Hive Hands on
Get your hands-on Hive tool to process, query and analyze structured data with a free online course.
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About this course
Hive is a Hadoop Stack component, an open-source data warehouse infrastructure designed to process structured data in Hadoop. Resided on top of Hadoop, it summarizes big data and makes it easier to query and analyze data. Hive was developed by Facebook and later sold to Apache. It runs queries in Hive Query Language (HQL) like SQL, which internally converts into map-reduce functions. It uses Data Definition Language (DDL), Data Manipulation Language (DML), and user-defined functions to query, process, mine, and report the data.
This free Hive Hands-On online course will provide insights into different concepts to help you understand the subject better. You will be walked through various topics stretching from introduction to Hive and then will walk you through concepts like its partition. The course will also demonstrate to you two case studies for your better understanding. Hive has a similar syntax to MySQL database and can perform operations such as reading, writing, and managing big data tables and storing them in HDFS or any other data sources. However, Hive cannot perform insert, delete, and update operations.
Course Outline
Hive is a data warehouse used to support interaction between the user and HDFS. This course will give you a demonstration using sample problem statements for your better understanding.
Partitioning in Hive is a process of segregating the data in the table using values such as date, department and city in the columns.
This section demonstrates Analyzing NASA WebServer logs with Apache Hive for your understanding.
This section demonstrates to you the query processing and analyzing using different models and objects in Hive.
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Frequently Asked Questions
What is HQL?
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.
What are the differences between HQL and SQL?
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.
How do I learn HiveQL?
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.
How do I run Hive commands online?
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}
What are partitions in Hive?
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.
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Hive: Hands On Course
Hive is a popular data warehousing and SQL-like query language for Apache Hadoop, providing a high-level interface for performing data analysis and manipulation on large datasets stored in Hadoop Distributed File System (HDFS).
The free course on Hive: Hands on is designed to give you a practical, hands-on understanding of Hive and its capabilities. You'll start with an introduction to Hive, including its architecture and the various components that make up Hive.
One of the key focuses of the course will be on partitions in Hive, including the different types of partitions and how they can be used to improve the performance and scalability of Hive queries. You'll also have the opportunity to work with real-world case studies, using Hive to perform data analysis and manipulation on real datasets.
Whether you're a beginner or an experienced data professional, this course will help you gain a deeper understanding of Hive and its capabilities. With its focus on hands-on learning, you'll be able to immediately apply what you've learned to real-world problems and make a real impact in your work.
In conclusion, the free course on Hive: Hands on is an excellent resource for anyone looking to gain a practical, hands-on understanding of Hive and big data processing. Don't miss this opportunity to expand your skill set and advance your career.