Review the frameworks provided by AWS to work with big data services.
- [Instructor] To be a nimble company today means…drawing insights from any and all data sources.…Social media, system logs,…mobile applications, search queries,…all of them require an integrated data source…and the ability to process vast amounts of data…as quickly as possible.…Big data design use storage, processing, and analysis…to bring value.…What pieces of AWS are needed for big data work…and how they fit together to accomplish the job?…Let's take a look at three scenarios…that will form our AWS big data design.…
Our design scenarios are data warehousing,…mobile application analysis, and social media response.…For data warehousing, we'll use the AWS pieces,…S3 for storage, EMR for our cluster,…Redshift for our high-throughput analysis,…and QuickSight for our business intelligence.…This is the cleanest line of the tools.…It simply asks for data storage, retrieval,…and processing.…The tool can be built in minutes,…and I'll show you how to build the solution…later on in this course.…
Next, mobile application data analysis.…
Author
Released
11/9/2017- Comparing AWS to previous IT solutions
- Benefits of AWS
- AWS security and pricing
- Building big data on AWS
- Cloud storage and databases
- Data warehousing
- Backing up data
- AWS for mobile services
- IoT approaches
Skill Level Intermediate
Duration
Views
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Introduction
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Welcome49s
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1. Getting to Know Amazon Web Services (AWS)
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AWS introduction3m 7s
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The benefits of AWS3m 27s
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The AWS global footprint2m 3s
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AWS security3m 18s
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AWS pricing2m 42s
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The AWS free tier1m 48s
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2. Building Big Data on AWS
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AWS for big data work3m 25s
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AWS big data design patterns2m 29s
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AWS data warehousing1m 59s
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3. Backing Up Data with AWS
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AWS database backup2m 50s
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AWS office site backup1m 57s
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4. Mobile Solutions Using AWS
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AWS for mobile services2m 10s
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AWS Mobile Hub4m 17s
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AWS Mobile SDK1m 24s
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5. IoT Approaches with AWS
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AWS Greengrass1m 52s
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Conclusion
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AWS resource teardown2m 17s
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Next steps24s
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Video: AWS big data design patterns