AWS Certified Data Analytics Specialty 2024 – Hands On!

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84%OFF Coupon code for AWS Certified Data Analytics Specialty 2024 – Hands On! Udemy Course. This is an exclusive discount coupon from the course instructor, it will be active for few days. Check ENROLL NOW button to get a maximum discount. We manually verified coupon code on July 20th, 2024 .

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

Instructed by Stephane Maarek 16.5 hours on-demand video & 10 articles

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 

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 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.

Who this course is for:

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