Writing Complex Analytical Queries with Hive from Pluralsight

Hive is a data warehouse that runs on top of the Hadoop distributed computing framework. It works on huge datasets, so this course is useful for understanding its features so you can write efficient, fast, and optimal queries.

The Hive data warehouse supports analytical processing, it generally processes long-running jobs which crunch a huge amount of data. By understanding what goes on behind the scenes in Hive, you can structure your Hive queries to be optimal and performant, thus making your data analysis very efficient. In this course, Writing Complex Analytical Queries with Hive, you'll discover how to make design decisions and how to lay out data in your Hive tables. First, you'll dive into partitioning and bucketing, which are ways to reduce the data a query has to process. You'll cover how and when you use partitioning, bucketing, or both when you set up your tables. Next, you'll be introduced to the joins operation, along with covering how to deal with large tables, and run and optimize map-only joins. Lastly, you'll learn windowing functions, which allow you to write complex queries simply and easily with no intermediate tables. An important optimization with large datasets. By the end of this course, you'll develop an understanding for the little details that makes writing complex queries easier and faster.

Hive is a data warehouse, which works on huge datasets, which means any query that you run on Hive is likely to be slow and long running without the tips and tricks in this course.

This course helps you make design decisions on how to layout data in your Hive tables, partitioning and bucketing are ways to reduce the data your query has to process, understand how and when you would use partitioning, bucketing or both.

This course assumes that you have some familiarity with Hive and writing queries for it.

You should have Hive v2 which runs on top of Hadoop 2, and have the Beeline command interface to connect to Hive locally.

What's inside

Syllabus

Course Overview

Using Hive for Analytical Queries

Partitioning Tables for Faster Queries

Bucketing Columns for Faster Joins

Optimizing Hive Joins

Windowing Functions

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches Hive querying tools that efficiently process large datasets

Helps learners optimize Hive queries for better performance

Suitable for learners familiar with Hive and query writing

Requires Hive v2 and Beeline command interface for local Hive connection

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Writing Complex Analytical Queries with Hive with these activities:

Brush Up On SQL

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Recall the basics of SQL to prepare for complex querying with Hive.

Browse courses on SQL

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Review key concepts of SQL, such as data types, tables, and queries.
Practice writing basic SQL queries to retrieve and manipulate data.

Organize and Review Course Materials

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Maintain an organized repository of notes, slides, assignments, and quizzes for easy reference and review.

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Create a central folder or notebook for all course materials.
Regularly add and organize materials as they become available.
Review the materials periodically to reinforce understanding and identify areas for further study.

Follow Online Tutorials on Hive Partitioning

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Enhance your understanding of Hive partitioning techniques to optimize query performance.

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Identify online resources or tutorials that cover Hive partitioning.
Follow along with the tutorials, practicing the steps and experimenting with different partitioning options.
Apply the techniques to your own Hive data sets to gain practical experience.

Three other activities

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Participate in a Hive Study Group

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Collaborate with peers to share knowledge, discuss concepts, and tackle Hive challenges together.

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Identify or create a study group with other Hive learners.
Set regular meeting times and establish a clear agenda.
Take turns presenting topics, leading discussions, and solving problems.
Provide feedback, support, and encouragement to each other.

Solve Hive Query Optimization Exercises

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Test your ability to identify and apply query optimization techniques in Hive.

Browse courses on Query Optimization

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Find online resources or platforms that provide Hive query optimization exercises.
Attempt the exercises, analyzing the queries and identifying potential optimizations.
Implement the optimizations and evaluate the performance improvements.
Discuss the results with peers or mentors to gain insights and improve your understanding.

Develop a Hive Data Model for a Real-World Dataset

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Gain practical experience in designing and implementing a Hive data model for a specific business problem.

Browse courses on Data Modeling

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Identify a real-world dataset that you are interested in.
Analyze the dataset and determine the appropriate data structures and partitioning scheme for Hive.
Create the Hive data model using HiveQL.
Load the dataset into Hive and test the performance of your data model.
Document your data model and share it with others.

