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Apache Hive Basic to advance all in one 2024

Learn Big Data with Hive! Master Hive for projects & ace interviews. Gain practical skills in data warehousing & analysis.

4.1(31)
178students
4h 12m
Certificate
Anshul Jain
Anshul JainSenior Big Data Engineer

Course Content

Apache Hive Basic to advance all in one 2024 is an all-levels Udemy course taught by Anshul Jain. It runs 4h 12m, is taught in English, and includes a certificate of completion. Learners rate it 4.1 out of 5 from 31 reviews, with 178 students enrolled. It is a paid course, last updated August 2025.

Apache Hive: Master Data Processing on Hadoop

Unlock the power of big data with Apache Hive, a crucial data processing tool built on the Hadoop ecosystem. This course provides comprehensive knowledge of Hive, a powerful querying tool designed for HDFS, with a syntax remarkably similar to SQL, making it accessible for those familiar with traditional database concepts. As an open-source software, Hive empowers programmers to efficiently analyze massive datasets stored on Hadoop.

What You'll Learn:

  • Comprehensive Hive Knowledge: Gain end-to-end expertise, covering both basic and advanced Hive concepts, along with frequently asked interview questions and real-world use cases. This course delves into rarely covered details, offering a depth of understanding not readily available online.
  • Step-by-Step Learning Path: Journey from fundamental Hive principles to advanced techniques used in real-time projects, leveraging the latest Hive version 3.x.
  • Hive Setup: Learn how to properly set up your Hive environment.
  • File Formats: Understand and utilize various file formats supported by Hive.
  • Data Organization: Master Partitioning and Bucketing techniques for optimized data management.
  • Data Manipulation: Explore Joins to combine data from multiple tables effectively.
  • Code Review: Benefit from expert-led Hive code reviews and interactive demonstrations.
  • HQL Clauses: Deep dive into powerful HQL clauses like DISTRIBUTE BY, ORDER BY, CLUSTERED BY, and SORT BY.
  • Window Functions: Utilize window functions such as RANK, ROW_NUMBER, and DENSE_RANK through interactive demos.
  • Materialized Views: Discover and implement Materialized Views, a key advanced feature in Hive.
  • ACID Properties: Understand and apply ACID properties for reliable data modification (update, delete, merge) in Hive tables.
  • CRUD Operations: Learn various methods for Create, Read, Update, and Delete (CRUD) operations in Hive tables.
  • Partition Exchange: Effectively exchange partitions between tables.
  • Performance Optimization: Discover performance techniques employed by large companies to accelerate data querying.

This course is a complete package, covering even the most obscure Hive commands and concepts. Upon completion, you'll possess a thorough understanding of Hive, leaving no topic unexplored. The curriculum is designed with real-world Hive implementation in live projects in mind.

Bonus: Download the Step-by-Step Installation Guide (doc) to easily install Hadoop and Apache Hive.

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