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Great Learning Academy provides this Hive Hands On course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

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Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

HQL is Hive Query Language, similar to that of MySQL database. It performs operations such as read, write, and manage big data tables and store them in HDFS or any other data sources through Data Definition Language (DDL), Data Manipulation Language (DML), and user-defined functions to query, process, mine and report the data.

SQL codes are lengthier than HQL; however, SQL is faster than non-native HQL, but HQL can operate as quickly as SQL if the cache size is set right. SQL relational database model, but HQL is a combination of object-oriented programming with the relational database. SQL manipulates data in the tables and modifies it. HQL functions with objects and their properties. 

To start learning HiveQL, you will need to be strong with Hive basics. If you are unfamiliar with it, enroll in Great Learning Academy's free Hive Basics course. It is even better if you know MySQL. With that understood well, you can easily be able to learn querying and analyzing using HiveQL.

You can run Hive commands online by following these simple steps. 
Log in to your web console using cloudxlab credentials > Launch Hive on web console > Check the list of all database types> Create your own database > Check metadata of your database > Run your commands using ${env: USER}

Partitioning in Hive is dividing the table into different parts based on the values in a specific column. This is done to organize the tables. Also, it is easier to query a portion of data using partitioning. The columns are partitioned based on values such as date, department, city, etc.

Different types of partitioning in Hive are Dynamic partitioning and Static partitioning. Dynamic partitioning is used when a single insert is given to the partition table, and it loads the data from a non-partitioned table. It takes a little longer than static partitioning to load the data. Also, dynamic partitioning is suitable when massive amounts of data are stored in the table.