Master Apache Hive: Data Warehousing & Big Data Analytics

What you will learn:

Apache Hive fundamentals and advanced techniques
Data warehousing concepts and best practices
SQL query optimization for large datasets
Big data analytics using Apache Hive
Hands-on experience with real-world projects
Installation and configuration of Hive on various systems
Working with different data formats (including XML and JSON)
Mastering Hive's DDL and DML commands
Proficiently using Hive functions and operators
Preparation for data engineer job interviews

Description

Unlock the power of big data with our comprehensive Apache Hive course! Designed for data engineers and analysts, this practical course teaches you to efficiently manage and analyze massive datasets using SQL-like queries. Learn to build robust data warehouses, optimize query performance, and extract actionable insights from your data.

This hands-on course covers Apache Hive's architecture, installation (on both Linux and Windows using Docker), data modeling, data types, DDL & DML commands, built-in functions, various join techniques, and advanced topics like working with XML and JSON data. We'll delve into crucial concepts including partitions and bucketing, and equip you with the skills to handle real-world challenges.

Two comprehensive, real-world projects provide practical application of learned concepts. You'll gain experience in configuring Hive environments, writing high-performance queries, and generating insightful reports that drive strategic business decisions. This course also addresses frequently asked interview questions, preparing you for success in your career.

Master Hive's capabilities with Apache Hadoop, HDFS, HBase, Tez, and Spark. Learn to leverage Hive's SQL capabilities, including many features from SQL:2003, SQL:2011, and SQL:2016, and extend its functionality with user-defined functions (UDFs), user-defined aggregates (UDAFs), and user-defined table functions (UDTFs).

Whether you're a data analyst, data engineer, or business professional, this course will transform your data analysis skills. Gain a competitive edge by mastering one of the most powerful tools in the Hadoop ecosystem. Enroll today and embark on your journey to becoming a proficient Apache Hive expert!

Curriculum

Introduction

This section lays the foundation, starting with course and Apache Hive introductions. It covers Hive's architecture, query flow, and tips for successful course completion. Optional introductory material on big data and Hadoop is included for those needing a refresher or new to the concepts. Lectures also cover Hive's features and limitations.

Installing Apache Hive on Ubuntu (Linux) Machine

Learn the step-by-step process of installing Hadoop and Apache Hive on an Ubuntu Linux machine. This section provides practical guidance to set up your environment.

Installing Apache Hive on Windows Machine using Docker Desktop

This section details setting up Apache Hive on a Windows machine using Docker Desktop. It guides you through installing Docker, downloading the Hive image, and running Hive within the Docker environment.

Hive Data Model

Understand Hive's data model, encompassing tables, partitions, and buckets (or clusters). The lectures provide clear diagrams and explanations to solidify your understanding of data organization within Hive.

Hive Data Types

This section covers Hive's data types, including primitive and complex types. You'll learn how to define and use these types effectively in your Hive tables and queries.

HIVE Data Definition Language (DDL)

Master the DDL commands in Hive, such as creating, altering, and dropping databases and tables. Hands-on exercises cover creating tables with various data types, exploring managed and external tables, different storage formats, and using commands to describe and show table details.

HIVE Data Manipulation Language (DML)

Learn how to manipulate data using Hive's DML: LOAD, SELECT, INSERT, UPDATE, and DELETE. This section provides detailed explanations and practical examples of each command.

Hive Built-In Functions

Explore Hive's extensive library of built-in functions, covering date, mathematical, and string functions. Each function's usage and practical applications are demonstrated through examples.

Hive View, Metastore, Partitions, and Bucketing

This section dives into advanced concepts such as creating and using views, understanding the Hive metastore, and effectively employing partitions and bucketing to improve query performance. Hands-on exercises reinforce these concepts.

Built-in Operators

Gain proficiency in using Hive's built-in operators including relational, arithmetic, logical, and string operators. Learn how to combine them in your queries for more complex data manipulation.

Hive Join

Learn how to perform various types of joins (inner, left outer, right outer, and full outer) in Hive, with hands-on exercises to solidify understanding.

Working with XML and JSON

This section covers advanced techniques for working with semi-structured data in XML and JSON formats within Hive.

Frequently Asked Interview Question and Answers

Prepare for job interviews with this section focusing on common Apache Hive interview questions, providing you with expert answers and insights.

Hands On Projects (2 Projects)

Apply your knowledge through two complete hands-on projects using Apache Zeppelin. You'll work through all stages of these projects, starting with setup and configuration, all the way to detailed analysis and reporting. The projects cover data loading, manipulation, query optimization and reporting, building your practical skills and confidence.