5.31 GB | 12.5 hours | 1179 kb/s | MP4 | 1280x720 | aac, 44100 Hz, 2 channels

Comprehensive, hands-on AWS DAS-C01 certification prep, with a practice exam! Kinesis, EMR, DynamoDB, Redshift and more

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.

Who this course is for

:

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

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