Learn the basics of AWS Kinesis. Explore how Kinesis streams work and how it can help you when designing streaming data pipelines.
- [Lynn] The next service we're going to…look at is Kinesis and this is used…as a pipeline for working with data…that you're going to stream into an analytics solution.…So, when you work with Kinesis,…it's similar conceptually to Dynamo in…that it is a Managed Service.…You don't have to manage servers or scaling,…you just buy capacity, basically.…So, you have a couple of different options.…You need to define the stream type.…You can have a type of stream that is data…and you're going to need to set the size via a shard count,…and again, this is very similar to…what we saw in the previous movie with DynamoDB…with read/write capacity.…
You can set this to automatically scale…or you can control the scaling via the Mac shard count.…There is a new type of Kinesis stream…and that is for a different type of data,…that's Video Kinesis stream,…and there is enhancement to the core Data Kinesis streams,…it's called a delivery or a Firehose stream…and this is associated to certain types…of storage locations in Amazon, such as S3.…
- Explain the difference between files and databases. Identify examples of batching, micro-batching, and streaming. Prepare helpful data visualizations with QuickSight. Recognize the different types of analytics available in AWS. Demonstrate how to set up AWS CLI. Describe common analytics architecture patterns.
Skill Level Intermediate
Amazon Web Services for Data Sciencewith Lynn Langit3h 56m Intermediate
1. Analytics on AWS
2. Analytic Services
3. AWS Code Tools for Analytics
4. Advanced Analytics
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