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.

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

Just like the real exam, this practice exam tests five different domains:

• Collection

• Storage and Data Management

• Processing

• Analysis and Visualization

• Security

You'll need deep and broad knowledge of Glue, Redshift, Kinesis, Lambda, EMR, S3, Quicksight, and more to successfully pass this exam - just like the real one. And you'll also need to know how to use AWS Security services and tools to build data analytics systems that are secure.