Add guide for all languages.

Author: thild42

pages/platform/data-processing/42_TUTORIAL_notebook-data-cleaning/guide.de-de.md

@@ -0,0 +1,72 @@
+---
+title: Notebooks for Apache Spark - Data cleaning
+slug: notebook-spark-data-cleaning
+excerpt: Data cleaning of 2 CSV dataset with aggregation into a single clean Parquet file.
+section: Tutorials
+order: 3
+routes:
+    canonical: 'https://docs.ovh.com/de/data-processing/notebook-spark-data-cleaning/'
+updated: 2023-03-14
+---
+
+**Last updated March 14th, 2023**
+
+## Objective
+
+The purpose of this tutorial is to show how to clean data with [Apache Spark](https://spark.apache.org/) inside a [Jupyter Notebook](https://jupyter.org/).
+
+*Data Cleaning* or *Data Cleansing* is the preparation of raw data by detecting and correcting records within a dataset.
+
+The tutorial presents a simple data cleaning with `Notebooks for Apache Spark`.
+
+## Requirements 
+
+- A [Public Cloud project](https://www.ovhcloud.com/de/public-cloud/) in your OVHcloud account
+- Access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.de/&ovhSubsidiary=de)
+
+## Instructions
+
+### Upload data
+
+First, download these 2 datasets CSV files locally:
+* [books.csv](https://raw.githubusercontent.com/ovh/data-processing-samples/master/apache_spark_notebook_data_cleaning/books.csv)
+* [ratings.csv](https://raw.githubusercontent.com/ovh/data-processing-samples/master/apache_spark_notebook_data_cleaning/ratings.csv)
+
+Then, from the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.de/&ovhSubsidiary=de), go to the Object Storage section, locate your S3 bucket and upload your data by clicking `Add object`{.action}.
+
+Select both files from your computer and add them to the root `/` of your bucket.
+
+![image](images/object-storage-datasets.png){.thumbnail}
+
+### Retrieve bucket credentials
+
+There are a few information that we will need as inputs of the notebook.
+
+First, and while we're on the container page of the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.de/&ovhSubsidiary=de) we will copy the `Endpoint` information and save it.
+
+Go back to the Object Storage home page and then to the S3 users tab, copy the user's `access key` and save it.
+
+Finally, click on action "hamburger" at the end of the user row `(...)`{.action} > `View the secret key`{.action}, copy the value and save it.
+
+### Launch and access a Notebook for Apache Spark
+
+From the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.de/&ovhSubsidiary=de), go to the Data Processing section and create a new notebook by clicking `Data Processing`{.action} > `Create notebook`{.action}.
+
+You can then reach the `JupyterLab` URL directly from the notebooks list or from the notebook page.
+
+### Experiment with notebook
+
+Now that you have your initial datasets ready on an Object Storage and a notebook running, you could start cleaning this data!
+
+A preview of this notebook can be found on [GitHub](https://github.com/ovh/data-processing-samples/blob/master/apache_spark_notebook_data_cleaning/apache_spark_notebook_data_cleaning_tutorial.ipynb).
+
+### Go further
+
+- Do you want to create a data cleaning job you could replay based on your notebook? [Here it is](https://docs.ovh.com/de/data-processing/submit-python/).
+
+## Feedback
+
+Please send us your questions, feedback and suggestions to improve the service:
+
+- On the OVHcloud [Discord server](https://discord.com/invite/vXVurFfwe9)
+

pages/platform/data-processing/42_TUTORIAL_notebook-data-cleaning/guide.en-asia.md

