AWS Certified Data Analytics Specialty 2020 (ex Big Data)
4.5 (3,603 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
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AWS Certified Data Analytics Specialty 2020 (ex Big Data)

Comprehensive, hands-on AWS DAS-C01 certification prep, with a practice exam! Kinesis, EMR, DynamoDB, Redshift and more
Bestseller
4.5 (3,603 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
24,511 students enrolled
Last updated 5/2020
English
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Current price: $129.99 Original price: $199.99 Discount: 35% off
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This course includes
  • 12.5 hours on-demand video
  • 6 articles
  • 1 Practice Test
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Maximize your odds of passing the AWS Certified Data Analytics Specialty exam
  • Note: The course is still valid for the AWS Big Data 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
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

[v2020: The course has been fully updated for the new AWS Certified Data Analytics -Specialty DAS-C01 exam, and will be kept up-to-date all of 2020. Optional content for the previous AWS Certified Big Data - Speciality BDS-C01 exam remains as well for those still scheduled for it. 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 300,000 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

  • 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.
Course content
Expand all 140 lectures 12:33:34
+ Introduction
6 lectures 14:26

AWS Certified Big Data is being renamed to AWS Certified Data Analytics in April 2020. We've taken the beta version of the new exam, and have updated this course to cover the material in it.

Preview 04:18

If you're new to Udemy, learn how to have the best experience with the Q&A feature, video controls, transcripts, captions, and reviews.

Preview 02:10
Get the Course Materials
00:07
Cost of the Course + AWS Budget Setup
01:47
+ Domain 1: Collection
21 lectures 02:06:47
Collection Section Introduction
01:29

We'll build up a system to populate an S3 data lake from EC2 server data, using Kinesis Firehose.

Preview 05:32

We'll build up a system to populate an S3 data lake from EC2 server data, using Kinesis Firehose.

Preview 06:30

We'll build up a system to populate an S3 data lake from EC2 server data, using Kinesis Firehose.

Preview 09:27
Troubleshooting Info for the Following Exercise
00:24

We'll create a Kinesis stream, and use the Kinesis Agent to send data from EC2 into it - and confirm data is being successfully sent and received. This will form the basis of our "order history app" that we'll build up across future exercises in this course.

Preview 07:09
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
+ Domain 2: Storage
23 lectures 01:58:14
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
03:46
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

We'll continue to flesh out our "order history app" by writing our order data from a Kinesis stream into a DynamoDB table, using a Kinesis consumer app on EC2 for now to bridge the two.

[Exercise] DynamoDB
09:04
ElastiCache Overview
02:04
Storage Quiz
19 questions
+ Domain 3: Processing
27 lectures 02:17:19
What is AWS Lambda?
04:49
Lambda Integration - Part 1
05:25
Lambda Integration - Part 2
05:54
Lambda Costs, Promises, and Anti-Patterns
03:36

We'll complete our "order history app" example by replacing our Kinesis consumer app with a Lambda function, which is serverless and more scalable.

Preview 08:27

Check the depth of your knowledge on AWS Lambda - you'll need to have listened carefully to the previous lectures!

Quiz: AWS Lambda
5 questions
What is Glue? + Partitioning your Data Lake
04:50
Glue, Hive, and ETL
01:53
Glue ETL: Developer Endpoints, Running ETL Jobs with Bookmarks
07:29
Glue Costs and Anti-Patterns
01:17

Check your knowledge on some of the finer points of AWS Glue crawlers, data catalogs, and ETL jobs.

Quiz: AWS Glue
5 questions
EMR, AWS integration, and Storage
06:41
EMR Promises; Intro to Hadoop
03:36
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
05:50

Let's use Apache Spark and it's machine learning library, MLLib, on an Amazon EMR cluster - to consume our order data in an S3 data lake, and produce product recommendations for our customers.

[Exercise] Elastic MapReduce, Part 1
10:28

Let's use Apache Spark and it's machine learning library, MLLib, on an Amazon EMR cluster - to consume our order data in an S3 data lake, and produce product recommendations for our customers.

[Exercise] Elastic MapReduce, Part 2
10:32

The world of Elastic MapReduce and the applications it can run is huge! Test your knowledge on a few of its finer points.

[Quiz] EMR and the Hadoop Ecosystem
5 questions
AWS Data Pipeline
05:15
AWS Step Functions
03:55
+ Machine Learning: AWS Certified Big Data exam only!
9 lectures 51:39
Should you take this section of the course?
00:17
Machine Learning 101
06:39
Classification Models
06:13
Amazon ML Service
05:54
SageMaker
07:39

If you have a new AWS account, you'll have to just watch the following exercise. But it's still important.

