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Hive Basics
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Instructor:
Mr. Raghu Raman A VAbout 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
What is Hive?
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 Architecture
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: Part - 1
Hive properties includes query execution, metastore, indexing, statistics, authentication, authorization, and other which you will understand in depth in this section.
Hive Properties: Part - 2
Hive Client Security, Hive Metastore Security are other properties of Hive which again, you will be learning further in this section.
Introduction to Hive Basics
Hive is a Hadoop Stack Component and a data warehouse infrastructure software used to interact between the user and HDFS.
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Skill & tools
63% of learners found all the desired skills & tools
Our course instructor
Mr. Raghu Raman A V
Adjunct Faculty (Big Data, Machine Learning and AWS)
Big Data Expert
Raghu is a Big Data and AWS expert with over a decade of training and consulting experience in AWS, Apache Hadoop Ecosystem including Apache Spark.
He has worked with global customers like IBM, Capgemini, HCL, Wipro to name a few as well as Bay Area startups in the US.
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
Will I get a certificate after completing this Hive Basics free course?
Yes, you will get a certificate of completion for Hive Basics after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
How much does this Hive Basics course cost?
It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Hive can get started with this course.
Is there any limit on how many times I can take this free course?
Once you enroll in the Hive Basics course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
Can I sign up for multiple courses from Great Learning Academy at the same time?
Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.
Why choose Great Learning Academy for this free Hive Basics course?
Great Learning Academy provides this Hive Basics 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.
What are the steps to enroll in this Hive Basics course?
Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
Will I have lifetime access to this free Hive Basics course?
Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.
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.