@@ -0,0 +1,70 @@
+---
+title: Notebooks for Apache Spark - Data cleaning
+slug: notebook-spark-data-cleaning
+excerpt: Data cleaning of 2 CSV dataset with aggregation into a single clean Parquet file.
+section: Tutorials
+order: 3
+updated: 2023-03-14
+---
+
+**Last updated March 14th, 2023**
+
+## Objective
+
+The purpose of this tutorial is to show how to clean data with [Apache Spark](https://spark.apache.org/) inside a [Jupyter Notebook](https://jupyter.org/).
+
+*Data Cleaning* or *Data Cleansing* is the preparation of raw data by detecting and correcting records within a dataset.
+
+The tutorial presents a simple data cleaning with `Notebooks for Apache Spark`.
+
+## Requirements 
+
+- A [Public Cloud project](ttps://www.ovhcloud.com/asia/public-cloud/) in your OVHcloud account
+- Access to the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com/asia/&ovhSubsidiary=asia)
+
+## Instructions
+
+### Upload data
+
+First, download these 2 datasets CSV files locally:
+* [books.csv](https://raw.githubusercontent.com/ovh/data-processing-samples/master/apache_spark_notebook_data_cleaning/books.csv)
+* [ratings.csv](https://raw.githubusercontent.com/ovh/data-processing-samples/master/apache_spark_notebook_data_cleaning/ratings.csv)
+
+Then, from the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com/asia/&ovhSubsidiary=asia), go to the Object Storage section, locate your S3 bucket and upload your data by clicking `Add object`{.action}.
+
+Select both files from your computer and add them to the root `/` of your bucket.
+
+![image](images/object-storage-datasets.png){.thumbnail}
+
+### Retrieve bucket credentials
+
+There are a few information that we will need as inputs of the notebook.
+
+First, and while we're on the container page of the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com/asia/&ovhSubsidiary=asia) we will copy the `Endpoint` information and save it.
+
+Go back to the Object Storage home page and then to the S3 users tab, copy the user's `access key` and save it.
+
+Finally, click on action "hamburger" at the end of the user row `(...)`{.action} > `View the secret key`{.action}, copy the value and save it.
+
+### Launch and access a Notebook for Apache Spark
+
+From the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com/asia/&ovhSubsidiary=asia), go to the Data Processing section and create a new notebook by clicking `Data Processing`{.action} > `Create notebook`{.action}.
+
+You can then reach the `JupyterLab` URL directly from the notebooks list or from the notebook page.
+
+### Experiment with notebook
+
+Now that you have your initial datasets ready on an Object Storage and a notebook running, you could start cleaning this data!
+
+A preview of this notebook can be found on [GitHub](https://github.com/ovh/data-processing-samples/blob/master/apache_spark_notebook_data_cleaning/apache_spark_notebook_data_cleaning_tutorial.ipynb).
+
+### Go further
+
+- Do you want to create a data cleaning job you could replay based on your notebook? [Here it is](https://docs.ovh.com/asia/en/data-processing/submit-python/).
+
+## Feedback
+
+Please send us your questions, feedback and suggestions to improve the service:
+
+- On the OVHcloud [Discord server](https://discord.com/invite/vXVurFfwe9)
+

pages/platform/data-processing/42_TUTORIAL_notebook-data-cleaning/guide.en-au.md

@@ -0,0 +1,70 @@
+---
+title: Notebooks for Apache Spark - Data cleaning
+slug: notebook-spark-data-cleaning
+excerpt: Data cleaning of 2 CSV dataset with aggregation into a single clean Parquet file.
+section: Tutorials
+order: 3
+updated: 2023-03-14
+---
+
+**Last updated March 14th, 2023**
+
+## Objective
+
+The purpose of this tutorial is to show how to clean data with [Apache Spark](https://spark.apache.org/) inside a [Jupyter Notebook](https://jupyter.org/).
+
+*Data Cleaning* or *Data Cleansing* is the preparation of raw data by detecting and correcting records within a dataset.
+
+The tutorial presents a simple data cleaning with `Notebooks for Apache Spark`.
+
+## Requirements 
+
+- A [Public Cloud project](https://www.ovhcloud.com/en-au/public-cloud/) in your OVHcloud account
+- Access to the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com.au/&ovhSubsidiary=au)
+
+## Instructions
+
+### Upload data
+
+First, download these 2 datasets CSV files locally:
+* [books.csv](https://raw.githubusercontent.com/ovh/data-processing-samples/master/apache_spark_notebook_data_cleaning/books.csv)
+* [ratings.csv](https://raw.githubusercontent.com/ovh/data-processing-samples/master/apache_spark_notebook_data_cleaning/ratings.csv)
+
+Then, from the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com.au/&ovhSubsidiary=au), go to the Object Storage section, locate your S3 bucket and upload your data by clicking `Add object`{.action}.
+
+Select both files from your computer and add them to the root `/` of your bucket.
+
+![image](images/object-storage-datasets.png){.thumbnail}
+
+### Retrieve bucket credentials
+
+There are a few information that we will need as inputs of the notebook.
+
+First, and while we're on the container page of the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com.au/&ovhSubsidiary=au) we will copy the `Endpoint` information and save it.
+
+Go back to the Object Storage home page and then to the S3 users tab, copy the user's `access key` and save it.
+
+Finally, click on action "hamburger" at the end of the user row `(...)`{.action} > `View the secret key`{.action}, copy the value and save it.
+
+### Launch and access a Notebook for Apache Spark
+
+From the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com.au/&ovhSubsidiary=au), go to the Data Processing section and create a new notebook by clicking `Data Processing`{.action} > `Create notebook`{.action}.
+
+You can then reach the `JupyterLab` URL directly from the notebooks list or from the notebook page.
+
+### Experiment with notebook
+
+Now that you have your initial datasets ready on an Object Storage and a notebook running, you could start cleaning this data!
+
+A preview of this notebook can be found on [GitHub](https://github.com/ovh/data-processing-samples/blob/master/apache_spark_notebook_data_cleaning/apache_spark_notebook_data_cleaning_tutorial.ipynb).
+
+### Go further
+
+- Do you want to create a data cleaning job you could replay based on your notebook? [Here it is](https://docs.ovh.com/au/en/data-processing/submit-python/).
+
+## Feedback
+
+Please send us your questions, feedback and suggestions to improve the service:
+
+- On the OVHcloud [Discord server](https://discord.com/invite/vXVurFfwe9)
+

