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Advance your skills and knowledge in Data Analytics by learning from AWS experts
Data Warehousing on AWS
3 Days | Level: Intermediate
Discover concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. You will also learn how to collect, store, and prepare data for the data warehouse by using other AWS services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon Simple Storage Service (Amazon S3) and explore techniques to use business intelligence (BI) tools to perform analysis on your data.
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Building a Serverless Data Lake
1 Day | Level: Intermediate
This one-day course is formulated to educate you techniques of designing, building, and operating a serverless data lake solution with AWS services. It will cover topics such as ingesting data from any data source at large scale, storing the data securely and durably, enabling the capability to use the right tool to process large volumes of data, and understanding the options available for analyzing the data in near-real time.
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Big Data on AWS
3 Days | Level: Intermediate
Get to familiarize yourself on cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. You'll discover how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. This course also guides you on building Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security and cost-effectiveness.
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