Managing Big Data with AWS Storage Options

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Nertil Poci

1:36:30

26 View

1.Course Overview

01.Course Overview.mp4

01:37

2.Setting up Amazon Redshift

02.Getting Started.mp4

04:54

03.Storage Types.mp4

02:15

04.Clusters.mp4

02:16

05.The Copy Command.mp4

03:23

06.Copying Data From S3.mp4

04:41

07.External Clients.mp4

02:58

08.Summary.mp4

00:45

3.Populating Amazon Redshift with Data

09.Intro.mp4

01:36

10.AWS Glue.mp4

04:07

11.Discovering Data Using Crawlers.mp4

05:11

12.Creating Basic ETL Jobs.mp4

04:59

13.Transforming And Enriching Data Using ETL.mp4

06:27

14.Job Automation.mp4

05:01

15.AWS Kinesis Overview.mp4

04:06

16.Creating a Kinesis Data Firehose Pipeline.mp4

07:33

17.Summary.mp4

00:52

4.Creating and Securing Hadoop Environments with Amazon EMR

18.Intro.mp4

00:49

19.EMR Overview.mp4

04:14

20.Creating a Simple Step Execution Cluster.mp4

05:06

21.Advanced Cluster Options.mp4

03:24

22.Instance Fleets.mp4

03:03

23.Connecting Via SSH.mp4

03:27

24.EMR Security Options.mp4

05:26

25. Provisioning Encrypted and Secured Clusters.mp4

07:03

26.Summary.mp4

01:17

Description

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

What You'll Learn?

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.

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Big Data

Amazon AWS

Nertil Poci

Instructor's Courses

Nertil is a freelance software architect working with different companies around the globe to help them bring their products to market. He has a master’s degree in computer science with a focus in software architecture. One of his main passions is discovering new tools and libraries that exists out there. Knowing what tools are available building apps much easier and gives you the confidence you need when challenging task comes along. Nertil enjoys building practical open source apps in his spare time, it’s how he stays up to date with the latest technologies and contributes back to the open source community.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.