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2021-03-08 17:22:00
30-Day Money-Back Guarantee
IT & Software IT Certification AWS Certification

AWS Certified Data Analytics Specialty 2021 - Hands On!

Practice exam included! AWS DAS-C01 certification prep course with exercises. Kinesis, EMR, DynamoDB, Redshift and more!
Bestseller
Rating: 4.5 out of 54.5 (6,744 ratings)
43,953 students
Created by Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Solutions Architect & Developer Associate, Frank Kane
Last updated 4/2021
English
English [Auto], French [Auto], 
30-Day Money-Back Guarantee

What you'll learn

  • Maximize your odds of passing the AWS Certified Data Analytics Specialty exam
  • Move and transform massive data streams with Kinesis
  • Store big data with S3 and DynamoDB in a scalable, secure manner
  • Process big data with AWS Lambda and Glue ETL
  • Use the Hadoop ecosystem with AWS using Elastic MapReduce
  • Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning
  • Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
  • Visualize big data in the cloud using AWS QuickSight
Curated for the Udemy for Business collection

Requirements

  • You must have an AWS account to follow along with the hands-on activities. The services used will cost a few dollars in AWS fees (it costs us $5 USD)
  • AWS recommends associate-level certification before attempting the AWS Data Analytics exam. It is an advanced and challenging exam.

Description

[v2021: The course has been fully updated for the new AWS Certified Data Analytics -Specialty DAS-C01 exam (including new coverage of Glue DataBrew, Elastic Views, Glue Studio, and AWS Lake Formation), and will be kept up-to-date all of 2021. 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 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 Spark, Hive, HBase, Presto, Zeppelin, Splunk, 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 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, KMS, HSM, IAM, Cognito, STS, 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 Analtyics 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.

Featured review

Joseph Porter
Joseph Porter
39 courses
8 reviews
Rating: 5.0 out of 5a year ago
Well thought out, succinct and reinforces everything you need to know for the exam. It delivers on its promise to make you more confident to sit for the exam. Frank and Stephane work well together in this course, teaching the core concepts necessary to understand AWS Big Data in a working sense. Thanks guys!

Course content

12 sections • 144 lectures • 13h 9m total length

  • Preview02:53
  • Preview03:11
  • Preview02:10
  • Get the Course Materials
    00:07
  • Cost of the Course + AWS Budget Setup
    01:47

  • Collection Section Introduction
    01:29
  • Preview06:53
  • Preview09:29
  • Preview07:54
  • Preview03:30
  • Preview05:05
  • Preview01:15
  • Preview08:17
  • Preview05:32
  • Preview07:39
  • Preview09:29
  • Troubleshooting Info for the Following Exercise
    00:24
  • Preview07:09
  • SQS Overview
    06:59
  • Kinesis Data Streams vs SQS
    04:34
  • IoT Overview
    09:27
  • IoT Components Deep Dive
    07:12
  • Database Migration Service (DMS)
    06:56
  • Direct Connect
    03:35
  • Snowball
    06:20
  • MSK: Managed Streaming for Apache Kafka
    08:50
  • Collection Quiz
    19 questions

  • S3 Overview
    07:46
  • S3 Storage Tiers
    12:17
  • S3 Lifecycle Rules
    07:39
  • S3 Versioning
    03:10
  • S3 Cross Region Replication
    04:39
  • S3 ETags
    03:20
  • S3 Performance
    06:13
  • Preview08:23
  • S3 Security
    05:17
  • Glacier & Vault Lock Policies
    03:06
  • S3 & Glacier Select
    01:47
  • DynamoDB Overview
    06:31
  • DynamoDB RCU & WCU
    09:05
  • DynamoDB Partitions
    03:01
  • DynamoDB APIs
    08:43
  • DynamoDB Indexes: LSI & GSI
    04:36
  • DynamoDB DAX
    02:50
  • DynamoDB Streams
    02:27
  • DynamoDB TTL
    04:04
  • DynamoDB Security
    00:58
  • DynamoDB: Storing Large Objects
    03:41
  • [Exercise] DynamoDB
    09:04
  • ElastiCache Overview
    02:04
  • Storage Quiz
    19 questions

