What is ORC format in Hadoop?

    RCFile (Record Columnar File), the previous Hadoop Big Data storage format on Hive, is being challenged by the smart ORC (Optimized Row Columnar) format.

Updated: 3rd October 2019

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