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+
+## Spice.ai Quickstart Tutorial using Dremio
+
+This quickstart will use a demo instance of Dremio with a sample dataset.  No need to set up a Dremio instance, but the same steps can be used to connect to any Dremio instance available. 
+
+**Step 1.** Set the login credentials that the Spice runtime will use when accessing Dremio.
+
+```bash
+spice login dremio -u demo -p demo1234
+```
+
+**Step 2.** Initialize a Spice project and start the runtime:
+
+```bash
+spice init dremio-demo
+```
+
+```bash
+cd dremio-demo
+spice run
+```
+
+**Step 3.** Configure the dataset to connect to Dremio:
+
+```bash
+spice dataset configure
+```
+
+Enter the name of the dataset:
+
+```bash
+dataset name: (dremio-demo)  taxi_trips
+```
+
+Enter the description of the dataset:
+
+```
+description: taxi trips data in Dremio
+```
+
+Specify the location of the dataset:
+
+```bash
+from: dremio:datasets.taxi_trips
+```
+
+Specify the Dremio endpoint:
+
+```bash
+endpoint: grpc://20.163.171.8:32010
+```
+
+Select "y" when prompted whether to locally accelerate the dataset:
+
+```bash
+Locally accelerate (y/n)? y
+```
+
+The CLI will confirm the dataset has been configured with the following output:
+
+```bash
+Dataset settings written to `datasets/dremio-demo/dataset.yaml`!
+```
+
+And the content of dataset.yaml is the following:
+
+```yaml
+from: dremio:datasets.taxi_trips
+name: taxi_trips
+description: dremio taxi trips
+params:
+  endpoint: grpc://20.163.171.8:32010
+acceleration:
+  enabled: true
+  refresh_interval: 10s
+  refresh_mode: full
+```
+
+The Spice runtime terminal will show that the dataset has been loaded:
+
+```
+2024-03-27T05:36:38.106740Z  INFO runtime: Loaded dataset: taxi_trips
+2024-03-27T05:36:38.107138Z  INFO runtime::dataconnector: Refreshing data for taxi_trips
+```
+
+**Step 4.** Run queries against the dataset using the Spice SQL REPL.
+
+In a new terminal, start the Spice SQL REPL
+
+```bash
+spice sql
+```
+
+You can now now query `taxi_trips` in the runtime.
+
+```sql
+sql> select avg(total_amount), avg(tip_amount), count(1), passenger_count from taxi_trips group by passenger_count order by passenger_count asc;
++------------------------------+----------------------------+-----------------+-----------------+
+| AVG(taxi_trips.total_amount) | AVG(taxi_trips.tip_amount) | COUNT(Int64(1)) | passenger_count |
++------------------------------+----------------------------+-----------------+-----------------+
+| 23.2                         | 3.8666666666666667         | 3               | 0               |
+| 15.394881909237048           | 1.9225555830345078         | 80870           | 1               |
+| 17.714222499449633           | 1.9679687385337923         | 13627           | 2               |
+| 17.441359661495056           | 1.7930070521861776         | 3545            | 3               |
+| 17.219515789473682           | 1.345394736842105          | 1900            | 4               |
+| 21.122631578947367           | 1.36                       | 38              | 5               |
+| 22.401176470588236           | 2.764705882352941          | 17              | 6               |
++------------------------------+----------------------------+-----------------+-----------------+
+
+Query took: 0.03832875 seconds
+```
+
+**Next Steps**
+This quickstart accelerates query performance using [Spice Data Accelerators](https://docs.spiceai.org/data-accelerators).  Experiment with different acceleration options by editing the dataset.yaml file or removing acceleration altogether to have the Spice runtime query the Dremio instance directly.
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