pages/platform/data-processing/42_TUTORIAL_notebook-data-cleaning/guide.en-ca.md

@@ -0,0 +1,70 @@
+---
+title: Notebooks for Apache Spark - Data cleaning
+slug: notebook-spark-data-cleaning
+excerpt: Data cleaning of 2 CSV dataset with aggregation into a single clean Parquet file.
+section: Tutorials
+order: 3
+updated: 2023-03-14
+---
+
+**Last updated March 14th, 2023**
+
+## Objective
+
+The purpose of this tutorial is to show how to clean data with [Apache Spark](https://spark.apache.org/) inside a [Jupyter Notebook](https://jupyter.org/).
+
+*Data Cleaning* or *Data Cleansing* is the preparation of raw data by detecting and correcting records within a dataset.
+
+The tutorial presents a simple data cleaning with `Notebooks for Apache Spark`.
+
+## Requirements 
+
+- A [Public Cloud project](https://www.ovhcloud.com/en-ca/public-cloud/) in your OVHcloud account
+- Access to the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com/ca/en/&ovhSubsidiary=ca)
+
+## Instructions
+
+### Upload data
+
+First, download these 2 datasets CSV files locally:
+* [books.csv](https://raw.githubusercontent.com/ovh/data-processing-samples/master/apache_spark_notebook_data_cleaning/books.csv)
+* [ratings.csv](https://raw.githubusercontent.com/ovh/data-processing-samples/master/apache_spark_notebook_data_cleaning/ratings.csv)
+
+Then, from the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com/ca/en/&ovhSubsidiary=ca), go to the Object Storage section, locate your S3 bucket and upload your data by clicking `Add object`{.action}.
+
+Select both files from your computer and add them to the root `/` of your bucket.
+
+![image](images/object-storage-datasets.png){.thumbnail}
+
+### Retrieve bucket credentials
+
+There are a few information that we will need as inputs of the notebook.
+
+First, and while we're on the container page of the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com/ca/en/&ovhSubsidiary=ca) we will copy the `Endpoint` information and save it.
+
+Go back to the Object Storage home page and then to the S3 users tab, copy the user's `access key` and save it.
+
+Finally, click on action "hamburger" at the end of the user row `(...)`{.action} > `View the secret key`{.action}, copy the value and save it.
+
+### Launch and access a Notebook for Apache Spark
+
+From the [OVHcloud Control Panel](https://ca.ovh.com/auth/?action=gotomanager&from=https://www.ovh.com/ca/en/&ovhSubsidiary=ca), go to the Data Processing section and create a new notebook by clicking `Data Processing`{.action} > `Create notebook`{.action}.
+
+You can then reach the `JupyterLab` URL directly from the notebooks list or from the notebook page.
+
+### Experiment with notebook
+
+Now that you have your initial datasets ready on an Object Storage and a notebook running, you could start cleaning this data!
+
+A preview of this notebook can be found on [GitHub](https://github.com/ovh/data-processing-samples/blob/master/apache_spark_notebook_data_cleaning/apache_spark_notebook_data_cleaning_tutorial.ipynb).
+
+### Go further
+
+- Do you want to create a data cleaning job you could replay based on your notebook? [Here it is](https://docs.ovh.com/ca/en/data-processing/submit-python/).
+
+## Feedback
+
+Please send us your questions, feedback and suggestions to improve the service:
+
+- On the OVHcloud [Discord server](https://discord.com/invite/vXVurFfwe9)
+