  • Preview01:22
  • What is AWS Lambda?
    04:49
  • Lambda Integration - Part 1
    05:25
  • Lambda Integration - Part 2
    06:04
  • Lambda Costs, Promises, and Anti-Patterns
    04:51
  • Preview08:27
  • Quiz: AWS Lambda
    5 questions
  • What is Glue? + Partitioning your Data Lake
    06:03
  • Glue, Hive, and ETL
    09:39
  • Glue ETL: Developer Endpoints, Running ETL Jobs with Bookmarks
    03:45
  • Glue Costs and Anti-Patterns
    03:02
  • Quiz: AWS Glue
    5 questions
  • AWS Glue Studio
    05:27
  • AWS Glue DataBrew
    08:48
  • AWS Glue Elastic Views (coming soon...)
    01:37
  • AWS Lake Formation
    05:17
  • Preview08:38
  • EMR, AWS integration, and Storage
    07:44
  • EMR Promises; Intro to Hadoop
    06:02
  • Preview08:54
  • Preview03:46
  • Preview07:33
  • Preview02:10
  • Preview04:01
  • Presto on EMR
    03:00
  • Zeppelin and EMR Notebooks
    04:34
  • Hue, Splunk, and Flume
    04:05
  • S3DistCP and Other Services
    04:37
  • EMR Security and Instance Types
    04:53
  • [Exercise] Elastic MapReduce, Part 1
    10:28
  • [Exercise] Elastic MapReduce, Part 2
    10:32
  • [Quiz] EMR and the Hadoop Ecosystem
    5 questions
  • AWS Data Pipeline
    05:15
  • AWS Step Functions
    03:55

  • Section Introduction: Analysis
    01:17
  • Intro to Kinesis Analytics
    03:58
  • Preview02:19
  • [Exercise] Kinesis Analytics, Part 1
    09:51
  • [Exercise] Kinesis Analytics, Part 2
    10:05
  • Quiz: Kinesis Analytics
    5 questions
  • Intro to Elasticsearch
    09:23
  • Amazon Elasticsearch Service
    07:29
  • [Exercise] Amazon Elasticsearch Service, Part 1
    11:13
  • [Exercise] Amazon Elasticsearch Service, Part 2
    08:40
  • [Exercise] Amazon Elasticsearch Service, Part 3
    05:42
  • Quiz: Amazon ES
    5 questions
  • Intro to Athena
    04:48
  • Athena and Glue, Costs, and Security
    05:58
  • [Exercise] AWS Glue and Athena
    09:09
  • Quiz: Amazon Athena
    5 questions
  • Redshift Intro and Architecture
    08:38
  • Redshift Spectrum and Performance Tuning
    04:50
  • Redshift Durability and Scaling
    03:33
  • Preview02:52
  • Redshift Sort Keys
    03:08
  • Redshift Data Flows and the COPY command
    07:37
  • Redshift Integration / WLM / Vacuum / Anti-Patterns
    10:49
  • Redshift Resizing (elastic vs. classic) and new Redshift features in 2020
    03:41
  • Note, a free trial of Redshift is available.
    00:16
  • [Exercise] Redshift Spectrum, Pt. 1
    07:54
  • [Exercise] Redshift Spectrum, Pt. 2
    06:24
  • Quiz: Amazon Redshift
    5 questions
  • Amazon Relational Database Service (RDS) and Aurora
    04:08

  • Section Introduction: Visualization
    00:52
  • Intro to Amazon Quicksight
    07:03
  • Quicksight Pricing and Dashboards; ML Insights
    04:34
  • Choosing Visualization Types
    12:32
  • [Exercise] Amazon Quicksight
    10:12
  • Quiz: Amazon Quicksight
    5 questions
  • Other Visualization Tools (HighCharts, D3, etc)
    02:44

