Introduction to Apache Hive
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About this course
This is an introductory course on one of the most used tools in big data - Apache Hive, an ETL(Extraction, Transformation, and Loading) tool, and data warehouse infrastructure software that can create interaction between users and Hadoop Distributed File System (HDFS). The course starts with the introduction to Hive before progressing to the following topics, which utilize a hands-on approach to explain. You will learn internal and external table structures, reading data from different formats into Hive structure. With the help of an easy and intuitive explanation, you will get a good grasp of how to load data into Hive, querying techniques, and generate views in Hive tables.
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Course Outline
The internal table gets created by default in a specific location in Apache Hive when the user does not specify it as external, with the path similar to /user/hive/warehouse directory of HDFS.
Text files, SequenceFile, RCFile, Avro files. ORC files, Parquet, Custom INPUT FORMAT, and OUTPUT FORMAT are the different file formats supported by Apache Hive.
Start Hadoop Daemon, launch hive terminal hive, write commands and insert query. You will then be able to load data into hive tables.
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Frequently Asked Questions
What is Apache Hive used for?
Apache Hive is used for reading, writing, and managing large data set files stored directly in HDFS or any other data storage systems such as Apache HBase.
Is Apache Hive a database?
Apache Hive is an open-source data warehouse software.
Who uses Apache Hive?
Data Analysts, Researchers, and Programmers use Apache Hive to read, write, and manage large data sets.
Can hive run without Hadoop?
No, Hive needs Hadoop for its functioning.
What is the difference between Hadoop and Hive?
Hadoop is a framework or software for storing, processing and managing huge data sets. On the other hand, Hive is an SQL based tool that processes data by building over Hadoop.
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Apache Hive Course
Apache Hive is a data warehousing and SQL-like query language for Apache Hadoop that 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 Introduction to Apache Hive is designed to give you a comprehensive overview of Hive and its capabilities. You'll start with the basics, including an introduction to Hive, its architecture, and the various components that make up Hive.
You'll learn about internal tables, including how to create and manage them, and how to load different file formats into Hive, including CSV, JSON, and Parquet. You'll also learn about query operations on Hive tables, including filtering, aggregation, and grouping, as well as how to query complex structures from a table, such as arrays and maps.
One of the main benefits of Hive is its ability to help businesses handle large amounts of data and make data-driven decisions. With Hive, you can easily analyze large datasets, gain insights into your data, and make informed decisions based on your data analysis. Whether you're a data analyst, data scientist, or business analyst, Hive is a powerful tool for helping you make sense of your data and make better decisions.
In conclusion, the free course on Introduction to Apache Hive is an excellent resource for anyone looking to gain a comprehensive understanding of Hive and its capabilities. Whether you're a beginner or an experienced data professional, this course will help you expand your skill set and advance your career in big data processing and analysis.