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Elton Stoneman

Big Data is becoming part of every company, and Hadoop is the core technology for storing and accessing huge quantities of data. This course will teach you how to use Hadoop in the Microsoft world - running on Windows and using .NET to write queries.

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Big Data is becoming part of every company, and Hadoop is the core technology for storing and accessing huge quantities of data. This course will teach you how to use Hadoop in the Microsoft world - running on Windows and using .NET to write queries.

Big Data is an established discipline, and every company can benefit from storing and analyzing large amounts of data to improve their products and services. Hadoop is the key technology in Big Data, but it's too often seen as something which is only for Java and Linux people. This course, Hadoop for .NET Developers, will teach you how to use this key technology. First, you'll learn how to bring Hadoop into a Microsoft environment. You'll also discover how to run the services on Windows and create fast, understandable MapReduce queries in .NET using C#. The course takes a proof-of-concept approach, demonstrating how to evaluate Hadoop on Windows with .NET and .NET Core. By the end of the course, you'll be able to start your own Hadoop journey with confidence.

Hadoop is an open source platform for storing and processing huge quantities of data using a cluster of ordinary servers.

This Hadoop .NET course is designed for .NET and .NET Core developers who want to shift into big data.

We'll have an overview of Hadoop and see how the storage layer, HDFS, and the processing layer, YARN, work and how they work together to query terabytes of data.

This course will cover options for running Hadoop on Windows using Docker, and then with native Windows packages from Hortonworks and Syncfusion.

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What's inside

Syllabus

Course Overview
Introducing Hadoop
Running Hadoop on Windows
Working with Hadoop in .NET
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Querying Data with MapReduce
Navigating the Hadoop Ecosystem

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Meant for .NET and .NET Core developers who wish to work with big data
Provides a comprehensive overview of Hadoop, its storage layer, and processing layer
Demonstrates how to evaluate Hadoop on Windows with .NET and .NET Core
Emphasizes practical implementation rather than just theoretical concepts
Instructed by experienced industry professionals, Elton Stoneman, known for their expertise in the field

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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 Hadoop for .NET Developers with these activities:
Network with Hadoop Professionals
Expand your professional network and connect with individuals working in the field of Hadoop by attending industry events or joining online communities.
Browse courses on Hadoop
Show steps
  • Attend Hadoop-related conferences or meetups
  • Join Hadoop user groups or forums
  • Reach out to professionals on LinkedIn who work in Hadoop
Review Hadoop: The Definitive Guide by Tom White
Deepen your understanding of Hadoop's architecture and capabilities by reviewing Tom White's definitive guide.
Show steps
  • Read chapters 1-3 to understand the fundamentals of Hadoop
  • Skim chapters 4-6 to get an overview of Hadoop's core components
  • Focus on chapters 7-9 to learn about advanced topics such as security and tuning
Follow Hortonworks' Hadoop Tutorials
Enhance your Hadoop skills by following the step-by-step tutorials provided by Hortonworks, a leading Hadoop distribution provider.
Browse courses on Hadoop
Show steps
  • Visit Hortonworks' website
  • Explore the available Hadoop tutorials
  • Select a tutorial that aligns with your learning goals
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a Hadoop Workshop
Gain hands-on experience and learn from experts by attending a Hadoop workshop designed to provide a comprehensive overview of the technology.
Browse courses on Hadoop
Show steps
  • Search for Hadoop workshops in your area or online
  • Select a workshop that aligns with your learning goals
  • Register and participate actively in the workshop
Implement a Simple MapReduce Job
Gain practical experience by building a basic MapReduce job that processes data using Hadoop's distributed computing capabilities.
Browse courses on MapReduce
Show steps
  • Set up a Hadoop cluster on your local machine
  • Write a Java program to perform a simple data transformation using MapReduce
  • Run the job on your Hadoop cluster and analyze the results
Solve Hadoop Coding Challenges
Challenge yourself by solving coding exercises that test your understanding of Hadoop programming concepts and techniques.
Browse courses on MapReduce
Show steps
  • Find online resources or books that provide Hadoop coding challenges
  • Attempt to solve the challenges on your own
  • Review solutions and explanations to enhance your understanding
Build a Hadoop-Based Data Pipeline
Apply your Hadoop skills to a real-world scenario by building a data pipeline that utilizes Hadoop's capabilities to process and analyze data.
Browse courses on Hadoop
Show steps
  • Identify a business problem or use case that can benefit from Hadoop
  • Design the data pipeline architecture
  • Implement the data pipeline using Hadoop components
  • Test and evaluate the performance of the data pipeline

