Working on sparklyr logo showing up properly

html/sparklyr.qmd

@@ -15,16 +15,15 @@ execute:
 source("common.R")
 use_cheatsheet_logo(
   "sparklyr", 
-  alt = "Hex logo for sparklyr - Neon shooting stars of various shapes and sizes flying across a black and grey background.")
+  alt = "Hex logo for sparklyr - Neon shooting stars of various shapes and sizes flying across a black and grey background."
+  )
 sheet_name <- tools::file_path_sans_ext(knitr::current_input())
 pdf_preview_link(sheet_name)
 translation_list(sheet_name)
 ```
 
 <!-- Page 1 -->
 
-![](images/sparklyr-ds-workflow.png)
-
 # Connect
 
 ## Databricks Connect (v2)
@@ -142,9 +141,11 @@ sc <- spark_connect(master="local")
 
 **Qubole** - `spark_connect(method = "qubole")`
 
+![](images/spark-ds-workflow.png){fig-align="center"}
+
 # Import
 
-![](images/sparklyr-import.png){fig-alt="R push complete to Spark back to R collecting results. Also import from Source to Spark." fig-align="center" width="501"}
+![](images/spark-import.png){fig-alt="R push complete to Spark back to R collecting results. Also import from Source to Spark." fig-align="center" width="501"}
 
 Import data into Spark, not R
 
@@ -349,7 +350,7 @@ Supported in Databricks Connect v2
 -   `ml_save()` - Saves into a format that can be read by Scala and PySpark.
 -   `ml_read()` - Reads Spark object into sparklyr.
 
-![](images/sparklyr-save-retrieve.png){fig-alt="ml_pipeline() to ft_dplyr_transformer to ft_bucketizer() to ml_linear_regression() to ml_fit() to ml_save()." fig-align="center" width="501"}
+![](images/spark-save-retrieve.png){fig-alt="ml_pipeline() to ft_dplyr_transformer to ft_bucketizer() to ml_linear_regression() to ml_fit() to ml_save()." fig-align="center" width="501"}
 
 [spark.posit.co/guides/pipelines](https://spark.posit.co/guides/pipelines)