![]() ![]() In the year 2006, it was developed by Yahoo. For data analytics and reporting related work, it is most preferred.In Hive, we can use and define custom mapper and reducer.For easy extraction, transformation, and loading of data, it offers several tools.Hive uses a language called HQL, and it is quite similar to SQL.In short, we can summarize Apache Hive as follows. Mostly, business analysts, analysts prefer Hive. Moreover, in Hive, we always have the option to create UDFs (user-defined function) if something is not available. Though, Hive has lots of functions which we can directly use, that makes our work easy. In addition, to processing data stored in a distributed manner, unlike SQL which requires strict adherence to schemas while storing data, Apache Hive works well. Also, Hive uses a query language pretty much similar to SQL known as HQL (Hive query language). However, we don’t have to worry about the backend processes much. Moreover, it converts the queries into MapReduce execution. #HIVE PIGG OOZIE PROJECTS TASKS CODE#Also, it gives the user flexibility by writing less code and do more with it. It becomes one of the top Apache projects later but at first, it was developed at Facebook. Especially, that makes your data analysis easy and quick. Moreover, in Hive, there are many other features. Also, we can optimize Hive queries as similar to SQL query optimization. However, Hive can be easy for all those who are much familiar with SQL. However, first of all, we need to make the data structured then only we can inject in the Hive tables. We use it only when we have structured data. ![]() Introduction to Apache Pig and Hive?īefore we discuss pig vs hive, let’s discuss what is Apache Pig and Hive in detail:īasically, for data analysis, Hive is an integral part of Hadoop Ecosystem. But before all comparison between Pig vs Hive, we will also learn brief introduction of both Hive and Pig. Moreover, we will discuss the pig vs hive performance on the basis of several features. So, in this pig vs hive tutorial, we will learn the usage of Apache Hive as well as Apache Pig. Also, there’s a question that when to use hive and when Pig in the daily work? However, every time a question occurs about the difference between Pig and Hive. #HIVE PIGG OOZIE PROJECTS TASKS FREE#Boost your career with Free Big Data Courses!!Īs we know both Hive and Pig are the major components of Hadoop ecosystem. ![]()
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