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AWS Certified Data Analytics - Specialty Crash Course

Published by Pearson

Intermediate to advanced content levelIntermediate to advanced

The course is intended to prepare students for the newest AWS certification exam of 2020—the AWS Certified Data Analytics – Specialty (DAS-C01) exam. This training will cover the five knowledge domains of this certification exam:

  • Collection
  • Storage and Data Management
  • Processing
  • Analytics and Visualization
  • Security

Being a Data Analytics Professional is an exciting and sought-after position and the ability to demonstrate your knowledge of Data Analytics with one of the most recognizable certifications in the industry—the AWS Certified Data Analytics – Specialty certification—is a must. The certification proves the candidate is able to perform Data Analytics at scale in a cost efficient and secure manner.

What you’ll learn and how you can apply it

  • Design a Data Analytics Pipeline
  • Select the correct storage solution on AWS for ingestion, processing and long term persistence
  • Understand which processing approaches are available in the AWS platform
  • Understand Analytics and Visualization services and approaches available in AWS
  • Get the best possible chance to pass the exam

This live event is for you because...

  • Data Analytics Engineer who wants to migrate workloads to AWS.
  • Data Scientist who wants to run data analytics at scale in AWS.
  • Software Engineer who wants to utilize analytics services on AWS.
  • Product Manager who needs to understand the AWS Data Analytics Pipeline.

Prerequisites

  • Two or more years of experience with AWS
  • Three or more years of experience using Data Analytics tools like Spark, Hadoop, Presto, Hive, Sqoop, Oozie etc.
  • Ideally, candidates would have already passed the AWS Solutions Architect - Associate certification

Course Set-up

Recommended Preparation

Recommended Follow-up

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Day 1

Lesson 1: Introduction and Goals (15 min)

  • Overview of Data Analytics
  • Data Analytics on AWS
  • AWS Certified Data Analytics – Specialty (DAS-C01) knowledge domains
  • The AWS Certified Data Analytics – Specialty (DAS-C01) blueprint
  • How to Map AWS Services to Exam Knowledge Domains

Lesson 2: Exam Domain 1: Collection (55 min)

  • Overview of a Data Analytics Pipeline
  • Real-Time vs. Batch
  • Kinesis Data Streams
  • Kinesis Firehose
  • SQS for data ingestion
  • S3 for data ingestion
  • Spark Streaming on Elastic MapReduce (EMR)
  • AWS Managed Services for Kafka (MSK)

Break + Q/A (10 min)

Lesson 3: Exam Domain 2: Storage and Data Management (70 min)

  • Choosing a Data Store for Ingestion
  • S3 for data storage
  • Glue Data Catalogue
  • EBS and Instance Store
  • HDFS on Elastic MapReduce (EMR)
  • EFS/FSx
  • AWS Database Services Overview
  • RDS
  • NoSQL
  • RedShift

Break + Q&A (10 min)

Lesson 4: Exam Domain 3: Processing (70 min)

  • Processing Data on AWS
  • Processing Data in EC2
  • Overview of Elastic MapReduce (EMR)
  • EMR Engines and Frameworks
  • Ephemeral and Long Running EMR Clusters
  • Glue ETL
  • Containerization in Data Analytics
  • Processing Data using Lambda
  • Kinesis Data Analytics

Q&A (10 min)

Day 2

Lesson 5: Exam Domain 4: Analytics and Visualization (70 min)

  • Redshift overview
  • Optimizing Data for use with Redshift
  • AWS Elasticsearch
  • Presto and Hive on EMR
  • AWS Athena
  • AWS Quicksight

Break + Q&A (10 min)

Lesson 6: Exam Domain 5: Security (70 min)

  • AWS Shared Responsibility Model
  • Identity and Access Management (IAM)
  • Protecting Data Analytics Assets on the Network
  • Implementing Encryption At-rest and In-transit

Break + Q&A (10 min)

Lesson 7: Exam Prep (70 min)

  • Preparing for the Exam
  • Exam Tips & Tricks
  • Other Exam Prep Resources
  • Sample Questions

Course wrap-up and next steps + Q&A (10 min)

Your Instructor

Marko Sluga

Marko Sluga has more than 20 years of experience in IT and has worked on a variety of cloud-related projects, from the early stages of SOC, corporate virtualization, and open-source API offerings to modern, fully automated, intelligent, serverless, and cloud-native solutions. Marko has been working with Amazon Web Services (AWS) since the start of the 2010s and holds three associate, two professional, and six specialty AWS certifications. He performs training and advising on cloud technologies and strategies, Big Data, DevOps, and IT system, process, and cost optimization to clients from a wide range of companies, including startups, SMBs, enterprise businesses, and Fortune 500 companies. Marko runs his own cloud training, coaching, and consulting practice under the markocloud.com brand. He is the author of three AWS certification titles, including AWS Certified Developer–Associate (DVA-C01) Cert Guide.

Skill covered

AWS Certified Data Analytics - Specialty