  • Encryption 101
    05:59
  • S3 Encryption (Reminder)
    08:23
  • KMS Overview
    06:03
  • Cloud HSM Overview
    02:24
  • AWS Services Security Deep Dive (1/3)
    Preview05:48
  • AWS Services Security Deep Dive (2/3)
    05:09
  • AWS Services Security Deep Dive (3/3)
    08:37
  • STS and Cross Account Access
    02:29
  • Identity Federation
    09:45
  • Policies - Advanced
    05:59
  • CloudTrail
    05:58
  • VPC Endpoints
    03:18
  • Security Quiz
    18 questions

  • AWS Services Integrations
    10:41
  • Instance Types for Big Data
    02:45
  • EC2 for Big Data
    02:04
  • AWS Cleanup
    00:27

  • Exam Tips
    09:12
  • State of Learning Checkpoint
    06:29
  • Exam Walkthrough and Signup
    04:02
  • Save 50% on your AWS Exam Cost!
    01:41
  • Get an Extra 30 Minutes on your AWS Exam - Non Native English Speakers only
    01:09

  • AWS Certified Data Analytics Specialty Practice Exam
    65 questions

Instructors

Sundog Education by Frank Kane
Founder, Sundog Education. Machine Learning Pro
Sundog Education by Frank Kane
  • 4.5 Instructor Rating
  • 101,260 Reviews
  • 454,988 Students
  • 22 Courses

Sundog Education's mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford. 

Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

Due to our volume of students we are unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.

Stephane Maarek | AWS Certified Solutions Architect & Developer Associate
Best Selling Instructor, Kafka Guru, 9x AWS Certified
Stephane Maarek | AWS Certified Solutions Architect & Developer Associate
  • 4.7 Instructor Rating
  • 247,244 Reviews
  • 791,619 Students
  • 38 Courses

Stephane is a solutions architect, consultant and software developer that has a particular interest in all things related to Big Data, Cloud & API. He's also a many-times best seller instructor on Udemy for his courses in Apache Kafka and AWS.

[See FAQ below to see in which order you can take my courses]

Stéphane is recognized as an AWS Hero and is an AWS Certified Solutions Architect Professional & AWS Certified DevOps Professional. He loves to teach people how to use the AWS properly, to get them ready for their AWS certifications, and most importantly for the real world.

He also loves Apache Kafka. He sits on the 2019 Program Committee organizing the Kafka Summit in New York, London and San Francisco. He is also an active member of the Apache Kafka community, authoring blogs on Medium and a guest blog for Confluent.  

During his spare time he enjoys cooking, practicing yoga, surfing, watching TV shows, and traveling to awesome destinations!

FAQ: In which order should you learn?...

AWS Cloud: Start with AWS Certified Solutions Architect Associate, then move on to AWS Certified Developer Associate and then AWS Certified SysOps Administrator. Afterwards you can either do AWS Certified Solutions Architect Professional or AWS Certified DevOps Professional, or a specialty certification of your choosing. Once ready, you can learn AWS Lambda and AWS CloudFormation in depth, or do the AWS Big Data certification.

Apache Kafka: Start with Apache Kafka for Beginners, then you can learn Connect, Streams and Schema Registry if you're a developer, and Setup and Monitoring courses if you're an admin. Both tracks are needed to pass the Confluent Kafka certification.

gRPC: First do the protocol buffers course, then move on to gRPC Java or gRPC Golang course.


In order to share knowledge I am not able to respond to private messages on Udemy. If you're a student, please ask questions inside the course. Thanks for understanding!

Frank Kane
Founder, Sundog Education
Frank Kane
  • 4.5 Instructor Rating
  • 97,594 Reviews
  • 410,167 Students
  • 14 Courses

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

Due to our volume of students, I am unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.

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