Data Transformations with Apache Pig from Pluralsight

Pig is an open source engine for executing parallelized data transformations which run on Hadoop. This course shows you how Pig can help you work on incomplete data with an inconsistent schema, or perhaps no schema at all.

Pig is an open source software which is part of the Hadoop eco-system of technologies. Pig is great at working with data which are beyond traditional data warehouses. It can deal well with missing, incomplete, and inconsistent data having no schema. In this course, Data Transformations with Apache Pig, you'll learn about data transformations with Apache. First, you'll start with the very basics which will show you how to get Pig installed and get started working with the Grunt shell. Next, you'll discover how to load data into relations in Pig and store transformed results to files via load and store commands. Then, you'll work on a real world dataset where you analyze accidents in NYC using collision data from the City of New York. Finally, you'll explore advanced constructs such as the nested foreach and also gives you a brief glimpse into the world of MapReduce and shows you how easy it is to implement this construct in Pig. By the end of this course, you'll have a better understanding of data transformations with Apache Pig.

What's inside

Syllabus

Course Overview

Introducing Pig

Using the GRUNT Shell

Loading Data into Relations

Working with Basic Data Transformations

Working with Advanced Data Transformations

Executing MapReduce Using Pig

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores parallelized data transformations, which is a valuable area of study for data analysts

Examines data transformations with Apache Pig, which is a widely used open-source tool in the Hadoop ecosystem

Suitable for beginners, as it introduces the basics of Pig and the Grunt shell

Provides hands-on experience through a real-world dataset of collision data from New York City, making the learning process more engaging

Emphasizes practical applications, such as working with incomplete and inconsistent data, which is a common challenge in real-world data analysis

Instructed by Janani Ravi, who has expertise in data science and software engineering

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 Data Transformations with Apache Pig with these activities:

Compile a collection of resources on Pig.

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Creating a compilation of resources will help you organize and review the materials you need to succeed in this course.

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Find resources on Pig, such as articles, blog posts, and videos.
Organize the resources into a collection.
Review the collection regularly.

Practice writing Pig scripts that perform basic data transformations.

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Practice writing scripts to reinforce your understanding of basic data transformations in Pig.

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Find a dataset that you can use to practice with.
Write a Pig script that loads the dataset into a relation.
Write a Pig script that filters the data in the relation.
Write a Pig script that joins two relations.
Write a Pig script that groups the data in the relation.

Follow a tutorial on how to use Pig to analyze real-world data.

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Following a tutorial will help familiarize you with practical applications of Pig.

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Find a tutorial that uses Pig to analyze real-world data.
Follow the steps in the tutorial.
Answer the questions in the tutorial.
Write a summary of what you learned from the tutorial.

Five other activities

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Attend a meetup or conference focused on Pig or Hadoop.

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Attending a networking event will give you the opportunity to learn from others and share your knowledge.

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Find a meetup or conference focused on Pig or Hadoop.
Attend the event.
Meet and talk to other people who are interested in Pig or Hadoop.

Participate in a workshop on Pig or Hadoop.

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Participating in a workshop will give you the opportunity to learn from experts and get hands-on experience.

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Find a workshop on Pig or Hadoop.
Attend the workshop.
Participate in the activities and discussions.

Work on a project that explains the 'nested foreach' construct.

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By creating a project, you will gain a deeper understanding of this important concept.

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Choose a dataset that you can use to demonstrate the nested foreach construct.
Write a Pig script that uses the nested foreach construct to process the dataset.
Explain how the nested foreach construct works in a blog post or video tutorial.

Create an infographic that explains the key concepts of Pig.

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Creating an infographic will help solidify your understanding of the core concepts.

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Research the key concepts of Pig.
Identify the most important concepts and data to include.
Design and create your infographic using a tool like Canva or Piktochart.
Share your infographic with others online.

Create a data visualization that shows the results of your analysis of the NYC collision data.

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Creating a data visualization will help you communicate your findings in a clear and concise way.

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Choose a data visualization tool.
Load the NYC collision data into the tool.
Create a data visualization that shows the results of your analysis.
Share your data visualization with others.

Career center

Learners who complete Data Transformations with Apache Pig will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data transformation is a core element of a Data Engineer's responsibilities. Pig's ability to facilitate this process makes the Data Transformations with Apache Pig course a great choice for those who want to become a Data Engineer. The course not only teaches foundational concepts such as loading and storing data but also covers advanced operations like nested foreach. These skills will give you a competitive edge in the job market and accelerate your career as a Data Engineer.

