Managing Big Data with AWS Storage Options from Pluralsight

Discover solutions offered by Amazon Web Services for collecting, processing, and storing big data coming in from different sources, to derive insights about your businesses and your customers

In the modern world, data has become a critical factor in companies making decisions about their business and understanding their customers. But making sense of this data is no small or cheap task. In this course, Managing Big Data with AWS Storage Options, you will learn how to process large amounts of data generated by your company using Amazon Web Services. First, you will learn how to collect, process and store petabytes of data into Amazon Redshift using AWS Glue. Next, you will discover how to process and store real-time data using Amazon Kinesis Data Firehose. Finally, you will explore how to use Amazon Elastic Map Reduce to provision clusters and perform data analysis on your big data, by turning it into meaningful insights. At the end of this course, you will be able to use Amazon Web Services to set up an infrastructure to collect and analyze petabytes of data, to take your business to the next level. In order to get the most out of this course, you will need to have an AWS account to follow the exercises demonstrated.

What's inside

Syllabus

Course Overview

Setting up Amazon Redshift

Populating Amazon Redshift with Data

Creating and Securing Hadoop Environments with Amazon EMR

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides hands-on practice with AWS tools including Glue, Kinesis and Elastic MapReduce

Builds a foundation for understanding big data engineering concepts and tools

Taught by Nertil Poci, an experienced data engineer

Requires an AWS account for exercises, which may incur costs

Career center

Learners who complete Managing Big Data with AWS Storage Options will develop knowledge and skills that may be useful to these careers:

Chief Data Officer

A Chief Data Officer is responsible for overseeing an organization's data strategy. This course may help you prepare for a career as a Chief Data Officer by teaching you how to use Amazon Web Services to set up an infrastructure to collect and analyze petabytes of data.

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Data Architect

A Data Architect designs and manages data systems. This course may help you prepare for a career as a Data Architect by teaching you how to collect, process, and store petabytes of data into Amazon Redshift using AWS Glue.

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Big Data Architect

A Big Data Architect designs, develops, and manages big data systems. This course may help you prepare for a career as a Big Data Architect by teaching you how to use Amazon Web Services to set up an infrastructure to collect and analyze petabytes of data.

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Data Analyst

Data Analysts use their understanding of data to help businesses understand trends and make better decisions. This course may be useful as it teaches how to process large amounts of data generated by your company using Amazon Web Services.

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Data Engineer

A Data Engineer designs and implements data pipelines using AWS to provide solutions to specific data-related problems. This course may help you prepare for a career as a Data Engineer by teaching you how to use Amazon Web Services to set up an infrastructure to collect, store and analyze petabytes of data.

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Data Scientist

Data Scientists make use of data to solve complex problems by applying techniques from fields such as statistics, mathematics, and computer science. This course may help you prepare for a career as a Data Scientist by teaching you how to use Amazon Web Services to collect, store, and process petabytes of data, to take your business to the next level.

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Cloud Architect

A Cloud Architect designs and manages cloud infrastructure. This course may help you build a foundation for a career as a Cloud Architect by teaching you how to set up an infrastructure to collect, analyze, and store petabytes of data using Amazon Redshift, Amazon Kinesis Data Firehose, and Amazon Elastic Map Reduce.

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Software Engineer

Software Engineers build and maintain software applications. As a Software Engineer, familiarity with data storage and processing techniques is an asset. This course may help you build a foundation for a career as a Software Engineer by covering topics such as collecting, processing, storing, and analyzing big data using AWS Storage Options, and setting up data pipelines and performing data analysis.

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Information Security Analyst

Information Security Analysts protect an organization's data from unauthorized access. As an Information Security Analyst, it is crucial to understand data storage and processing techniques. This course may help build a foundation for a career as an Information Security Analyst by covering topics such as collecting, processing, storing, and analyzing big data using AWS Storage Options.

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Business Analyst

A Business Analyst analyzes data to help businesses make decisions. This course may help build a foundation for a career as a Business Analyst by teaching you how to use Amazon Web Services to collect and analyze petabytes of data.

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Database Administrator

Database Administrators manage and maintain databases. This course may be useful as it teaches how to set up Amazon Redshift, process and store data from different sources using Amazon Kinesis Data Firehose, and use Amazon Elastic Map Reduce to provision clusters and perform data analysis on big data.

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Statistician

Statisticians work to collect, analyze, interpret, and present quantitative data. As a Statistician, it is crucial to have a solid understanding of data storage and processing techniques. This course may be useful as it covers topics such as collecting, processing, storing, and analyzing big data using AWS Storage Options.

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Data Management Consultant

Data Management Consultants help organizations manage their data effectively. This course may be useful as it teaches how to set up Amazon Redshift, process and store data from different sources using Amazon Kinesis Data Firehose, and use Amazon Elastic Map Reduce to provision clusters and perform data analysis on big data.

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Project Manager

Project Managers plan and execute projects. As a Project Manager, data management is a key skill. This course may be useful as it teaches how to manage big data projects using Amazon Web Services.

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Operations Manager

Operations Managers oversee the day-to-day operations of an organization, including data management. This course may be useful as it teaches how to manage big data using Amazon Web Services.

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Managing Big Data with AWS Storage Options

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