Career center

Learners who complete Hadoop for .NET Developers will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use large quantities of data to solve pressing business problems. This course, Hadoop for .NET Developers, should be particularly valuable for Data Scientists who frequently work with C# to build innovative and optimal data pipelines.
Hadoop Engineer
Hadoop Engineers work with Hadoop clusters daily and are responsible for developing, maintaining, and optimizing these clusters to improve performance. This course, Hadoop for .NET Developers, is ideal for current Hadoop Engineers because it helps to strengthen their knowledge and skills in Hadoop.
Data Analyst
Data Analysts are responsible for collecting and organizing large datasets. They then use these datasets to identify relevant trends and themes, which can improve business strategy. This course, Hadoop for .NET Developers, will help Data Analysts who work with C# to uncover key patterns in large quantities of data.
Software Engineer
Software Engineers develop, deploy, and maintain software. This course, Hadoop for .NET Developers, can be helpful to Software Engineers because it provides foundational concepts and best practices in Hadoop.
Database Administrator
Database Administrators are responsible for maintaining and improving databases. This course, Hadoop for .NET Developers, may be useful to Database Administrators because it will help to expand their understanding of data technologies.
Big Data Engineer
Big Data Engineers work with big data technologies and frameworks to solve problems and drive innovation. This course, Hadoop for .NET Developers, is an excellent option for those who want to become Big Data Engineers because it will help to build a strong foundation of knowledge.
Cloud Engineer
Cloud Engineers design, build, and manage cloud computing systems. This course, Hadoop for .NET Developers, can be helpful to Cloud Engineers because it introduces key cloud technologies like Hadoop.
Machine Learning Engineer
Machine Learning Engineers build, test, and deploy machine learning models. This course, Hadoop for .NET Developers, may be useful to Machine Learning Engineers who want to expand their knowledge and skills in Hadoop.
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course, Hadoop for .NET Developers, should be particularly valuable for Data Engineers who work with C# to develop and manage data pipelines.
DevOps Engineer
DevOps Engineers work with development and operations teams to improve software development and delivery processes. This course, Hadoop for .NET Developers, may be useful to DevOps Engineers because it will help to expand their knowledge and skills in Hadoop.
Security Engineer
Security Engineers design, implement, and manage security systems. This course, Hadoop for .NET Developers, may be useful to Security Engineers who want to expand their knowledge and skills in Hadoop.
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns that may drive business decisions. This course, Hadoop for .NET Developers, may be useful to Business Intelligence Analysts who want to expand their knowledge and skills in Hadoop.
Data Architect
Data Architects design and build data systems. This course, Hadoop for .NET Developers, may be useful to Data Architects who want to expand their knowledge and skills in Hadoop.
Solutions Architect
Solutions Architects design, build and implement technology solutions. This course, Hadoop for .NET Developers, may be useful to Solutions Architects who want to expand their knowledge and skills in Hadoop.
Systems Administrator
Systems Administrators manage and maintain computer systems. This course, Hadoop for .NET Developers, may be useful to Systems Administrators who want to expand their knowledge and skills in Hadoop.

Reading list

We've selected 13 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 Hadoop for .NET Developers.
Provides a comprehensive overview of Hadoop, including its architecture, components, and use cases. It valuable resource for anyone who wants to learn more about Hadoop and how to use it effectively.
Provides a comprehensive guide to operating Hadoop clusters. It covers a wide range of topics, including cluster installation, configuration, and management.
Provides a practical guide to using Hadoop for data processing and analysis. It covers a wide range of topics, including data ingestion, data processing, and data visualization.
Provides a practical guide to using Hadoop for data processing and analysis. It covers a wide range of topics, including data ingestion, data processing, and data visualization.
Provides a comprehensive guide to using Hadoop for data science. It covers a wide range of topics, including data exploration, data analysis, and data visualization.
Focuses on the operational aspects of Hadoop, including how to install, configure, and manage a Hadoop cluster. This book is especially useful for system administrators and engineers who need to understand the operational details of Hadoop.
Provides a guide to securing a Hadoop cluster, including how to configure security features and manage user access. Provides a guide to securing a Hadoop cluster, including how to configure security features and manage user access.
Provides a guide to administering a Hadoop cluster, including how to install, configure, and monitor Hadoop components. Provides a guide to administering a Hadoop cluster, including how to install, configure, and monitor Hadoop components.
Introduces Apache Spark as a complementary technology to Hadoop. Covers topics such as Spark's architecture, programming model, and use cases.
Provides a basic overview of Hadoop, including its architecture and components. Provides a basic overview of Hadoop, including its architecture and components, this good choice for beginners.
Focuses on securing Hadoop clusters. Covers topics such as authentication, authorization, encryption, and auditing. Provides practical guidance and best practices.
Provides a comprehensive overview of Hadoop. Covers topics such as Hadoop's architecture, components, and use cases. Suitable for beginners with little or no prior knowledge of Hadoop.
Focuses on the enterprise applications of Hadoop. Covers topics such as data governance, security, and integration with other enterprise systems.

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