AWS Certified Data Analytics Specialty 2022 – Hands On! Free Download

Get AWS Certified Data Analytics Specialty 2022 – Hands On! Free Download

[v2022: The course has been fully updated for the latest AWS Certified Data Analytics -Specialty DAS-C01 exam (including new coverage of Glue DataBrew, Elastic Views, Glue Studio, Opensearch, and AWS Lake Formation), and will be kept up-to-date all of 2022. Optional content for the previous AWS Certified Big Data – Speciality BDS-C01 exam remains as well as an appendix. Happy learning! ]

The AWS Certified Data Analytics Specialty Exam is one of the most challenging certification exams you can take from Amazon. Passing it tells employers in no uncertain terms that your knowledge of big data systems is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the big data technologies on the exam and how they fit together.

Best-selling Udemy instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course we’ve seen. Together, they’ve taught over 1,500,000 people around the world. This course combines Stéphane’s depth on AWS with Frank’s experience in Big Data, gleaned during his 9-year career at Amazon itself. Both Frank and Stéphane have taken and passed the exam themselves on the first try.

The world of data analytics on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:

  • Streaming massive data with AWS Kinesis
  • Queuing messages with Simple Queue Service (SQS)
  • Wrangling the explosion data from the Internet of Things (IOT)
  • Transitioning from small to big data with the AWS Database Migration Service (DMS)
  • Storing massive data lakes with the Simple Storage Service (S3)
  • Optimizing transactional queries with DynamoDB
  • Tying your big data systems together with AWS Lambda
  • Making unstructured data query-able with AWS Glue, Glue ETL, Glue DataBrew, Glue Studio, and Lake Formation
  • Processing data at unlimited scale with Elastic MapReduce, including Apache SparkHiveHBasePrestoZeppelinSplunk, and Flume
  • Applying neural networks at massive scale with Deep Learning, MXNet, and Tensorflow
  • Applying advanced machine learning algorithms at scale with Amazon SageMaker
  • Analyzing streaming data in real-time with Kinesis Analytics
  • Searching and analyzing petabyte-scale data with Amazon Opensearch (formerly Elasticsearch) Service
  • Querying S3 data lakes with Amazon Athena
  • Hosting massive-scale data warehouses with Redshift and Redshift Spectrum
  • Integrating smaller data with your big data, using the Relational Database Service (RDS) and Aurora
  • Visualizing your data interactively with Quicksight
  • Keeping your data secure with encryption, KMSHSMIAMCognitoSTS, and more

Throughout the course, you’ll have lots of opportunities to reinforce your learning with hands-on exercises and quizzes. And when you’re done, this course includes a practice exam that’s very similar to the real exam in difficulty, length, and style – so you’ll know if you’re ready before you invest in taking it. We’ll also arm you with some valuable test-taking tips and strategies along the way.

Data analytics is an advanced certification, and it’s best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners.

You want to go into the AWS Certified Data Analytics Specialty Exam with confidence, and that’s what this course delivers. Hit the enroll button, and we’re excited to see you in the course… and ultimately to see you get your certification!

Who this course is for:

  • Experienced technologists seeking certification in Big Data technologies on Amazon Web Services.

Course Content:


  • Course Overview
  • Introducing Our Hands on- Case study:
  • Udemy 101
  • Cost of the Course + AWS Budget Setup

Domain 1: Collection

  • Kinesis Data store overview
  • Kinesis producers
  • Kinesis Consumer
  • Kinesis Data Streams – Hands On
  • Kinesis Enhance Fan out
  • Kinesis Scaling
  • Kinesis – Handling Duplicate Records
  • Kinesis Security
  • Kinesis Data firehose
  • Cloudwatch Subscription Filter ad Kinesis
  • [Exercise] Kinesis Firehose , Part 1
  • [Exercise] Kinesis Firehose , Part 2
  • [Exercise] Kinesis Firehose , Part 3
  • [Exercise] Kinesis Data Stream
  • SQS Overview
  • Kinesis Data Streams vs SQS
  • IoT Overview
  • IoT Components Deep Dive
  • Database Migration Service (DMS)
  • Direct Connect
  • Snow Family
  • MSK: Managed Streaming for Apache Kafka
  • MSK Connect
  • MSK Serverless
  • Kinesis vs MSK

Domain 2 : Storage

  • S3 Overview
  • S3 Hands On
  • S3 Storage Classes
  • S3 Storage Classes – Hands On
  • S3 Lifecycle Rules
  • S3 Lifecycle Rules – Hands On
  • S3 Versioning
  • S3 Versioning – Hands On
  • S3 Replication
  • S3 Replication – Hands On
  • S3 Performance
  • S3 EncryptionPreview
  • S3 Encryption – Hands On
  • S3 Security & Bucket Policies
  • S3 Security & Bucket Policies – Hands On
  • S3 & Glacier Select
  • S3 Event Notifications
  • S3 Event Notifications – Hands On
  • DynamoDB Overview
  • DynamoDB Basics – Hands On
  • DynamoDB In Big data
  • DynamoDB RCU & WCU – Throughput
  • DynamoDB RCU & WCU – Hands On
  • DynamoDB Basic APIs
  • DynamoDB Basic APIs – Hands On
  • DynamoDB Indexes (GSI + LSI)
  • DynamoDB Indexes (GSI + LSI) – Hands On
  • DynamoDB PartiQL
  • DynamoDB DAX
  • DynamoDB DAX – Hands On
  • DynamoDB Streams
  • DynamoDB Streams – Hands On
  • DynamoDB TTL
  • DynamoDB Patterns with S3
  • DynamoDB Security
  • [Exercise] DynamoDB
  • ElastiCache Overview

