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Mat Leonard

Tackle big data problems with your own Hadoop clusters! Take Udacity's free course and deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.

What's inside

Syllabus

Deploying Hadoop on Amazon EC2
Problem Set: StackExchange Posts
Deploying a Hadoop cluster with Ambari
Problem Set: Reddit comments
Read more
On-demand Hadoop clusters
Project Prep

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Geared toward those with experience using Hadoop and clusters
Teaches students how to gain insights from large datasets
Provides hands-on experience in deploying Hadoop clusters on Amazon EC2
Covers essential concepts of Hadoop cluster deployment
Introduces students to industry-standard tools and technologies

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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 Deploying a Hadoop Cluster with these activities:
Attend a Hadoop meetup
This activity will allow you to connect with other Hadoop users and learn from their experiences.
Show steps
  • Find a Hadoop meetup in your area.
  • Attend the meetup and introduce yourself to other attendees.
  • Ask questions and learn from others.
Read Hadoop: The Definitive Guide
This book provides a comprehensive overview of Hadoop, covering everything from the basics to advanced topics. Reading it will give you a deep understanding of Hadoop that will help you succeed in this course.
Show steps
Learn about Apache Ambari
This activity will introduce you to Apache Ambari, a tool for managing Hadoop clusters, which will make it easier for you to deploy and manage Hadoop clusters in the future.
Browse courses on Hadoop
Show steps
  • Watch a video tutorial on Apache Ambari.
  • Read the Apache Ambari documentation.
  • Experiment with Apache Ambari by deploying a Hadoop cluster on your local machine.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Attend a Hadoop workshop
This activity will give you the opportunity to learn from experts in the field and get hands-on experience with Hadoop.
Show steps
  • Research Hadoop workshops in your area.
  • Register for a workshop that fits your schedule and interests.
  • Attend the workshop and participate actively.
Deploy and manage Hadoop clusters on AWS EC2
This activity will help you gain hands-on experience in deploying and managing Hadoop clusters on AWS, a key skill for working with big data.
Browse courses on Hadoop
Show steps
  • Follow the course syllabus steps to set up and configure your AWS EC2 instance.
  • Use the Hadoop command line tools to manage the Hadoop cluster, including starting, stopping, and monitoring nodes.
  • Troubleshoot common issues that may arise when working with Hadoop clusters.
Analyze Reddit comments with Hadoop
This activity will give you practice with using Hadoop to analyze large datasets, a skill that is in high demand in the data science industry.
Browse courses on Hadoop
Show steps
  • Import the Reddit comments dataset into your Hadoop cluster.
  • Write a Hadoop MapReduce program to analyze the dataset.
  • Generate insights from the analysis results.
Build a Hadoop-based data pipeline
This project will allow you to apply your Hadoop skills to a real-world problem, giving you a taste of what it's like to work with big data in a professional setting.
Browse courses on Hadoop
Show steps
  • Define the scope and objectives of your data pipeline.
  • Design the architecture of your data pipeline.
  • Implement your data pipeline using Hadoop.
  • Test and evaluate your data pipeline.
Contribute to the Apache Hadoop project
This activity will give you the opportunity to learn from and contribute to the development of Hadoop, one of the most popular big data frameworks in the world.
Browse courses on Hadoop
Show steps
  • Find an issue in the Apache Hadoop project that you can help with.
  • Fork the Hadoop project and create a branch for your changes.
  • Implement your changes and submit a pull request.
Write a blog post about your experience with Hadoop
This activity will help you to reflect on your learning and share your knowledge with others.
Show steps
  • Choose a topic that you are interested in.
  • Do some research on your topic.
  • Write a blog post about your findings.
  • Share your blog post with others.

Career center

Learners who complete Deploying a Hadoop Cluster will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer is responsible for the development, deployment, and maintenance of Hadoop clusters. This course from Udacity will teach you all the skills you need to succeed in this role. You'll learn how to deploy Hadoop clusters on Amazon EC2 and Ambari, and how to use them to gain insights from large datasets. This course is a great way to get started in the field of data engineering.
Big Data Analyst
A Big Data Analyst uses Hadoop clusters to analyze large datasets and identify trends and patterns. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to analyze data from a variety of sources, and how to use this data to make informed decisions.
Data Scientist
A Data Scientist uses Hadoop clusters to develop and deploy machine learning models. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to prepare data for machine learning, and how to use machine learning to solve real-world problems.
Hadoop Administrator
A Hadoop Administrator is responsible for the day-to-day operation and maintenance of Hadoop clusters. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to install and configure Hadoop, and how to monitor and troubleshoot Hadoop clusters.
Cloud Architect
A Cloud Architect is responsible for designing and deploying cloud-based solutions. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to design and deploy Hadoop clusters on AWS, and how to use Hadoop to build scalable and reliable cloud-based applications.
Software Engineer
A Software Engineer is responsible for developing and maintaining software applications. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to develop and deploy data-intensive applications.
Database Administrator
A Database Administrator is responsible for the installation, configuration, and maintenance of databases. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to manage large-scale databases.
IT Manager
An IT Manager is responsible for planning, implementing, and managing IT systems. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to deploy and manage Hadoop clusters.
Data Analyst
A Data Analyst is responsible for analyzing data and identifying trends and patterns. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to analyze large datasets.
Business Analyst
A Business Analyst is responsible for analyzing business processes and recommending improvements. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to analyze large datasets and identify opportunities for improvement.
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making investment recommendations. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to analyze large financial datasets.
Marketing Analyst
A Marketing Analyst is responsible for analyzing marketing data and identifying trends and opportunities. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to analyze large marketing datasets.
Operations Research Analyst
An Operations Research Analyst is responsible for developing mathematical models to solve business problems. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to solve large-scale optimization problems.
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to analyze large statistical datasets.
Quantitative Analyst
A Quantitative Analyst is responsible for developing and using mathematical models to solve financial problems. This course from Udacity will teach you the skills you need to succeed in this role. You'll learn how to use Hadoop to analyze large financial datasets.

Reading list

We've selected 18 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Deploying a Hadoop Cluster.
Provides a guide to using Hadoop for social media analysis.
Hadoop Operations provides a practical guide to Hadoop operations. It covers topics such as Hadoop security, monitoring, and troubleshooting.
Advanced Analytics with Spark provides a comprehensive overview of advanced analytics with Spark. It covers topics such as machine learning, graph processing, and streaming analytics.
Spark in Action provides a practical, hands-on approach to learning Spark. It covers the core concepts of Spark, as well as how to use Spark to solve real-world problems.
Learning Spark provides a comprehensive overview of Spark. It covers the core concepts of Spark, as well as how to use Spark to solve real-world problems.
Natural Language Processing with Spark provides a comprehensive overview of natural language processing with Spark. It covers topics such as text classification, text clustering, and text summarization.
Scala for Machine Learning provides a comprehensive overview of Scala for machine learning. It covers topics such as data manipulation, machine learning algorithms, and deep learning.

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