Update getting-started section

spiceaidocs/content/en/getting-started/_index.md

@@ -132,4 +132,180 @@ Output:
 +------------------+-------------+
 
 Query took: 0.002458976 seconds
-```
+```
+
+## Next Steps
+
+You can use any number of predefined datasets available from Spice.ai in the Spice Runtime.
+
+A list of publically available datasets from Spice.ai can be found here: https://docs.spice.ai/building-blocks/datasets.
+
+In order to access public datasets from Spice, you will first need to create an account with Spice.ai by selecting the free tier membership.
+
+Navigate to https://spice.ai/ and create a new account by clicking on Try for Free.
+
+<img width="500" alt="spiceai_try_for_free-1" src="https://github.com/spiceai/spiceai/assets/112157037/27fb47ed-4825-4fa8-94bd-48197406cfaa">
+
+After creating an account, you will need to create an app in order to create to an API key.
+
+![create_app-1](https://github.com/spiceai/spiceai/assets/112157037/d2446406-1f06-40fb-8373-1b6d692cb5f7)
+
+You will now be able to access datasets from Spice.ai. For this demonstration, we will be using the Spice.ai/eth.recent_blocks dataset.
+
+**Step 1.** In a new directory, log in and authenticate from the command line using the `spice login` command. A pop up browser window will prompt you to authenticate:
+
+```bash
+spice login
+```
+
+**Step 2.** Initialize a new project if you haven't already done so. Then, start the runtime:
+
+```bash
+spice init my_spiceai_project
+```
+
+```bash
+spice run
+```
+
+**Step 3.** Configure the dataset:
+
+In a new terminal window, configure a new dataset using the `spice dataset configure` command:
+
+```bash
+spice dataset configure
+```
+
+You will be prompted to enter a name. Enter a name that represents the contents of the dataset
+
+```bash
+dataset name: (default) eth_recent_blocks
+```
+
+Enter the description of the dataset:
+
+```
+description: eth recent logs
+```
+
+Enter the location of the dataset:
+
+```bash
+from: spice.ai/eth.recent_blocks
+```
+
+Select `y` when prompted whether to accelerate the data:
+
+```bash
+Locally accelerate (y/n)? y
+```
+
+You should see the following output from your runtime terminal:
+
+```bash
+2024-02-21T22:49:10.038461Z  INFO runtime: Loaded dataset: eth_recent_blocks
+```
+
+**Step 4.** In a new terminal window, use the Spice SQL REPL to query the dataset
+
+```bash
+spice sql
+```
+
+```bash
+SELECT number, size, gas_used from eth_recent_blocks LIMIT 10;
+```
+
+The output displays the results of the query along with the query execution time:
+
+```bash
++----------+--------+----------+
+| number   | size   | gas_used |
++----------+--------+----------+
+| 19281345 | 400378 | 16150051 |
+| 19281344 | 200501 | 16480224 |
+| 19281343 | 97758  | 12605531 |
+| 19281342 | 89629  | 12035385 |
+| 19281341 | 133649 | 13335719 |
+| 19281340 | 307584 | 18389159 |
+| 19281339 | 89233  | 13391332 |
+| 19281338 | 75250  | 12806684 |
+| 19281337 | 100721 | 11823522 |
+| 19281336 | 150137 | 13418403 |
++----------+--------+----------+
+
+Query took: 0.004057791 seconds
+```
+
+You can experiment with the time it takes to generate queries when using non-accelerated datasets. You can change the acceleration setting from `true` to `false` in the datasets.yaml file.
+
+## Importing dataset from Dremio
+
+**Step 1.** If you have a dataset hosted in Dremio, you can load it into the Spice Runtime as follows:
+
+```bash
+spice login dremio -u <USERNAME> -p <PASSWORD>
+```
+
+**Step 2.** If you haven't already initialized a new project, you need to do so. Then, start the Spice Runtime.
+
+```bash
+spice init dremio-demo-project
+```
+
+```bash
+spice run
+```
+
+**Step 3.** We now configure the dataset from Dremio:
+
+```bash
+spice dataset configure
+```
+
+Enter the name of the dataset:
+
+```bash
+dataset name: (default)  my_dataset
+```
+
+Enter the description of the dataset:
+
+```
+description: my dataset in dremio
+```
+
+Specify the location of the dataset:
+
+```bash
+from: dremio:datasets.my_dataset
+```
+
+Select "y" when prompted whether to locally accelerate the dataset:
+
+```bash
+Locally accelerate (y/n)? y
+```
+
+We should now see the following output:
+
+```
+Dataset settings written to `datasets/my_dataset/dataset.yaml`!
+```
+
+If the login credentials were entered correctly, your dataset will have loaded into the runtime. You should see the following in the Spice runtime terminal :
+
+```
+2024-02-14T18:34:15.174564Z  INFO spiced: Loaded dataset: my_dataset
+2024-02-14T18:34:15.175189Z  INFO runtime::datasource: Refreshing data for my_dataset
+```
+
+**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 `my_dataset` in the runtime.