AWS Certified Data Analytics Specialty 2021 – Hands On!

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AWS DAS-C01 certification prep course with exercises. Kinesis, EMR, DynamoDB, Redshift and more!

Course Information

[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. 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!

Ashok Kumar Yadav

Thank you Frank & Stephane for the awesome course. The course teaches real world big data cloud skills for solutioning & architecting. Really helpful for clearing AWS certification. Highly Recommended!! I cleared my exam in first attempt.

Srinivas Brahmadevara

This is the best hands-on course for AWS Data Analytics certification exam. Frank and Stephane are great instructors. The quizzes provided at the end of each section would help you test your understanding of the concepts.

Pruthvi T Reddy

Passed the exam today – this was really helpful.

Velusamy Marimuthan

Thank you Frank Kane and Stéphane Maarek for putting together such a comprehensive course with hands-on exercises. The practice exam and explanations to each question was great as well. I was able to pass this difficult exam with great ease. I highly recommend this course to everyone.

Stephen K Stetler

I can’t believe I’ve barely started this course and it already covers so much more detail than A Cloud Guru’s.

Course Instructors

Frank Kane Frank Kane Author

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.

Stephane Maarek Stephane Maarek Author

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. 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!

Buy This Course

$49.99

Learn at your own pace! Lifetime access to all videos and materials for this course, with a one-time payment.

Free for Members

FREE

Get unlimited access to our entire course catalog in machine learning and big data, including this course! Cancel any time.

Introduction

Domain 1: Collection

Domain 2: Storage

Domain 3: Processing

Domain 4: Analysis

Domain 5: Visualization

Domain 6: Security

Everything Else

Preparing for the Exam

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