Unlock the Power of Apache Hive: Hands-On Projects Await!

Are you a data engineer, data analyst, or big data enthusiast eager to excel in Apache Hive? This comprehensive course, “Apache Hive for Data Engineers (Hands-On) with 2 Projects,” is meticulously crafted to guide you from the fundamentals of Hive to advanced techniques and real-world project applications.

In this course, you will explore why Hive is an indispensable tool in the Hadoop ecosystem, enabling professionals to manage and analyze vast datasets using a familiar SQL-like syntax (HiveQL). As data generation accelerates, acquiring Hive skills is crucial for anyone venturing into Big Data and Data Engineering fields.

By participating in hands-on projects such as Web Server Log Analytics and Olympic Analytics, you will not only absorb theoretical concepts but also put your knowledge to work. You’ll gain valuable insights into data ingestion, parsing, unearthing critical data points, and creating insightful reports. By the course’s end, you will be well-prepared to tackle real-world challenges in data engineering with confidence.

What you will learn:

• Understand Hive architecture and how queries are executed in a distributed environment.
• Install Hive on both Linux (Ubuntu) and Windows (using Docker Desktop) with step-by-step guidance.
• Learn the Hive Data Model: Tables, Partitions, and Bucketing.
• Work with Hive Data Types (Primitive & Complex).
• Master Hive DDL (Data Definition Language) and DML (Data Manipulation Language).
• Perform data loading, insertion, updates, and deletes in Hive tables.
• Use Hive built-in functions (date, math, string, tokenizing, and aggregation functions).
• Work with Views, Metastore, Partitions, and Bucketing effectively.
• Master Joins in Hive (Inner, Left, Right, and Full Outer Joins).
• Handle XML and JSON data in Hive.
• Learn how to improve performance using ORC file format, bucketing, partitioning, and CBO (Cost-Based Optimization).
• Understand Hive limitations and when to use Hive vs. other big data tools.
• Prepare for interviews with commonly asked Hive interview questions & answers.
• Use Apache Zeppelin as a visualization and query execution tool with Hive.
• Build two end-to-end projects to apply everything you’ve learned.

Course Content:

• Sections: 15
• Lectures: 143
• Duration: 9h 34m

Requirements:

• Basic Knowledge of Hadoop
• Basic Knowledge of SQL and Database
• Desktop or Laptop with Ubuntu Operating System and Minimum 8 GB RAM is recommended
• Knowledge of Regular Expression is necessary

Who is it for?

• Data Engineers looking to strengthen their Hive skills.
• Big Data Developers working with Hadoop ecosystem.
• SQL Developers who want to transition into Big Data.
• Data Analysts who want to work with large-scale distributed data.
• Students & Beginners interested in learning Hive from scratch with hands-on projects.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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