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Big Data on Amazon Web Services

Andrew Brust

This course contains an overview and demonstration of numerous components in the Amazon Web Services (AWS) Big Data Stack.

This course provides a tour through Amazon Web Services' (AWS) Big Data stack components, namely DynamoDB, Elastic MapReduce (EMR), Redshift, Data Pipeline, and Jaspersoft BI on AWS. AWS Kinesis is also discussed. All steps for creating an AWS account, setting up a security key pair and working with AWS Simple Storage Service (S3) are covered as well. Numerous demos are provided, demonstrating interaction through AWS components via Web browser user interfaces, command line, and desktop tools.

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What's inside

Syllabus

Introduction

Overview

AWS Preliminaries

DynamoDB

Elastic MapReduce

Redshift

Data Pipeline

Jaspersoft

Epilogue

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores Amazon's Big Data stack components, including DynamoDB, Elastic MapReduce, Redshift, Data Pipeline, and Jaspersoft BI

Provides hands-on experience through demonstrations and interaction via various user interfaces

Covers essential steps for setting up AWS accounts and working with AWS Simple Storage Service (S3)

Suitable for those interested in gaining an overview of AWS's Big Data capabilities

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Career center

Learners who complete Big Data on Amazon Web Services will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers are responsible for the management of big data. This includes the analysis and collection of large data sets as well as the creation of data infrastructure and tools to support stakeholders. The Amazon Web Services (AWS) Big Data Stack incorporates many tools used by Data Engineers in their day-to-day work. Taking this course can help you build a foundation for success in this career field.

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Database Administrator

Database Administrators ensure that database management systems are running smoothly and efficiently. They may work with a variety of database technologies, including relational databases, NoSQL databases, and big data platforms. This course provides an overview of DynamoDB, a NoSQL database offered by AWS, which may be useful for those seeking a career as a Database Administrator.

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Database Designer

Database Designers design and implement databases. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Data Governance Analyst

Data Governance Analysts develop and implement data governance policies and procedures. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Data Integration Architect

Data Integration Architects design and implement data integration solutions. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Data Warehouse Architect

Data Warehouse Architects design and implement data warehouses. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Data Quality Analyst

Data Quality Analysts ensure that data is accurate, consistent, and complete. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Big Data Architect

Big Data Architects plan, design, and implement big data initiatives. They help organizations understand the big data landscape and make informed decisions about how to use it to achieve their goals. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Systems Analyst

Systems Analysts design and implement computer systems. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Cloud Architect

Cloud Architects design and implement cloud computing solutions. They may work on a variety of projects, including big data projects. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. They may work on a variety of projects, such as predictive analytics, natural language processing, and computer vision. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Data Scientist

Data Scientists use data to solve business problems. They may work on a variety of projects, such as predictive analytics, natural language processing, and computer vision. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Business Intelligence Analyst

Business Intelligence Analysts provide insights to help organizations make better decisions. They may work with data from a variety of sources, including big data platforms, to identify trends and patterns. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Data Analyst

Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. They may use a variety of tools and techniques, including statistical analysis, machine learning, and data visualization. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They may work on a variety of projects, including big data applications. This course may be useful for those seeking to learn about the components in the AWS Big Data Stack.

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Reading list

We've selected 11 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 Big Data on Amazon Web Services.

Principles of Database Management

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Provides a comprehensive overview of big data analytics. It covers the entire process of big data analytics, from strategic planning to enterprise integration. It valuable resource for learners who want to gain a deep understanding of big data analytics.

Principles of Database Management: The Practical...

Hardcover

$$$

Principles of Database Management: The Practical...

Kindle Edition

$$$

Designing Data-Intensive Applications

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Provides architectural principles and patterns for designing and building data-intensive applications, offering valuable insights for those working with big data technologies.

Big Data on Amazon Web Services

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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