v2022: The course has been fully updated for the latest AWS Certified Data Analytics-Specialty DAS-C01 exam (including new coverage of Glue DataBrew, Elastic Views, Glue Studio, OpenSearch, and AWS Lake Formation).

In this course, you will learn 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 an unlimited scale with Elastic MapReduce; 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 OpenSearch (formerly 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; and finally, keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more.

By the end of this course, you will be well-versed in the essential concepts and major domains necessary to pass the AWS DAS-C01 exam.

The code bundle is available at: https://github.com/PacktPublishing/AWS-Certified-Data-Analytics-Specialty-2022---Hands-On

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