Explore the differences between batched and streaming data. Learn about the practicalities of implementing both batches and data streams.
- [Instructor] The next concept in analytics…is the input types.…And there's two considerations here,…the data that you're going to be working with…and what's called batch or stream.…Batch means sent in groups.…So in other words, are you sending a group of new data…into your database, for example, every 24 hours?…Every hour?…Every minute?…This data is generally processed as a group…and often as a transaction.…Transaction means it either all gets successfully processed.…
And by processed it usually means added or written…to either the file store or to the database.…Or if it does not get successfully get written,…then nothing gets written.…So all or none.…So understanding the business needs in terms…of the data coming around batch,…particularly around transaction integrity…is really, really key to setting up the…appropriate analytics solutions.…In addition to batch, increasingly there's…data that's coming in streams.…
Now, where I'm seeing this is in events.…So for example if you have IoT devices…and you have changes in the value of the IoT device.…
- AWS analytics design concepts
- Files vs. databases
- Which analytics type to use
- Using code tools for analytics
- AWS IoT device message analytics
- Working with data using Spark commands
- Using AWS QuickSight for visualizations
- Top analytics architectural patterns and their associated AWS services
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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