Domain 2 : processing

  • What is AWS Lambda?
  • Lambda Integration – Part
  • Lambda Integration – Part 2
  • Lambda Costs, Promises, and Anti-Patterns
  • [Exercise] AWS LambdaPreview
  • Quiz: AWS Lambda5 questions
  • What is Glue? + Partitioning your Data Lake
  • Glue, Hive, and ETL
  • Modifying the Glue Data Catalog from ETL Scripts
  • Glue ETL: Developer Endpoints, Running ETL Jobs with Bookmarks
  • Glue Costs and Anti-Patterns
  • Quiz: AWS Glue5 questions
  • AWS Glue Studio
  • AWS Glue DataBrew
  • AWS Glue Elastic Views (coming soon…)
  • AWS Lake Formation
  • Elastic MapReduce (EMR) Architecture and UsagePreview08:38
  • EMR, AWS integration, and Storage
  • EMR Promises; Intro to Hadoop
  • EMR Serverless
  • Intro to Apache SparkPreview
  • Spark Integration with Kinesis and RedshiftPreview
  • Hive on EMRPreview
  • Pig on EMRPreview
  • HBase on EMRPreview
  • Presto on EMR
  • Zeppelin and EMR Notebooks
  • Hue, Splunk, and Flume
  • S3DistCP and Other Services
  • EMR Security and Instance Types
  • [Exercise] Elastic MapReduce, Part 1
  • [Exercise] Elastic MapReduce, Part 2
  • [Quiz] EMR and the Hadoop Ecosystem5 questions
  • AWS Data Pipeline
  • AWS Step Functions

Domain 4 : Analysis

  • Section Introduction: Analysis
  • Intro to Kinesis Analytics
  • Kinesis Analytics Costs; RANDOM_CUT_FORESTPreview
  • [Exercise] Kinesis Analytics, Part 1
  • [Exercise] Kinesis Analytics, Part 2
  • [Exercise] Kinesis Analytics, Part 3
  • [Exercise] Kinesis Analytics, Part 4
  • Quiz: Kinesis Analytics
  • Note: Amazon Elasticsearch has been renamed to “Amazon OpenSearch”
  • Intro to Opensearch (formerly Elasticsearch
  • Amazon Opensearch Service
  • Opensearch Index Management and Designing for Stability
  • Amazon Opensearch Service Performance
  • [Exercise] Amazon Opensearch Service
  • Quiz: Amazon ES
  • Intro to Athena
  • Athena and Glue, Costs, and Security
  • Athena Performance
  • Athena ACID Transaction
  • [Exercise] AWS Glue and Athena
  • Quiz: Amazon Athena
  • Redshift Intro and Architecture
  • Redshift Spectrum and Performance Tuning
  • Redshift Durability and Scaling
  • Redshift Distribution StylesPreview
  • Redshift Sort Keys
  • Redshift Data Flows and the COPY command
  • Redshift Integration / WLM / Vacuum / Anti-Pattern
  • Redshift Resizing (elastic vs. classic) and new Redshift features in 2020
  • Newer Redshift Features, AQUA
  • Redshift Security Concerns
  • Redshift Serverless
  • Note, a free trial of Redshift is available.
  • [Exercise] Redshift Spectrum, Pt. 1
  • [Exercise] Redshift Spectrum, Pt. 2
  • Quiz: Amazon Redshift
  • Amazon Relational Database Service (RDS) and Aurora

Domain 5 : Visualization

  • Section Introduction: Visualization
  • Intro to Amazon Quicksight
  • Quicksight Pricing and Dashboards; ML Insights
  • Quicksight Q
  • Choosing Visualization Types
  • [Exercise] Amazon Quicksight
  • Quiz: Amazon Quicksight
  • Other Visualization Tools (HighCharts, D3, etc)

Domain 5 : Security

  • Encryption 101
  • S3 Encryption (Reminder
  • KMS Overview
  • KMS Key Rotation
  • Cloud HSM Overview
  • AWS Services Security Deep Dive (1/3)Preview
  • AWS Services Security Deep Dive (2/3)
  • AWS Services Security Deep Dive (3/3)
  • STS and Cross Account Access
  • Identity Federation
  • Policies – Advanced
  • CloudTrail
  • VPC Endpoints
  • Security Quiz

Everything Else:

  • AWS Services Integrations
  • Instance Types for Big Data
  • EC2 for Big Data
  • Interacting with Data with AWS AppSync and Amazon Kendra
  • AWS Data Exchange
  • Amazon AppFlow
  • AWS Cleanup

Preparing for the exam:

  • Exam Tips
  • State of Learning Checkpoin
  • Exam Walkthrough and Signup
  • Save 50% on your AWS Exam Cost!
  • Get an Extra 30 Minutes on your AWS Exam – Non Native English Speakers only

Practice Exam:

  • AWS Certified Data Analytics Specialty Practice Exam

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