Note: Amazon Machine Learning Service is now deprecated!
00:21

We'll use Amazon's Machine Learning service to predict quantities for any given order, and learn the importance of cleaning your data of outliers along the way.

[Exercise] Amazon Machine Learning, Part 1
08:29

Part 2 of our exercise to predict order quantities with a linear regression from Amazon ML.

[Exercise] Amazon Machine Learning, Part 2
06:24

Test your knowledge of details of Amazon ML and SageMaker that may prove useful in the exam.

Quiz: Amazon Machine Learning and SageMaker
5 questions
+ Domain 4: Analysis
24 lectures 02:33:26
Section Introduction: Analysis
01:17
Intro to Kinesis Analytics
03:58

We'll build up a more complex application that monitors our incoming order data using Kinesis Analytics. If an anomalous order rate is detected, an alarm will be sent via text message to your cell phone using Lambda and SNS.

[Exercise] Kinesis Analytics, Part 1
09:51

We'll build up a more complex application that monitors our incoming order data using Kinesis Analytics. If an anomalous order rate is detected, an alarm will be sent via text message to your cell phone using Lambda and SNS.

[Exercise] Kinesis Analytics, Part 2
10:05

Test your knowledge of the intricacies of Kinesis Analytics.

Quiz: Kinesis Analytics
5 questions
Intro to Elasticsearch
09:23
Amazon Elasticsearch Service
07:29

In this hands-on activity, we'll spin up an Amazon Elasticsearch cluster, and configure Kinesis Firehose to dump Apache web server logs into it for querying and visualization with Kibana.

[Exercise] Amazon Elasticsearch Service, Part 1
11:13

In this hands-on activity, we'll spin up an Amazon Elasticsearch cluster, and configure Kinesis Firehose to dump Apache web server logs into it for querying and visualization with Kibana.

[Exercise] Amazon Elasticsearch Service, Part 2
08:40

In this hands-on activity, we'll spin up an Amazon Elasticsearch cluster, and configure Kinesis Firehose to dump Apache web server logs into it for querying and visualization with Kibana.

[Exercise] Amazon Elasticsearch Service, Part 3
05:42

Test your knowledge of Amazon's Elasticsearch Service.

Quiz: Amazon ES
5 questions
Intro to Athena
04:48
Athena and Glue, Costs, and Security
05:58

We'll use a Glue crawler to set up a Glue Data Catalog for our S3 order data, and then query it directly using Amazon Athena.

[Exercise] AWS Glue and Athena
09:09

Test your knowledge of when to use Athena, and how.

Quiz: Amazon Athena
5 questions
Redshift Intro and Architecture
08:38
Redshift Spectrum and Performance Tuning
04:50
Redshift Durability and Scaling
03:33
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

Let's launch a Redshift cluster, and use AWS Glue to provide a schema we can use to query our S3 order data via Redshift Spectrum.

[Exercise] Redshift Spectrum, Pt. 1
07:54
[Exercise] Redshift Spectrum, Pt. 2
06:24

The exam will expect a lot of depth on Redshift from you. Test your knowledge of the finer points.

Quiz: Amazon Redshift
5 questions
Amazon Relational Database Service (RDS) and Aurora
04:08
+ Domain 5: Visualization
6 lectures 37:56
Section Introduction: Visualization
00:52
Intro to Amazon Quicksight
07:03
Quicksight Pricing and Dashboards; ML Insights
04:33
Choosing Visualization Types
12:32

We'll set up QuickSight on top of our Redshift data warehouse, and scratch the surface of the visualizations it can produce.

[Exercise] Amazon Quicksight
10:12

Test your knowledge on the finer points of QuickSight.

Quiz: Amazon Quicksight
5 questions
Other Visualization Tools (HighCharts, D3, etc)
02:44
+ Domain 6: Security
12 lectures 01:10:55
Encryption 101
05:59
S3 Encryption (Reminder)
08:23
KMS Overview
06:03
Cloud HSM Overview
03:27
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
+ Everything Else
4 lectures 15:57
AWS Services Integrations
10:41
Instance Types for Big Data
02:45
EC2 for Big Data
02:04
AWS Cleanup
00:27
+ Preparing for the Exam
5 lectures 23:18
Exam Tips
09:12
State of Learning Checkpoint
06:29
Exam Walkthrough and Signup
04:47
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