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Data Analyst

Data Analysts rely on data transformations to extract meaningful insights from complex datasets. The Data Transformations with Apache Pig course is designed to help you master these techniques. It covers the basics of working with Pig, including loading data and executing basic and advanced transformations. With hands-on exercises, you'll learn how to analyze real-world datasets and solve business problems. Whether you're new to data analytics or looking to advance your skills, this course will provide you with the knowledge and expertise to succeed as a Data Analyst.

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Software Engineer

Software Engineers often leverage data transformations to build scalable and efficient software applications. The Data Transformations with Apache Pig course is a valuable resource for Software Engineers who want to enhance their data handling skills. It provides an in-depth understanding of Pig's architecture and capabilities, enabling you to implement data transformations effectively. The course covers both basic and advanced concepts, making it suitable for engineers of all levels.

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Database Administrator

Database Administrators play a crucial role in managing and maintaining data, often involving data transformations. The Data Transformations with Apache Pig course can help you develop the skills needed to excel as a Database Administrator. It covers the fundamentals of Pig, including data loading and transformation techniques. With practical examples and exercises, you'll learn how to handle complex data and ensure its integrity.

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Data Scientist

Data Scientists utilize data transformations to uncover patterns and insights from large datasets. The Data Transformations with Apache Pig course is an excellent resource for Data Scientists who want to master this essential skill. It provides a comprehensive overview of Pig's capabilities, from basic data manipulation to advanced transformations. You'll learn how to use Pig to handle real-world data challenges and extract valuable information.

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Business Analyst

Business Analysts use data transformations to analyze business trends and make informed decisions. The Data Transformations with Apache Pig course can equip you with the skills needed to succeed in this role. It covers the fundamentals of data transformation, including data cleaning, aggregation, and visualization. With hands-on exercises, you'll learn how to apply Pig to solve real-world business problems and drive data-driven decision-making.

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Data Architect

Data Architects design and manage data systems, often involving data transformations. The Data Transformations with Apache Pig course provides valuable knowledge for Data Architects who want to enhance their skills. It covers the principles of Pig, including data modeling and transformation techniques. You'll learn how to use Pig to create scalable and efficient data pipelines that meet business requirements.

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IT Manager

IT Managers oversee the implementation and maintenance of data systems, which may involve data transformations. The Data Transformations with Apache Pig course can help you gain insights into this critical aspect. It provides an overview of Pig's capabilities and how to leverage it for data management tasks. By understanding data transformations, you can effectively lead your team in managing and maintaining data systems.

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Systems Analyst

Systems Analysts design and implement computer systems, which often require data transformations. The Data Transformations with Apache Pig course can provide you with valuable knowledge in this area. It covers the basic principles of Pig, including data loading and transformation techniques. You'll learn how to use Pig to build efficient and reliable systems that meet business needs.

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Data Warehouse Engineer

Data Warehouse Engineers design and manage data warehouses, which involve extensive data transformations. The Data Transformations with Apache Pig course can help you build a solid foundation in this area. It covers the fundamentals of Pig, including data integration, transformation, and storage techniques. You'll learn how to use Pig to create and maintain scalable data warehouses that meet business intelligence requirements.

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Database Developer

Database Developers design and develop database systems, which may require data transformations. The Data Transformations with Apache Pig course can provide you with a deeper understanding of this topic. It covers the principles of Pig, including data modeling and transformation techniques. You'll learn how to use Pig to create and maintain efficient databases that meet application requirements.

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ETL Developer

ETL Developers design and implement data pipelines, which involve data transformations. The Data Transformations with Apache Pig course can provide you with specialized knowledge in this field. It covers the principles of Pig, including data extraction, transformation, and loading techniques. You'll learn how to use Pig to build scalable and reliable data pipelines that meet business needs.

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Data Quality Analyst

Data Quality Analysts ensure the accuracy and consistency of data, which involves data transformations. The Data Transformations with Apache Pig course can provide you with valuable skills in this area. It covers the principles of Pig, including data cleaning and validation techniques. You'll learn how to use Pig to improve data quality and ensure data integrity.

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Information Architect

Information Architects design and manage information systems, which may involve data transformations. The Data Transformations with Apache Pig course can enhance your knowledge in this field. It covers the principles of Pig, including data modeling and transformation techniques. You'll learn how to use Pig to create and maintain information systems that meet business objectives.

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Project Manager

Project Managers oversee the planning and execution of projects, which may involve data transformations. The Data Transformations with Apache Pig course can provide you with a basic understanding of this topic. It covers the fundamentals of Pig, including data loading and transformation techniques. This knowledge can help you effectively manage data-related projects and ensure successful outcomes.

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