Learning Apache Hadoop EcoSystem- Hive from Udemy

This is Course was Created 4 years back. New tutorials will be added based on requirements.

This tutorial starts with understanding need for hive Architecture and different configuration parameters in Hive. During this course you will learn different aspects of Hive and how it fits as datawarehousing patform on Hadoop. Please subscribe to my Youtube Channel "Hadooparch" for more details.

This Course covers Hive, the SQL of Hadoop.(HQL) We will learn why and How Hive is installed and configured on Hadoop. We will cover the components and architecture of Hive to see how it stores data in table like structures over HDFS data. Understabd architecture, installation and configuration of Hive. We will install and configure Hive server2 and replace postgresql database with mysql. we will also learn how to install mysql and configure it as Hive Metastore

This Course is full of Hive demonstrations. We'll cover how to create Databases, understand data types, create external, internal, and partitioned hive tables, bucketing load data from the local filesystem as well as the distributed filesystem (HDFS), setup dynamic partitioning, create views, and manage indexes and how different layers work together on Hive.

We will go through different roles in implementing in Real time projects, how projects are set up and permissions, Auditing, Troubleshooting.

Finally I will give sample data and queries to work and replicate what has been taught in Videos.

This Course has multiple questions to test your understanding. Kindly attempt all of them.

What's inside

Learning objectives

Install and work on hive
Troubleshoot hive issues

Partition and bucket data

Install and work on hive
Troubleshoot hive issues
Partition and bucket data

Syllabus

What? Why ? How Hive Works

What is Hive ?

Apache Hive is a popular SQL interface for batch processing on Hadoop. Hadoop was built to organize and store massive amounts of data Hive gives another way to access Data inside the cluster in easy, quick way.

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Explores Apache Hive, a standard in the industry for batch processing data stored in Hadoop

Taught by instructors who demonstrate the course concepts directly in the popular MySQL database

Develops the skills needed to install and use Hive, troubleshoot Hive issues, and partition and bucket data

Covers a range of topics relevant to data processing and data storage, including Hive architecture, Hive installation, and table management

Provides hands-on experience with Hive through demonstrations and projects

May require prior knowledge of SQL and data processing concepts

Reviews summary

Practical introduction to apache hive

according to learners, this course provides a solid foundation in Apache Hive within the Hadoop ecosystem. Many found the practical demonstrations and step-by-step installation guidance particularly helpful for getting hands-on experience. Students appreciated the coverage of installation and configuration, working with databases and tables, and understanding real-time project implementations. While generally positive, some reviewers note that the course material, created several years ago, could benefit from updates to reflect newer versions or best practices, though it still offers valuable core concepts. The quizzes are mentioned as useful for checking understanding.

Connects concepts to real-world projects.

"The section discussing real-time implementations and project roles was very useful for understanding practical applications."

"Understanding potential troubleshooting scenarios for infrastructure and users was a valuable addition."

"Helped me see how Hive is actually used in industry scenarios beyond just the basics."

Covers core Hive concepts and architecture well.

"Gave me a good understanding of how Hive fits into the Hadoop ecosystem and its basic workings."

"The course explained the architecture and different modes very well, which helped build a strong base."

"I now have a solid grasp of Hive fundamentals like internal/external tables, partitions, and bucketing."

Offers helpful hands-on labs and install demos.

"The demos were very clear and helped me follow along with the concepts and see Hive in action."

"The step-by-step installation guidance was particularly helpful for setting up the environment."

"I really appreciated the hands-on examples provided for creating tables, loading data, and running queries."

Some content uses older versions or methods.

"The Hive version used in the demos is older, so I had to adapt some steps to work with current systems."

"Could benefit from updates to cover newer features or reflect changes in the broader big data ecosystem."

"Setting up the environment based on the instructions required slight adjustments for my current OS and software versions."

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 Learning Apache Hadoop EcoSystem- Hive with these activities:

Find a mentor to guide you through the course

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Provides access to guidance and support from an experienced professional in the field, which can accelerate your learning.

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Identify potential mentors
Reach out to them and ask for their guidance

Review Elmasri and Navathe's _Fundamentals of Database Systems_

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Provides a more foundational understanding of database systems, which will complement your learning in this course.

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Read Chapters 2-8
Complete the exercises at the end of each chapter

Review King's _Database Systems: Concepts, Design, and Applications_

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Provides a more comprehensive understanding of how databases are implemented at the physical, logical, and conceptual levels.

View Fundamentals of Database Systems, Global Edition on Amazon

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Read Chapters 1-5
Complete the exercises at the end of each chapter

Three other activities

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Show all six activities

Join a study group to discuss Hive concepts and projects

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Provides a collaborative environment for learning and sharing knowledge with other students, which can enhance your understanding of the material.

