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Updating the following: #27

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merged 1 commit into from Jan 6, 2017
Merged

Updating the following: #27

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2 changes: 0 additions & 2 deletions _site.yml
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Expand Up @@ -29,8 +29,6 @@ navbar:
href: news/index.html
- text: "Cheatsheet"
href: images/sparklyr-cheatsheet.pdf

right:
- icon: fa-github fa-lg
href: https://github.com/rstudio/sparklyr
output:
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2 changes: 1 addition & 1 deletion deployment_examples.Rmd
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Expand Up @@ -63,6 +63,6 @@ div(class = "col-sm-12", br())
### Amazon's EC2

```{r, echo=FALSE}
div(class = "col-sm-6","You can create a Spark cluster without Hadoop using Spark’s standalone mode. In this example will show you how to set up a standalone cluster in Amazon’s EC2.")
div(class = "col-sm-6","You can create a Spark cluster without Hadoop using Spark standalone mode. In this example will show you how to set up a standalone cluster in Amazon EC2.")
thumbnail("Stand-alone", "images/spark-sa-setup.png", "examples-sa.html")
```
2 changes: 1 addition & 1 deletion extensions.Rmd
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Expand Up @@ -48,7 +48,7 @@ Here are links to some additional examples of extension packages:
| Package | Description |
|----------------------------|---------------------------------------------|
| [`spark.sas7bdat`](https://github.com/bnosac/spark.sas7bdat) | Read in SAS data in parallel into Apache Spark. |
| [`rsparkling`](https://github.com/h2oai/sparkling-water/tree/rsparkling/r) | Extension for using H2O machine learning algorithms against Spark Data Frames. |
| [`rsparkling`](https://github.com/h2oai/rsparkling) | Extension for using H2O machine learning algorithms against Spark Data Frames. |
| [`sparkhello`](https://github.com/jjallaire/sparkhello) | Simple example of including a custom JAR file within an extension package. |
| [`rddlist`](https://github.com/clarkfitzg/rddlist) | Implements some methods of an R list as a Spark RDD (resilient distributed dataset). |

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