Analyzing Data on AWS

Focused View

Clarke Bishop

2:12:38

13 View

01 Course Overview

01 Course Overview.MP4

01:49

02 Data Analytics on AWS

02 Data Analytics on AWS.MP4

02:57

03 AWS Data Analytics Services.MP4

04:02

04 Data Engineering Principles.MP4

05:01

03 Amazon Elasticsearch

05 Amazon Elastisearch.MP4

05:03

06 Get Data into Elastisearch.MP4

05:27

07 Kibana Visualizing Data.MP4

02:53

08 Elastisearch Security.MP4

03:14

09 Amazon Elastisearch Demo Part 1.MP4

06:14

10 Amazon Elastisearch Demo Part 2.MP4

06:35

04 Amazon Athena

11 Amazon Athena.MP4

06:16

12 Glue Catalog Data.MP4

04:15

13 Amazon Athena Demo Part 1.MP4

06:20

14 Amazon Athena Demo Part 2.MP4

04:51

05 Kinesis Data Analytics

15 Kinesis Data Analytics.MP4

05:34

16 Kinesis Data Analytics Configuration.MP4

02:49

17 Kinesis Data Analytics Demo.MP4

08:57

06 Amazon Redshift

18 Amazon Redshift.MP4

05:01

19 Redshift Architecture.MP4

09:47

20 Redshift Configuration.MP4

06:12

21 Get Data into and out of Redshift.MP4

06:47

22 Redshift Demo Configuration.MP4

04:55

23 Redshift Demo IAM And Query Editor.MP4

05:57

24 Redshift Demo SQL Client.MP4

06:47

07 Course Summary

25 Course Summary.MP4

04:55

Description

Studying for the Amazon Certified Data Analytics - Specialty exam, or need to do Big Data Analytics on AWS? In this course, you’ll learn four Amazon Analytics services—specifically Redshift, Elasticsearch, Kinesis Data Analytics, and Athena.

What You'll Learn?

Amazon offers four powerful services for data analytics. Only, there’s a lot you need to know to use them effectively.

In this course, Analyzing Data on AWS, you’ll learn to configure and use Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift.

First, you’ll learn how to analyze streaming log files or other text data with Elasticsearch and how to visualize the data with Kibana. Next, you’ll discover how to directly query data in S3 using Amazon Athena along with the Glue Data Catalog and Glue crawlers. Then, you’ll explore SQL queries on real time streaming data with Kinesis Data Analytics. Finally, you’ll learn how to design and use Amazon’s data warehouse—Redshift.

When you’re finished with this course, you’ll have learned key topics covered by the Amazon Data Analytics - Specialty exam, and be ready to create your own data analytics projects on AWS.

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Data Analysis

Amazon AWS

Clarke Bishop

Instructor's Courses

Clarke Bishop is a Cloud Architect and Data Engineer who loves solving tough problems. He's worked in Manufacturing, Agriculture, Telecommunications, Construction, Insurance, Financial Services, Human Resources, Marketing, and Media. Skills include Big Data with Spark and Python, Cloud Architecture and Full Stack Web Application Development with JavaScript frameworks and HTML. Clarke has an MBA with a concentration in Finance, a Masters in Electrical Engineering, and a Bachelors in Electrical Engineering.

Pluralsight

View courses Pluralsight

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.