AWS Developer Associate 2021: AWS Analytics Services
Amazon Web Services 2021
| Intermediate
- 14 Videos | 1h 40m 54s
- Includes Assessment
- Earns a Badge
Once you've collected and stored data and files in AWS, it is essential to be able to do something with them. Luckily, Amazon provides analytics services to capture, process, query, and stream from other AWS services, data stores, and databases. Use this course to gain a theoretical comprehension of how these services work. Explore the capabilities of Amazon AppFlow, Amazon Athena, Amazon CloudSearch, Amazon Elasticsearch Service, Amazon EMR, AWS Glue, AWS Lake, and Amazon Kinesis Data Streams. Moving on, practice creating an Amazon Kinesis stream and an Amazon Kinesis Data Analytics application, process data from an Amazon Kinesis stream, and create an Amazon Kinesis Data Firehose. This course is part of a collection that prepares learners for the AWS Certified Developer - Associate 2021 certification exam.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedescribe what Amazon AppFlow is used for, outline its core features, and summarize setup requirementsoutline what Amazon Athena is used for and describe some of its core data-related capabilities and componentsdescribe what Amazon CloudSearch is used for, list its multiple functionalities, and outline how to manage itdescribe the features and components of the Amazon Elasticsearch Service (ES) and list some considerations for working with itdescribe the features, advantages, and architecture of Amazon EMR and outline how to set it updescribe how the AWS Glue service is used, detailing functionality, concepts, components, and other key considerations
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describe the functionality and components of AWS Lake Formation, how to set it up, and the main security considerations involveddescribe what Amazon Kinesis Data Streams is used for, its advantages, how to work with it, and other considerationsconfigure and create an Amazon Kinesis stream to collect datacreate an Amazon Kinesis Data Analytics application to aggregate sensor data in real timeprocess data from an Amazon Kinesis stream using an AWS Lambda functioncreate an Amazon Kinesis Data Firehose to deliver data from an Amazon Kinesis streamsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 10sUP NEXT
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2.Amazon AppFlow Features and Requirements11m 54s
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3.Amazon Athena Uses, Components, and Capabilities7m 6s
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4.Amazon CloudSearch Functionality and Management8m 44s
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5.Amazon Elasticsearch Service Features and Components7m 24s
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6.Amazon EMR Features, Advantages, and Architecture7m 57s
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7.AWS Glue Functionality, Concepts, and Components7m 55s
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8.AWS Lake Formation Functionality and Components6m 3s
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9.Amazon Kinesis Data Streams Activities & Advantages6m 57s
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10.Creating an Amazon Kinesis Stream8m
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11.Aggregating an Amazon Kinesis Stream8m 16s
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12.Processing Stream Data11m 26s
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13.Delivering an Amazon Kinesis Stream6m 9s
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14.Course Summary54s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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