This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. In this specialization, you will gain hands-on experience with AWS services used for big data collection, storage, processing, and analysis. Explore Amazon S3, DynamoDB, Kinesis, and other AWS tools to manage large-scale data. Learn about real-time data streaming and processing techniques, integrating services like Lambda and Glue, all while focusing on security practices for big data in the AWS cloud. The journey starts with data collection through Kinesis, IoT, and SQS, followed by storage techniques using S3 and DynamoDB. You will then explore data processing with Lambda and Glue, automating workflows. Finally, you’ll dive into data analytics using Athena, Redshift, and Elasticsearch, while learning to visualize data with QuickSight and manage security with IAM and CloudTrail. This specialization is ideal for professionals with basic AWS knowledge, aiming to specialize in big data. It's designed for cloud architects, data engineers, and developers with prior AWS experience. While prior knowledge is recommended, all key concepts are thoroughly covered. By the end of the specialization, you will be able to design data workflows, use AWS services to process big data, and ensure security across your data management tasks.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATION1 ay
What you'll learn
Amazon S3
Amazon DynamoDB
Internet Of Things
AWS Kinesis
Real Time Data
Data Storage Technologies
Cloud Computing
Big Data
Data Storage
Cloud Storage
Data Collection
Data Security
Course Content
3 topics
Kurs 1Big Data Collection and Storage in AWS
Kurs 2Processing and Analyzing Big Data in AWS
Kurs 3Data Visualization and Security in AWS Big Data
Details
ProviderPackt
TypeCourse
CategoryIT & Cloud
LevelAdvanced
Duration1 ay
LanguageEnglish
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