AWS Certified Data Analytics – Specialty (DAS-C01)

Paths

AWS Certified Data Analytics – Specialty (DAS-C01)

Authors: Fernando Medina Corey, Dan Tofan, Clarke Bishop, Mohammed Osman, Saravanan Dhandapani

The AWS Certified Data Analytics Specialty certification is for software developers and data professionals who want to demonstrate their data analytics skills on the AWS platform.... Read more

The courses in this path will teach you how to evaluate business requirements for big data applications, and then how to build, secure, maintain and design data analytics solutions in the AWS cloud. These topics are designed to prepare you for the AWS Certified Data Analytics – Specialty certification exam.

Pre-requisites

This path is intended for advanced AWS practitioners with two years of hands-on experience running data analytics workloads on AWS and five years of experience in the broader data analytics field. In addition, the AWS Certified Solution Architect – Associate certification, or the AWS Certified Developer – Associate certification are recommended before attempting the AWS Certified Data Analytics – Specialty certification.

Path Courses

The courses in this path will teach you how to evaluate business requirements for big data applications, and then how to build, secure, maintain and design data analytics solutions in the AWS cloud. These topics are designed to prepare you for the AWS Certified Data Analytics – Specialty certification exam.

Collecting Data on AWS

by Fernando Medina Corey

Jun 11, 2020 / 2h 18m

2h 18m

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Description

Whenever you’re doing data analytics, the first step is to find a way to collect all the information you want to process. In this course, Collecting Data on AWS, you’ll learn to determine the best ways to ingest your data into AWS. First, you’ll explore how to collect data in AWS over a dedicated network or with hardware appliances. Next, you’ll discover how you can migrate databases using the Database Migration Service (DMS). Finally, you’ll learn how to leverage the Amazon Kinesis family of services, and when each of those is most appropriate. When you’re finished with this course, you’ll have the skills and knowledge of Data Collection on AWS needed to prepare your own data ingestion pipelines.

Table of contents
  1. Course Overview
  2. The Kinesis Family
  3. Amazon Kinesis Data Streams
  4. Amazon Kinesis Data Firehose
  5. Data Transfer with Snowball and Direct Connect
  6. AWS Database Migration Service

Storing Data on AWS

by Fernando Medina Corey

Jul 25, 2020 / 2h 51m

2h 51m

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Description

When working with software applications you will always need a place to store the data you generate. In this course, Storing Data on AWS, you'll learn to select the best AWS storage technology for your needs. First, you’ll explore how and when to leverage Amazon DynamoDB for low-latency, highly-scalable data storage and access patterns. Next, you'll discover how to use Amazon S3 for both file and data storage. Finally, you'll learn how to analyze different use cases for these services as well as other services that might play a role in the larger data storage picture. When you’re finished with this course, you’ll have the skills and knowledge of AWS data storage technologies needed to effectively design data-storage solutions on AWS.

Table of contents
  1. Course Overview
  2. Data Storage with DynamoDB
  3. Data Storage with Amazon S3
  4. Other AWS Data Storage Solutions

Processing Data on AWS

by Dan Tofan

Jul 17, 2020 / 1h 57m

1h 57m

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Description

Learning the fundamentals of data processing with AWS is not as difficult as it may seem. In this course, Processing Data on AWS, you will learn how to process large amounts of data on AWS. First, you’ll explore data processing with Lambda and Glue. Next, you’ll discover the basics of the Hadoop ecosystem and how to use it with AWS EMR. Finally, you’ll learn how to automate data processing using AWS Data Pipeline. When you’re finished with this course, you’ll have the skills and knowledge of the AWS services needed to process large amounts of data on AWS and get certified in it.

Table of contents
  1. Course Overview
  2. Processing Data with Lambda and Glue
  3. Understanding the Hadoop Ecosystem
  4. Processing Data with EMR
  5. Automating Data Processing

Analyzing Data on AWS

by Clarke Bishop

Aug 3, 2020 / 2h 12m

2h 12m

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Description

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.

Table of contents
  1. Course Overview
  2. Data Analytics on AWS
  3. Amazon Elasticsearch
  4. Amazon Athena
  5. Kinesis Data Analytics
  6. Amazon Redshift
  7. Course Summary

Visualizing Data on AWS

by Mohammed Osman

Jun 18, 2020 / 34m

34m

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Description

Data visualization is a necessary task for any business professional trying to make sense of numbers, data scientists trying to identify an underlying relationship, or even a C-level executive who wants to visualize rigid reported figures. In this course, Visualizing Data on AWS, you’ll learn how to visualize and quickly make sense of your data. First, you’ll explore the basics of AWS QuickSight. Next, you’ll discover the core components that form AWS QuickSight. Finally, you’ll learn how to visualize your data using different chart types. When you’re finished with this course, you’ll have the skills and knowledge of data visualization needed to perform data visualization.

Table of contents
  1. Course Overview
  2. Introduction to AWS QuickSight
  3. AWS QuickSight in Action

Securing Data Analytics Pipelines on AWS

by Saravanan Dhandapani

May 20, 2020 / 1h 9m

1h 9m

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Description

When you think about data analytics, securing the end to end data flow right from data ingestion to visualization is very important. In this course, Securing Data Analytics Pipelines on AWS, you’ll learn to secure and protect the data both at rest and in transit. First, you’ll explore different authentication and authorization mechanisms that are available in AWS IAM, understand users, groups, policies, and best practices in securing AWS resources. Next, you’ll discover how to encrypt and decrypt sensitive data against any potential risk both at rest and in transit. Finally, you’ll learn how to use various AWS services to understand compliance and governance against industry standards like HIPAA, PCI, and setup controls that can monitor and alert any violations. When you’re finished with this course, you’ll have the skills and knowledge of Securing Data Analytics pipelines needed to clear the AWS Certified Data Analytics Specialty exam.

Table of contents
  1. Course Overview
  2. AWS Authorization and Authentication Mechanism
  3. AWS Data Protection and Encryption Strategies
  4. Data Governance and Compliance Controls