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Find a study group or create your own
Meet regularly to discuss Hive concepts, projects, and challenges

Follow tutorials on Hive partitioning

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Provides hands-on experience with partitioning data in Hive, which is a key technique for optimizing query performance.

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Find tutorials on Hive partitioning
Follow the tutorials and implement partitioning in your own Hive environment

Contribute to the Apache Hive project

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Provides an opportunity to gain practical experience with the inner workings of Hive and contribute to the open source community.

Browse courses on Apache Hive

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Identify an area to contribute to
Submit a pull request to the Hive project
Engage with the Hive community to get feedback and support

Career center

Learners who complete Learning Apache Hadoop EcoSystem- Hive will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use SQL to perform complex queries on large datasets. They use the data they glean to provide valuable insights to their companies that can improve business performance. This course covers various facets of Apache Hive, which is a SQL interface for Hadoop that is often used for large scale data analysis. This course may be helpful to those who wish to work as a Data Analyst because they will learn about how to install and configure Hive, as well as how to use it to perform common tasks like creating tables, loading data, and running queries.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure that data analysts use to perform their jobs. They work with large datasets and ensure that they are stored and processed in a way that makes them easy to analyze. This course covers the installation and configuration of Apache Hive, which is a popular tool for working with big data. This course may be helpful for those who wish to work as a Data Engineer because it will give them the skills they need to set up and manage a Hadoop cluster.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists use their knowledge of statistics and computer science to extract insights from data. They use this data to solve problems and make predictions. This course covers the use of Apache Hive, which is a SQL interface for Hadoop that is often used for large scale data analysis. This course may be helpful to those who wish to work as a Data Scientist because it will give them the skills they need to work with big data.

See salaries and explore the career path for Data Scientist

Database Administrator

Database Administrators are responsible for the installation, configuration, and maintenance of databases. They work with all types of databases, from small, single-server databases to large, enterprise-wide databases. This course covers the installation and configuration of Apache Hive, which is a SQL interface for Hadoop that is often used for large scale data analysis. This course may be helpful for those who wish to work as a Database Administrator because it will give them the skills they need to work with big data.

See salaries and explore the career path for Database Administrator

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with all types of software, from small, single-user applications to large, enterprise-wide applications. This course covers the use of Apache Hive, which is a SQL interface for Hadoop that is often used for large scale data analysis. This course may be helpful for those who wish to work as a Software Engineer because it will give them the skills they need to work with big data.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts use their knowledge of business and technology to help organizations make better decisions. They work with all types of businesses, from small, family-owned businesses to large, multinational corporations. This course covers the use of Apache Hive, which is a SQL interface for Hadoop that is often used for large scale data analysis. This course may be helpful for those who wish to work as a Business Analyst because it will give them the skills they need to work with big data.

See salaries and explore the career path for Business Analyst

Project Manager

Project Managers are responsible for planning, executing, and closing projects. They work with all types of projects, from small, one-person projects to large, multi-year projects. This course covers the use of Apache Hive, which is a SQL interface for Hadoop that is often used for large scale data analysis. This course may be helpful for those who wish to work as a Project Manager because it will give them the skills they need to work with big data.

See salaries and explore the career path for Project Manager

Data Architect

Data Architects design and build the data infrastructure that organizations use to store and manage their data. They work with all types of data, from structured data to unstructured data. This course covers the use of Apache Hive, which is a SQL interface for Hadoop that is often used for large scale data analysis. This course may be helpful for those who wish to work as a Data Architect because it will give them the skills they need to work with big data.

See salaries and explore the career path for Data Architect

Hadoop Developer

Hadoop Developers are responsible for developing and maintaining Hadoop applications. They work with all types of Hadoop applications, from simple data processing applications to complex machine learning applications. This course covers the installation and configuration of Apache Hive, which is a SQL interface for Hadoop that is often used for large scale data analysis. This course may be helpful for those who wish to work as a Hadoop Developer because it will give them the skills they need to work with big data.

See salaries and explore the career path for Hadoop Developer

Big Data Architect

Big Data Architects design and build the data infrastructure that organizations use to store and manage their big data. They work with all types of big data, from structured data to unstructured data. This course covers the use of Apache Hive, which is a SQL interface for Hadoop that is often used for large scale data analysis. This course may be helpful for those who wish to work as a Big Data Architect because it will give them the skills they need to work with big data.

See salaries and explore the career path for Big Data Architect

Data Warehouse Architect

Data Warehouse Architects design and build the data warehouses that organizations use to store and manage their data. They work with all types of data, from structured data to unstructured data. This course covers the use of Apache Hive, which is a SQL interface for Hadoop that is often used for large scale data analysis. This course may be helpful for those who wish to work as a Data Warehouse Architect because it will give them the skills they need to work with big data.

See salaries and explore the career path for Data Warehouse Architect