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Amazon EMR Getting Started

AWS Instructor

Amazon EMR is a managed cluster solution that can make it more efficient to run big data frameworks, such as Apache Hadoop and Apache Spark, on Amazon Web Services (AWS) to process and analyze vast amounts of data.

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Amazon EMR is a managed cluster solution that can make it more efficient to run big data frameworks, such as Apache Hadoop and Apache Spark, on Amazon Web Services (AWS) to process and analyze vast amounts of data.

In this course, you will learn the benefits and technical concepts of Amazon EMR. If you are new to the service, you will learn how to start using Amazon EMR through a demonstration using the AWS Management Console and AWS Command Line Interface (AWS CLI). You will learn about the native architecture and how the built-in features can help you process data for analytics purposes and business intelligence workloads.

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What's inside

Syllabus

Amazon EMR Getting Started
Amazon EMR is a managed cluster solution that can make it more efficient to run big data frameworks, such as Apache Hadoop and Apache Spark, on Amazon Web Services (AWS) to process and analyze vast amounts of data. In this course, you will learn the benefits and technical concepts of Amazon EMR. If you are new to the service, you will learn how to start using Amazon EMR through a demonstration using the AWS Management Console and AWS Command Line Interface (AWS CLI). You will learn about the native architecture and how the built-in features can help you process data for analytics purposes and business intelligence workloads.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides foundational skills and knowledge for big data processing and analytics
Instructed by experts from AWS who have extensive experience in big data technologies
Focuses on practical applications, including hands-on labs and demonstrations
Covers both basic and advanced concepts of Amazon EMR, making it suitable for learners of various levels

