Merge pull request #23 from btbytes/main

(fix) incorrect aggregation script location

README.md

@@ -7,24 +7,25 @@
 Denormalized is a fast embeddable stream processing engine built on Apache DataFusion.
 It currently supports kafka as a real-time source and a sink, windowed aggregations, and stream joins.
 
-This repo is still a *work-in-progress* and we are actively seeking design partners. If you have have a specific use-case you'd like to discuss please drop us a line via a github issue or email [email protected].
-
-## Quickstart
+## Quick Start
 
 ### Prerequisites
+
 - Docker
 - Rust/Cargo installed
 
 ### Running an example
+
 1. Start kafka in docker `docker run -p 9092:9092 --name kafka apache/kafka`
 2. Start emitting some sample data: `cargo run --example emit_measurements`
-3. Run a [simple streaming aggregation](./examples/examples/simple_aggregation.rs) on the data using denormalized: `cargo run --example emit_measurements`
+3. Run a [simple streaming aggregation](./examples/examples/simple_aggregation.rs) on the data using denormalized: `cargo run --example simple_aggregation`
 
 ## More examples
 
-A more powerful example can be seen in our [kafka ridesharing example](./docs/kafka_rideshare_example.md)
+A more powerful example can be seen in our [Kafka ridesharing example](./docs/kafka_rideshare_example.md)
 
 ## Roadmap
+
 - [x] Stream aggregation
 - [x] Stream joins
 - [ ] Checkpointing / restoration
@@ -38,5 +39,6 @@ A more powerful example can be seen in our [kafka ridesharing example](./docs/ka
 
 ## Credits
 
-Denormalized is built and maintained by [Denormalized](https://www.denormalized.io) in San Francisco. Please drop in a line to
-[email protected] or simply open up a GitHub Issue!
+Denormalized is built and maintained by [Denormalized](https://www.denormalized.io) in San Francisco.
+
+This repo is still a *work-in-progress* and we are actively seeking design partners. If you have have a specific use-case you'd like to discuss please drop us a line via a [github issue](https://github.com/probably-nothing-labs/denormalized/issues) or email `[email protected]`.