Career center

Learners who complete Writing Complex Analytical Queries with Hive will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their skills in math, statistics, and computer science to solve business problems. They use data to build models that can predict future events or identify trends. This course can help you develop the skills you need to succeed as a Data Scientist. You will learn how to write efficient Hive queries, which is a valuable skill for Data Scientists who need to work with large datasets.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts help businesses make informed decisions by analyzing data. They use their skills in programming, statistics, and data visualization to find patterns and trends in data. This course can help you develop the skills you need to succeed as a Data Analyst. You will learn how to write efficient Hive queries, which is a valuable skill for Data Analysts who need to work with large datasets.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators are responsible for managing and maintaining databases. They ensure that databases are running smoothly and that data is safe and secure. This course can help you develop the skills you need to succeed as a Database Administrator. You will learn how to write efficient Hive queries, which is a valuable skill for Database Administrators who need to work with large datasets.

See salaries and explore the career path for Database Administrator

Software Engineer

Software Engineers design, develop, and maintain software systems. They use their skills in programming, mathematics, and computer science to create software that meets the needs of users. This course can help you develop the skills you need to succeed as a Software Engineer. You will learn how to write efficient Hive queries, which is a valuable skill for Software Engineers who need to work with large datasets.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts help businesses make informed decisions by analyzing data. They use their skills in business, statistics, and data visualization to find patterns and trends in data. This course can help you develop the skills you need to succeed as a Business Analyst. You will learn how to write efficient Hive queries, which is a valuable skill for Business Analysts who need to work with large datasets.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts help businesses make informed decisions about their finances. They use their skills in finance, accounting, and data analysis to evaluate financial data and make recommendations. This course can help you develop the skills you need to succeed as a Financial Analyst. You will learn how to write efficient Hive queries, which is a valuable skill for Financial Analysts who need to work with large datasets.

See salaries and explore the career path for Financial Analyst

Market Researcher

Market Researchers help businesses understand their customers and markets. They use their skills in research, statistics, and data analysis to collect and analyze data about customers and markets. This course can help you develop the skills you need to succeed as a Market Researcher. You will learn how to write efficient Hive queries, which is a valuable skill for Market Researchers who need to work with large datasets.

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Operations Research Analyst

Operations Research Analysts use their skills in mathematics, statistics, and computer science to solve business problems. They use data to build models that can help businesses optimize their operations. This course can help you develop the skills you need to succeed as an Operations Research Analyst. You will learn how to write efficient Hive queries, which is a valuable skill for Operations Research Analysts who need to work with large datasets.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

Quantitative Analysts use their skills in mathematics, statistics, and computer science to solve financial problems. They use data to build models that can help businesses make informed decisions about their investments. This course can help you develop the skills you need to succeed as a Quantitative Analyst. You will learn how to write efficient Hive queries, which is a valuable skill for Quantitative Analysts who need to work with large datasets.

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Risk Analyst

Risk Analysts help businesses identify and manage risks. They use their skills in finance, accounting, and data analysis to evaluate risks and make recommendations. This course can help you develop the skills you need to succeed as a Risk Analyst. You will learn how to write efficient Hive queries, which is a valuable skill for Risk Analysts who need to work with large datasets.

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Statistician

Statisticians collect, analyze, and interpret data. They use their skills in mathematics, statistics, and computer science to solve problems and make informed decisions. This course can help you develop the skills you need to succeed as a Statistician. You will learn how to write efficient Hive queries, which is a valuable skill for Statisticians who need to work with large datasets.

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Data Engineer

Data Engineers design, build, and maintain data pipelines. They use their skills in software engineering, data science, and data management to ensure that data is flowing smoothly and efficiently. This course can help you develop the skills you need to succeed as a Data Engineer. You will learn how to write efficient Hive queries, which is a valuable skill for Data Engineers who need to work with large datasets.

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Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They use their skills in machine learning, data science, and software engineering to create models that can solve complex problems. This course can help you develop the skills you need to succeed as a Machine Learning Engineer. You will learn how to write efficient Hive queries, which is a valuable skill for Machine Learning Engineers who need to work with large datasets.

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Data Architect

Data Architects design and manage data architectures. They use their skills in data management, data science, and software engineering to create data architectures that meet the needs of businesses. This course can help you develop the skills you need to succeed as a Data Architect. You will learn how to write efficient Hive queries, which is a valuable skill for Data Architects who need to work with large datasets.

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Database Manager

Database Managers are responsible for managing and maintaining databases. They ensure that databases are running smoothly and that data is safe and secure. This course can help you develop the skills you need to succeed as a Database Manager. You will learn how to write efficient Hive queries, which is a valuable skill for Database Managers who need to work with large datasets.

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Writing Complex Analytical Queries with Hive

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