tweak spelling and docker hub sources

docker/docker-compose-single-dc-setup.yaml

@@ -27,7 +27,7 @@ services:
         retries: 5
 
   venice-controller:
-    image: venicedb/venice-controller:0.4.263
+    image: venicedb/venice-controller:0.4.340
     container_name: venice-controller
     hostname: venice-controller
     depends_on:
@@ -41,7 +41,7 @@ services:
         retries: 5
 
   venice-server:
-    image: venicedb/venice-server:0.4.263
+    image: venicedb/venice-server:0.4.340
     container_name: venice-server
     hostname: venice-server
     depends_on:
@@ -55,7 +55,7 @@ services:
         retries: 5
 
   venice-router:
-    image: venicedb/venice-router:0.4.263
+    image: venicedb/venice-router:0.4.340
     container_name: venice-router
     hostname: venice-router
     depends_on:
@@ -69,7 +69,7 @@ services:
         retries: 5
 
   venice-client:
-    image: venicedb/venice-client:0.4.263
+    image: venicedb/venice-client:0.4.340
     container_name: venice-client
     hostname: venice-client
     tty: true
@@ -81,7 +81,7 @@ services:
     build:
       args:
         spark_version: 3.1.2
-    image: venicedb/venice-client-jupyter:latest-dev
+    image: venicedb/venice-client-jupyter:0.4.340
     container_name: venice-client-jupyter
     hostname: venice-client-jupyter
     ports:

docker/venice-client-jupyter/Venice_Demo.ipynb

@@ -48,7 +48,7 @@
     "\n",
     "### What is Spark?\n",
     "\n",
-    "[Apache Spark](https://spark.apache.org/) is an open sourced data processing engine that is quite popular.  It enables users to set up data processing jobs in a distributed manner on a cluster (if you're familiar with Hadoop you probably understand some of the core concepts).  Venice supports writing data to a Venice store via Spark, and we will show case that capability here.  In the below cell, we'll use python and pyspark as our means to programmatically interact with a spark cluster that is running as part of this demo.\n",
+    "[Apache Spark](https://spark.apache.org/) is an open source data processing engine that is quite popular.  It enables users to set up data processing jobs in a distributed manner on a cluster (if you're familiar with Hadoop you probably understand some of the core concepts).  Venice supports writing data to a Venice store via Spark, and we will show case that capability here.  In the below cell, we'll use python and pyspark as our means to programmatically interact with a spark cluster that is running as part of this demo.\n",
     "\n",
     "### What is our dataset?\n",
     "\n",
@@ -271,7 +271,7 @@
    "metadata": {},
    "source": [
     "<div style=\"background-color:rgba(0, 0, 0, 0.0470588);\">\n",
-    "And now finall, let's query this dataset from Venice!!\n",
+    "And now finally, let's query this dataset from Venice!!\n",
     "    </div>"
    ]
   },