Update READMEs (#45)

* Update README.md

README.md

@@ -1,18 +1,18 @@
-# OpenTelemetry Data Sources for Java
+# OpenTelemetry Data Sources for Java (and other)
 
 This repository contains [OpenTelemetry](https://opentelemetry.io/) servers that can be embedded into other Java-based systems to act as data sources for `logs`, `metrics`, `traces` and `profiles` signals.
 
 Here you can also find implementations of such data sources for a few popular open source softwares and additional tools to use when working with OpenTelemetry data.
 
+You will also find additional tools, examples and demos that might be of service on your own OpenTelemetry journey.
+
 > [!TIP]
 > This is a public release of code we have accumulated internally over time and so far contains only a limited subset of what we intend to share.
 >
 > Examples of internal software that will be published here in the near future include:
 > 
 > - A small OTLP server based on [Apache BookKeeper](https://bookkeeper.apache.org/) for improved
 >   data ingestion reliability, even across node failures
-> - [Apache Superset](https://superset.apache.org/) charts and dashboards for OpenTelemetry
->   visualizations
 > - OpenTelemetry Data Sources for [Apache Pulsar](https://pulsar.apache.org/) for when more
 >   more complex preprocessing is needed
 > - Our [Testcontainers](https://testcontainers.com/) implementations that you can use to
@@ -29,6 +29,7 @@ Here you can also find implementations of such data sources for a few popular op
   - [Embed OTLP collectors in Java systems](#embeddable-collectors)
   - [Save OpenTelemetry to Apache Parquet files](#apache-parquet-stand-alone-server)
   - [Ingest OpenTelemetry into Apache Druid](#apache-druid-otlp-input-format)
+  - [Visualize OpenTelemetry with Apache Superset](#apache-superset-charts-and-dashboards)
 - [More about OpenTelemetry at mishmash io](#opentelemetry-at-mishmash-io)
 
 # Why you should switch to OpenTelemetry
@@ -78,6 +79,13 @@ using the [Apache Parquet Stand-alone server](./server-parquet) contained in thi
 
 If you are the sort of person who prefers to learn by looking at **actual data** - start with the [OpenTelemetry Basics Notebook.](./examples/notebooks/basics.ipynb)
 
+> [!TIP]
+> If you're wondering how to get your first OpenTelemetry data sets - check out [our fork of OpenTelemetry's Demo app.](https://github.com/mishmash-io/opentelemetry-demos)
+>
+> In there you will find complete deployments that will generate signals, save them and let you play with the data - by writing your own notebooks or creating
+> Apache Superset dashboards.
+> 
+
 # Artifacts
 
 ## Embeddable collectors
@@ -94,6 +102,7 @@ It is not intended for production use, but rather as a quick tool to save and ex
 Parquet files as saved by this Stand-alone server.
 - [README](./server-parquet)
 - [Javadoc on javadoc.io](https://javadoc.io/doc/io.mishmash.opentelemetry/server-parquet)
+- [Quick deployment with a demo app](https://github.com/mishmash-io/opentelemetry-demos)
 
 ## Apache Druid OTLP Input Format
 
@@ -112,7 +121,20 @@ like with [Apache BookKeeper](https://bookkeeper.apache.org) or [Apache Pulsar](
 Find out more about the OTLP Input Format for Apache Druid:
 - [README](./druid-otlp-format)
 - [Javadoc on javadoc.io](https://javadoc.io/doc/io.mishmash.opentelemetry/druid-otlp-format)
+- [Quick deployment with a demo app and Apache Superset](https://github.com/mishmash-io/opentelemetry-demos)
+
+## Apache Superset charts and dashboards
 
+![superset-dashboard](https://github.com/user-attachments/assets/8dba1e13-bcb3-41c9-ac40-0c023a3825c8)
+
+[Apache Superset](https://superset.apache.org/) is an open-source modern data exploration and visualization platform.
+
+You can use its rich visualizations, no-code viz builder and its powerful SQL IDE to build your own OpenTelemetry analytics.
+
+To get you started, we're publishing [data sources and visualizations](./superset-visualizations) that you can import into Apache Superset.
+
+- [Quick deployment with a demo app](https://github.com/mishmash-io/opentelemetry-demos)
+
 # OpenTelemetry at mishmash io
 
 OpenTelemetry's main intent is the observability of production environments, but at [mishmash io](https://mishmash.io) it is part of our software development process. By saving telemetry from  **experiments** and **tests** of