AWS Certified Data Analytics: Specialty

On this accelerated AWS Certified Data Analytics – Specialty course, you'll learn how to use AWS to design, build, secure and maintain analytics solutions. You'll get access to data which will provide you with the best suggestions on how to promote scalability into your business.

In just 4 days, you'll build knowledge on how to effectively utilise AWS data analytics and how it fits in the data lifecycle of collection, storage, processing and visualisation. You'll also learn how to:

• Define AWS data analytics services and understand how they integrate with each other
• Leverage tools to automate Data Analysis

At the end of your course, you'll sit exam DAS-C01, and get your AWS Certified Data Analytics – Specialty certification. You'll learn at twice the speed, get access to courseware and learn from certified instructors through Firebrand's Lecture | Lab | Review methodology.

Who is this course for?

If you are in a Data Analytics-focused role, this course is ideal for you.

AWS Certified Big Data Specialty

AWS Certified Data Analytics Specialty certification is an updated version of AWS Certified Big Data Specialty certification.

With Data Analytics and Big Data representing increasingly changing fields, the term ‘Data Analytics' relates more closely to what Amazon Web Services (AWS) offers.

Building Data Lakes on AWS

• Module 1: Introduction to data lakes
• Module 2: Data ingestion, cataloguing, and preparation
• Module 3: Data processing and analytics
• Module 4: Building a data lake with AWS Lake Formation
• Module 5: AWS Lake Formation additional configurations

Building Data Analytics Solutions Using Amazon Redshift:

• Module 1: Using Amazon Redshift in the data analytics pipeline
• Module 2: Introduction to Amazon Redshift
• Module 3: Ingestion and storage
• Module 4: Processing and optimizing data
• Module 5: Security and monitoring of Amazon Redshift clusters
• Module 6: Designing data warehouse analytics solutions

Building Batch Data Analytics Solutions on AWS

• Module 1: Introduction to Amazon EMR
• Module 2: Data Analytics Pipeline using Amazon EMR: Ingestion and Storage
• Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
• Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive
• Module 5: Serverless Data Processing
• Module 6: Security and Monitoring of Amazon EMR clusters
• Module 7: Designing Batch Analytics Solutions

Building Streaming Data Analytics Solutions on AWS:

• Module 1: Using Streaming Services in the Data Analytics Pipeline
• Module 2: Introduction to AWS Streaming Services
• Module 3: Using Amazon Kinesis for Real-time Data Analytics
• Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis
• Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
• Module 6: Securing, Monitoring, and Optimizing Amazon MSK
• Module 7: Designing Streaming Data Analytics Solutions

Before attending this accelerated course, it’s recommended you possess the following:

• Minimum of 2 years' experience with AWS
• Minimum of 5 years’ experience with common data analytics technologies
• Experience and expertise working with AWS services to design, build, secure and maintain analytics solutions

Whilst not a formal prerequisite, due to the topics and content covered we strongly recommend that you take the AWS Certified Solutions Architect Associate and Professional course prior to this one.

As part of your accelerated course, you'll sit the official Analytics Specialty DAS-C01 exam at the Firebrand Training Centre, covered by your Certification Guarantee:

• Exam code: DAS-C01
• Format: Multiple-choice and multiple-response
• Passing score: 750 (scale of 100-1000)
• Duration: 180 minutes
• Languages: English, Japanese, Korean and simplified Chinese
• Domains:
1. Collection (18%)
2. Storage and Data Management (22%)
3. Processing (24%)
4. Analysis and Visualisation (18%)
5. Security (18%)