diff --git a/pipeline/config.yml b/pipeline/config.yml
index b996b07..0119a35 100644
--- a/pipeline/config.yml
+++ b/pipeline/config.yml
@@ -1,6 +1,9 @@
+# Output location for data files. Can be a local directory
+# or a remote path like "s3://path/to/bucket".
+data-dir: ./data-test
 # Whether to run data-processing tasks locally
 # or on the cloud with Coiled.
 local: true
-# Output location for data files. Can be a local directory
-# or a remote path like "s3://path/to/bucket".
-data-dir: ./data
+# If using Coiled (`local: false`), use this Coiled workspace.
+# Defaults to your default workspace.
+workspace: null
diff --git a/pipeline/dashboard.py b/pipeline/dashboard.py
index 6d72c3b..8048d9c 100644
--- a/pipeline/dashboard.py
+++ b/pipeline/dashboard.py
@@ -7,11 +7,11 @@
 from prefect import flow
 from rich import print
 
-from .settings import DASHBOARD_FILE, LOCAL, REGION
+from .settings import DASHBOARD_FILE, LOCAL, REGION, WORKSPACE
 
 port = 8080
-name = "etl-tpch-dashboard"
-subdomain = "etl-tpch"
+name = "dashboard"
+subdomain = "dashboard"
 
 
 def deploy():
@@ -22,6 +22,7 @@ def deploy():
     else:
         cmd = f"""
         coiled run \
+            --workspace {WORKSPACE} \
             --region {REGION} \
             --vm-type t3.medium \
             -f dashboard.py \
@@ -31,7 +32,6 @@ def deploy():
             -e AWS_ACCESS_KEY_ID={os.environ['AWS_ACCESS_KEY_ID']} \
             -e AWS_SECRET_ACCESS_KEY={os.environ['AWS_SECRET_ACCESS_KEY']} \
             --detach \
-            --keepalive '520 weeks' \
             --name {name} \
             -- \
             {cmd}
diff --git a/pipeline/data.py b/pipeline/data.py
index 93f1278..d2abbc9 100644
--- a/pipeline/data.py
+++ b/pipeline/data.py
@@ -4,16 +4,24 @@
 
 import coiled
 import duckdb
+import numpy as np
 import pandas as pd
 import psutil
 from dask.distributed import print
 from prefect import flow, task
 
-from .settings import LOCAL, PROCESSED_DIR, REGION, STAGING_DIR, fs, lock_generate
+from .settings import (
+    LOCAL,
+    PROCESSED_DIR,
+    REGION,
+    STAGING_DIR,
+    WORKSPACE,
+    fs,
+    lock_generate,
+)
 
 
 def new_time(t, t_start=None, t_end=None):
-
     d = pd.Timestamp("1998-12-31") - pd.Timestamp("1992-01-01")
     return t_start + (t - pd.Timestamp("1992-01-01")) * ((t_end - t_start) / d)
 
@@ -24,7 +32,7 @@ def new_time(t, t_start=None, t_end=None):
     local=LOCAL,
     region=REGION,
     vm_type="m6i.2xlarge",
-    tags={"workflow": "etl-tpch"},
+    account=WORKSPACE,
 )
 def generate(scale: float, path: os.PathLike) -> None:
     static_tables = ["customer", "nation", "part", "partsupp", "region", "supplier"]
@@ -84,12 +92,15 @@ def generate(scale: float, path: os.PathLike) -> None:
                     .rename(columns={"o_orderkey_new": "l_orderkey"})
                 )
 
-            # Shift times to be more recent
+            # Shift times to be more recent and lineitem prices to be non-uniform
             if table == "lineitem":
                 df["l_shipdate"] = new_time(
-                    df["l_shipdate"], t_start=now, t_end=now + pd.Timedelta("7 days")
+                    df["l_shipdate"], t_start=now, t_end=now + pd.Timedelta("3 days")
                 )
                 df = df.rename(columns={"l_shipdate": "l_ship_time"})
+                df["l_extendedprice"] = (
+                    np.random.rand(df.shape[0]) * df["l_extendedprice"]
+                )
             cols = [c for c in df.columns if "date" in c]
             df[cols] = new_time(
                 df[cols], t_start=now - pd.Timedelta("15 minutes"), t_end=now
diff --git a/pipeline/preprocess.py b/pipeline/preprocess.py
index 0ed1e57..ab5f5e0 100644
--- a/pipeline/preprocess.py
+++ b/pipeline/preprocess.py
@@ -11,6 +11,7 @@
     PROCESSED_DIR,
     REGION,
     STAGING_DIR,
+    WORKSPACE,
     fs,
     lock_compact,
     lock_json_to_parquet,
@@ -25,11 +26,11 @@
     retry_jitter_factor=1,
 )
 @coiled.function(
-    name="data-etl",
+    name="json-to-parquet",
     local=LOCAL,
     region=REGION,
     vm_type="m6i.2xlarge",
-    tags={"workflow": "etl-tpch"},
+    account=WORKSPACE,
 )
 def json_file_to_parquet(file):
     """Convert raw JSON data file to Parquet."""
@@ -60,10 +61,11 @@ def json_to_parquet():
 
 @task(log_prints=True)
 @coiled.function(
+    name="compact",
     local=LOCAL,
     region=REGION,
     vm_type="m6i.xlarge",
-    tags={"workflow": "etl-tpch"},
+    account=WORKSPACE,
 )
 def compact(table):
     print(f"Compacting table {table}")
diff --git a/pipeline/reduce.py b/pipeline/reduce.py
index 4cf5fe0..340539e 100644
--- a/pipeline/reduce.py
+++ b/pipeline/reduce.py
@@ -12,6 +12,7 @@
     PROCESSED_DIR,
     REGION,
     RESULTS_DIR,
+    WORKSPACE,
     fs,
     lock_compact,
     storage_options,
@@ -29,9 +30,9 @@ def unshipped_orders_by_revenue(segment):
         cluster = functools.partial(
             coiled.Cluster,
             name="reduce",
+            workspace=WORKSPACE,
             region=REGION,
-            n_workers=10,
-            tags={"workflow": "etl-tpch"},
+            n_workers=30,
             shutdown_on_close=False,
             idle_timeout="1 minute",
             wait_for_workers=True,
diff --git a/pipeline/settings.py b/pipeline/settings.py
index e9dced8..2a30f58 100644
--- a/pipeline/settings.py
+++ b/pipeline/settings.py
@@ -10,6 +10,7 @@
     data = yaml.safe_load(f)
 
 LOCAL = data["local"]
+WORKSPACE = data["workspace"]
 ROOT = Path(data["data-dir"]).resolve()
 fs = fsspec.filesystem(ROOT.protocol, use_listings_cache=False)