Hive Basics
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About this course
Hive is a data warehouse infrastructure used to process the structured data in Hadoop. It is an open-sourse software project that is built on top of Apache Hadoop to provide data queries and analysis. It provides an SQL-like interface to query data stored in different databases and files systems integrated with Hadoop. Apache Hive runs SQL-like queries called HQL (Hive Query Language), which gets internally converted to map-reduce jobs and also provides SQL abstraction to integrate SQL-like queries (HiveQL) to Java without the necessity to implement queries in low-level Java API. Hive provides support for Data Definition Language, Data Manipulation Language, and User-Defined Functions.
In this course, Hive Basics, you will be walked across various topics covering all the essential concepts such as what Hive is, why and how to use Hive, its features and properties, architecture, and much more to help you understand the concepts with ease.
Course Outline
Hive is an open-source tool established on top of Apache Hadoop to process structured data in Hadoop. It is a data warehouse infrastructure that supports data querying and analyzing.
Hive segregates the database servers based on the storage schema or Metadata of tables, databases, columns, data types, and HDFS mapping of tables. It is a replacement of the traditional method of the MapReduce program.
Hive properties includes query execution, metastore, indexing, statistics, authentication, authorization, and other which you will understand in depth in this section.
Hive Client Security, Hive Metastore Security are other properties of Hive which again, you will be learning further in this section.
Hive is a Hadoop Stack Component and a data warehouse infrastructure software used to interact between the user and HDFS.
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Frequently Asked Questions
How do I start learning Hive?
If you are a beginner to Apache Hive, then you will have to start with understanding queries; being able to write structured queries is the fundamental requirement in Apache Hive. You will also have to understand database concepts in SQL, Linux, Hadoop file systems, and Java. With these concepts well understood, you will be able to crack Hive well.
What are Hive commands?
Hive commands are data warehouse infrastructure tools built on top of Hadoop to define Big Data. They are also called schema on reading. It verifies the data when the query is issued,and not when it is loaded. Different Hive commands are Data Definition Language (DDL), Data Manipulation Language (DML), Grouping, and Joins.
Is Hive hard to learn?
If you are new to database concepts in SQL, Linux, Hadoop file systems and Java, then it will take a while to learn Apache Hive, or otherwise, it is straightforward and easy to learn the tool.
What is Hive-level language?
Apache Hive gives an SQL dialect called HiveQL (Hive Query Language or HQL), which is used to query data stored in Hadoop clusters. However, SQL knowledge proves helpful; it is a practical, intuitive model used to organize and use data.
What is Hive vs. Spark?
Hive and Spark are both popular tools used in big data. Hive is, however, considered the better choice to perform data analysis on vast amounts of data using SQL. Spark is a tool that is best used for running big data analytics, providing a faster, modern alternative to MapReduce.
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Hive Basics Course
Hive is a popular data warehousing and SQL-like query language for Apache Hadoop. It provides 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 Basics will provide you with an in-depth introduction to Hive, including its architecture and the various components that make up Hive. You'll learn about the purpose of Hive, what it does, and how it works, as well as the different properties that are used in Hive to control its behavior.
You'll also learn about the Hive query language, including its basic syntax and the different functions and operations that can be performed using Hive. With a focus on hands-on learning, the course will provide you with the opportunity to practice using Hive to perform data analysis and manipulation on real-world 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 Basics is an excellent resource for anyone looking to gain a solid foundation in Hive and big data processing. Don't miss this opportunity to expand your skill set and advance your career.