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Career center

Learners who complete Amazon EMR Getting Started will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst uses tools and software to translate raw data into meaningful insights that support decision-making. The Amazon EMR Getting Started course can help build a foundation for this role by familiarizing learners with data processing and analytics frameworks commonly used by Data Analysts. By learning how to use Amazon EMR, learners can gain hands-on experience with big data tools and techniques, which can enhance their employability in this field.
Data Scientist
A Data Scientist uses statistical and machine learning techniques to extract insights from data. The Amazon EMR Getting Started course may be useful for this role by providing learners with an understanding of the tools and frameworks used in big data analytics. By learning how to use Amazon EMR, Data Scientists can gain hands-on experience with data processing and analytics, which can enhance their ability to develop and implement data-driven solutions.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data-driven decision-making. The Amazon EMR Getting Started course may be useful for this role by introducing learners to the fundamentals of data processing and analytics on AWS. Understanding how to use Amazon EMR can help Data Engineers effectively manage and process large datasets, which is a critical aspect of this role.
Cloud Architect
A Cloud Architect designs and manages cloud computing infrastructure. The Amazon EMR Getting Started course may be useful for this role by providing Cloud Architects with an understanding of big data processing and analytics on AWS. By learning how to use Amazon EMR, Cloud Architects can gain experience with managing and scaling big data workloads, which can enable them to design and implement more effective cloud architectures.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. While not directly related to software engineering, the Amazon EMR Getting Started course may be useful for Software Engineers who work on data-intensive applications. By understanding how to use Amazon EMR, Software Engineers can gain experience with big data processing and analytics, which can enable them to build more scalable and efficient software solutions.
Data Architect
A Data Architect designs and manages data architecture and infrastructure. The Amazon EMR Getting Started course may be useful for this role by providing Data Architects with an understanding of big data processing and analytics on AWS. By learning how to use Amazon EMR, Data Architects can gain experience with managing and scaling big data workloads, which can enable them to design and implement more effective data architectures.
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and maintains machine learning models. The Amazon EMR Getting Started course may be useful for this role by providing Machine Learning Engineers with an understanding of big data processing and analytics. By learning how to use Amazon EMR, Machine Learning Engineers can gain experience with managing and scaling big data workloads, which can enable them to develop and implement more effective machine learning models.
Database Administrator
A Database Administrator manages and maintains databases. The Amazon EMR Getting Started course may be useful for this role by providing Database Administrators with an understanding of big data processing and analytics. By learning how to use Amazon EMR, Database Administrators can gain experience with managing and scaling big data workloads, which can enable them to design and implement more effective database solutions.
Information Security Analyst
An Information Security Analyst protects an organization's computer networks and systems from unauthorized access, use, disclosure, disruption, modification, or destruction. The Amazon EMR Getting Started course may be useful for this role by providing Information Security Analysts with an understanding of big data processing and analytics. By learning how to use Amazon EMR, Information Security Analysts can gain experience with securing and managing big data workloads, which can enable them to develop and implement more effective security measures.
Data Warehouse Manager
A Data Warehouse Manager plans and manages data warehouses, which store and manage large amounts of data from multiple sources. The Amazon EMR Getting Started course may be useful for this role by providing Data Warehouse Managers with an understanding of big data processing and analytics. By learning how to use Amazon EMR, Data Warehouse Managers can gain experience with managing and scaling big data workloads, which can enable them to design and implement more effective data warehouses.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical methods to analyze financial markets and investments. The Amazon EMR Getting Started course may be useful for this role by providing Quantitative Analysts with an understanding of big data processing and analytics. By learning how to use Amazon EMR, Quantitative Analysts can gain experience with managing and scaling big data workloads, which can enable them to analyze and interpret large datasets more effectively.
Systems Analyst
A Systems Analyst analyzes and evaluates computer systems and procedures to identify inefficiencies and recommend improvements. The Amazon EMR Getting Started course may be useful for this role by providing Systems Analysts with an understanding of big data processing and analytics. By learning how to use Amazon EMR, Systems Analysts can gain experience with managing and scaling big data workloads, which can enable them to make more informed recommendations for improving system efficiency and effectiveness.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical methods to optimize business processes and operations. The Amazon EMR Getting Started course may be useful for this role by providing Operations Research Analysts with an understanding of big data processing and analytics. By learning how to use Amazon EMR, Operations Research Analysts can gain experience with managing and scaling big data workloads, which can enable them to develop and implement more effective optimization strategies.
Business Analyst
A Business Analyst identifies and analyzes business needs and processes to improve efficiency and productivity. The Amazon EMR Getting Started course may be useful for this role by providing Business Analysts with an understanding of big data processing and analytics. By learning how to use Amazon EMR, Business Analysts can gain experience with data analysis and visualization, which can enable them to make more informed decisions and recommendations.
Statistician
A Statistician collects, analyzes, and interprets data to draw conclusions and make predictions. The Amazon EMR Getting Started course may be useful for this role by providing Statisticians with an understanding of big data processing and analytics. By learning how to use Amazon EMR, Statisticians can gain experience with managing and scaling big data workloads, which can enable them to analyze and interpret large datasets more effectively.

Reading list

We've selected ten 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 Amazon EMR Getting Started.
Provides a comprehensive overview of Apache Spark, including its architecture, components, and use cases. It valuable resource for anyone who wants to learn more about Spark and how to use it effectively.
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.
Practical guide to Spark, covering everything from the basics to advanced topics. It valuable resource for anyone who wants to learn more about Spark, whether they are new to the technology or experienced users.
Provides a comprehensive guide to Spark. It covers everything from the basics to advanced topics. It valuable resource for anyone who wants to learn more about Spark.
Provides a comprehensive overview of big data analytics with Java. It covers a wide range of topics, including data collection, storage, processing, and analysis. It valuable resource for anyone who wants to learn more about big data analytics with Java.
Provides a comprehensive guide to Hadoop administration. It covers a wide range of topics, including cluster management, data management, and security. It valuable resource for anyone who wants to learn more about Hadoop administration.
Provides a comprehensive guide to using Spark for advanced analytics, including how to use Spark MLlib, Spark SQL, and Spark Streaming. It valuable resource for anyone who wants to learn more about Spark and how to use it effectively for advanced analytics.
Provides a practical guide to Hadoop operations. It covers a wide range of topics, including cluster management, data management, and security. It valuable resource for anyone who wants to learn more about Hadoop operations.
Provides a comprehensive guide to deep learning with Spark. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone who wants to learn more about deep learning with Spark.
Provides a comprehensive guide to data management with Hadoop. It covers a wide range of topics, including data storage, data processing, and data analysis. It valuable resource for anyone who wants to learn more about data management with Hadoop.

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