Data Analysis with Apache Hive
IntermediateLevel
2 Hrs Duration
About this Course
- This course introduces Apache Hive, a data warehouse system built on Hadoop, enabling efficient querying of large datasets using a familiar SQL-like interface.
- Learn to create and manage Hive databases, work with internal and external tables, and connect Hive to real-world data sources for seamless data handling.
- Gain practical skills in writing HiveQL queries to perform data filtering, grouping, sorting, and analysis on distributed data systems.
Learning Outcomes
Hive Fundamentals
Understand Hive’s role, features, and use in Hadoop systems
Data Handling in Hive
Create, manage Hive tables and link to external data sources.
HiveQL Query Skills
Write effective HiveQL queries to analyze and process large datasets.
Who Should Enroll
- Students keen to learn big data tools and build a strong base in SQL-like querying with Apache Hive.
- Aspiring data analysts looking to handle large datasets using Hive in distributed systems like Hadoop.
- BI professionals and engineers wanting efficient querying skills for big data in Hive-based environments.
Course Curriculum
Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.
1. What is Hive
2. Features of Hive
3. Working of Hive
4. Itversity Credentials
1. Module Overview
2. Connecting to Hive
3. Creating Database
4. Hive Data Types
5. File Encoding of Data Values
6. Creating Tables in Hive
7. Loading data in Hive Tables
8. Managed vs External Tables
9. Creating External Table
10. Creating Tables from existing tables
11. Dropping Tables
12. Altering Tables
1. Module Overview
2. Reading Records in Hive
3. Filtering Data in Hive
4. Grouping Data in Hive
5. Ordering Records in Hive
6. ORDER BY vs SORT BY
7. Distributing Data in Hive
8. Built-in Functions in Hive
Get this Course Now
With this course you’ll get
- 2 Hours
Duration
- Kunal Jain
Instructor
- Intermediate
Level
Certificate of completion
Earn a professional certificate upon course completion
- Globally recognized certificate
- Verifiable online credential
- Enhances professional credibility
Frequently Asked Questions
Looking for answers to other questions?
Apache Hive is a data warehouse infrastructure built on top of Hadoop that allows users to query and manage large datasets using Hive, a SQL-like language
In a managed table, Hive controls both the table metadata and the data itself. Dropping the table deletes the data. In an external table, Hive only manages metadata, and the data remains intact even after the table is dropped
Hive stores metadata in a metastore and processes data using Hadoop MapReduce or Tez/Spark engines, converting HiveQL queries into corresponding execution plans.
Hive supports various file formats including TextFile, SequenceFile, ORC, Parquet, and Avro, allowing flexibility in storing and querying structured data efficiently.
Yes, you will receive a certificate of completion after successfully finishing the course and assessments.
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