AWS Certified Data Analytics Specialty (2023) Hands-on

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.

Type
video
Category
Cloud & Networking
publication date
2019-05-31
what you will learn

Store big data with S3 and DynamoDB in a scalable, secure manner
Move and transform massive data streams with Amazon Kinesis
Use the Hadoop ecosystem with AWS using Elastic MapReduce
Discover various methods to analyze big data
Visualize big data in the cloud using AWS QuickSight
Keep your data secure with encryption, KMS, HSM, IAM, Cognito, and STS

duration
993
key features
Master the domains needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01) * Apply machine learning to massive datasets with Amazon ML, SageMaker, and deep learning * Find tips and techniques to analyze, visualize, and process big data
approach
In this course, you will have lots of opportunities to reinforce your learning with hands-on exercises and quizzes. When you are done, this course includes a practice exam that’s very similar to the real exam in difficulty, length, and style—so you will know if you are ready before you invest in taking it. We will also arm you with some valuable test-taking tips and strategies along the way.
audience
This course is for experienced technologists seeking certification in big data technologies through Amazon Web Services. If you are looking to achieve this certification, it is recommended to have associate-level certification first.
meta description
Maximize your chances of passing the AWS DAS-C01 exam with excellence.
short description
This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.
subtitle
Prepare for the AWS DAS-C01 exam with the help of quizzes, exercises, and practice exams
keywords
AWS Certified Data Analytics - Specialty Exam, AWS DAS-C01, Kinesis, EMR, DynamoDB, Redshift, Data Analytics, Data Visualization, Data Processing, Security
Product ISBN
9781838983383