Description
Course info
Level
Intermediate
Updated
Aug 22, 2019
Duration
2h 19m
Description

A lot of people hear about big data analyzation, but how can you use it for your use cases? In this course, Handling and Analyzing Data with AWS Elastic MapReduce, you’ll learn foundational knowledge and gain the ability to use AWS Elastic MapReduce to perform data analyzation. First, you’ll explore configuring AWS EMR and Hadoop. Next, you’ll discover how to process, move, and query data using big data frameworks. Finally, you’ll learn how to stream and analyze data using Apache products and MLlib. When you’re finished with this course, you’ll have the skills and knowledge of using AWS EMR needed to handle and analyze your own big data datasets.

About the author
About the author

Andru is a technical evangelist who loves to learn, implement and teach the newest technologies, especially anything related to cloud and virtualization.

More from the author
Managing AWS Operations
Intermediate
3h 31m
May 21, 2019
Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
(Music playing) Hello everyone, my name is Andru Estes, and welcome to my course, Handling and Analyzing Data with AWS Elastic MapReduce. Currently I'm a cloud architect at CSG International. Big data is one of the fastest-growing trends within the IT industry, and demand for data engineers is at an all-time high. In this course, we're going to explore how we can utilize AWS along with some popular data frameworks to analyze and process our big data datasets. Some of the major topics that we're going to cover include configuring AWS Elastic MapReduce, exploring how we can process, move, and query our data, we're going to look at popular Apache products used for big data analysis, and we'll even leverage MLLib in our big data pipelines. By the end of this course, you'll know how to begin using AWS Elastic MapReduce to process your very own datasets. Now, before beginning this course, you should be familiar with relational and non-relational data, big data principles at a fundamental level, and basic AWS services. From here, you should feel pretty comfortable diving into big data deep dives with courses on deep dives into big data processing, maybe some SageMaker related courses for machine learning, or even just courses specific to some of the Apache products that we're going to cover throughout the course. Now, I hope you'll join me on this journey to learn how to use AWS Elastic MapReduce with the Handling and Analyzing Data with AWS Elastic MapReduce course here at Pluralsight.