AWS Certified Machine Learning: Data Movement
AWS
| Intermediate
- 14 videos | 34m 24s
- Includes Assessment
- Earns a Badge
As the amount of data being collected has exploded, it has become crucial for businesses to rapidly access, transform, and analyze data. From the traditional batch processing to the ever-evolving real-time data analytics, AWS has various tools to handle large volumes of data and perform real-time analytics to ensure high-service uptimes and personalize recommendations. Explore various Amazon tools like AWS Glue, AWS Data Catalog, and AWS Kinesis using this course. These tools are commonly used for data movement. This course will also help you understand how these processes function on the AWS platform and familiarize you with the data movement workflows. Data movement and processing are at the core of any data analysis, and after completing this course, you'll be familiar with multiple tools and approaches that can be used to conveniently transform raw data, combine databases, and stream data, Further, you'll be able to prepare for the AWS Certified Machine Learning - Specialty certification.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseDescribe how aws glue works and list its benefitsSpecify the capabilities of aws etl pipelinesRecognize aws glue's functionalityDefine data streaming and list its use cases and benefitsCompare the differences between traditional batch processing and evolving stream processingDescribe the functionality of aws kinesis and outline its features and workflows
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Describe the capabilities of working with aws kinesisSpecify how to work with video streams in aws kinesisSpecify how to work with data streams in aws kinesisDescribe how data firehouse functions in aws kinesisDescribe how to use aws kinesis for data analytics tasks, such as real-time alerts and actionsOutline the functionalities of aws kinesis data streamSummarize the key concepts covered in this course
IN THIS COURSE
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1m 19s
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2m 31sUpon completion of this video, you will be able to describe how AWS Glue works and list its benefits. FREE ACCESS
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2m 39sDuring this video, you will learn how to specify the capabilities of AWS ETL pipelines. FREE ACCESS
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7m 36sFind out how to recognize the functionality of AWS Glue. FREE ACCESS
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2m 20sLearn how to define data streaming and list its use cases and benefits. FREE ACCESS
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1m 50sIn this video, you will learn how to compare the differences between traditional batch processing and stream processing. FREE ACCESS
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1m 18sDuring this video, you will discover the functionality of AWS Kinesis and outline its features and workflows. FREE ACCESS
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1m 57sIn this video, you will learn how to describe the capabilities of working with AWS Kinesis. FREE ACCESS
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1m 51sDiscover how to specify how to work with video streams in AWS Kinesis. FREE ACCESS
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1m 8sIn this video, you will learn how to work with data streams in AWS Kinesis. FREE ACCESS
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1m 49sAfter completing this video, you will be able to describe how the data firehouse functions in AWS Kinesis. FREE ACCESS
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1m 24sIn this video, find out how to describe how to use AWS Kinesis for data analytics tasks, such as real-time alerts and actions. FREE ACCESS
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6m 5sUpon completion of this video, you will be able to outline the functionality of AWS Kinesis data stream. FREE ACCESS
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38sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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