pages/platform/data-processing/42_TUTORIAL_notebook-data-cleaning/guide.en-gb.md

@@ -4,10 +4,10 @@ slug: notebook-spark-data-cleaning
 excerpt: Data cleaning of 2 CSV dataset with aggregation into a single clean Parquet file.
 section: Tutorials
 order: 3
-updated: 2023-03-10
+updated: 2023-03-14
 ---
 
-**Last updated March 10th, 2023**
+**Last updated March 14th, 2023**
 
 ## Objective
 
@@ -19,8 +19,8 @@ The tutorial presents a simple data cleaning with `Notebooks for Apache Spark`.
 
 ## Requirements 
 
-- Access to the [OVHcloud control panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB){.external}
-- A Public Cloud project
+- A [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
+- Access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB)
 
 ## Instructions
 
@@ -60,7 +60,7 @@ A preview of this notebook can be found on [GitHub](https://github.com/ovh/data-
 
 ### Go further
 
-- Do you want to create a data cleaning job you could replay based on your notebook? [Here it is](https://docs.ovh.com/fr/data-processing/submit-python/).
+- Do you want to create a data cleaning job you could replay based on your notebook? [Here it is](https://docs.ovh.com/gb/en/data-processing/submit-python/).
 
 ## Feedback
 

pages/platform/data-processing/42_TUTORIAL_notebook-data-cleaning/guide.en-ie.md

@@ -0,0 +1,70 @@
+---
+title: Notebooks for Apache Spark - Data cleaning
+slug: notebook-spark-data-cleaning
+excerpt: Data cleaning of 2 CSV dataset with aggregation into a single clean Parquet file.
+section: Tutorials
+order: 3
+updated: 2023-03-14
+---
+
+**Last updated March 14th, 2023**
+
+## Objective
+
+The purpose of this tutorial is to show how to clean data with [Apache Spark](https://spark.apache.org/) inside a [Jupyter Notebook](https://jupyter.org/).
+
+*Data Cleaning* or *Data Cleansing* is the preparation of raw data by detecting and correcting records within a dataset.
+
+The tutorial presents a simple data cleaning with `Notebooks for Apache Spark`.
+
+## Requirements 
+
+- A [Public Cloud project](https://www.ovhcloud.com/en-ie/public-cloud/) in your OVHcloud account
+- Access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.ie/&ovhSubsidiary=ie)
+
+## Instructions
+
+### Upload data
+
+First, download these 2 datasets CSV files locally:
+* [books.csv](https://raw.githubusercontent.com/ovh/data-processing-samples/master/apache_spark_notebook_data_cleaning/books.csv)
+* [ratings.csv](https://raw.githubusercontent.com/ovh/data-processing-samples/master/apache_spark_notebook_data_cleaning/ratings.csv)
+
+Then, from the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.ie/&ovhSubsidiary=ie), go to the Object Storage section, locate your S3 bucket and upload your data by clicking `Add object`{.action}.
+
+Select both files from your computer and add them to the root `/` of your bucket.
+
+![image](images/object-storage-datasets.png){.thumbnail}
+
+### Retrieve bucket credentials
+
+There are a few information that we will need as inputs of the notebook.
+
+First, and while we're on the container page of the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.ie/&ovhSubsidiary=ie) we will copy the `Endpoint` information and save it.
+
+Go back to the Object Storage home page and then to the S3 users tab, copy the user's `access key` and save it.
+
+Finally, click on action "hamburger" at the end of the user row `(...)`{.action} > `View the secret key`{.action}, copy the value and save it.
+
+### Launch and access a Notebook for Apache Spark
+
+From the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.ie/&ovhSubsidiary=ie), go to the Data Processing section and create a new notebook by clicking `Data Processing`{.action} > `Create notebook`{.action}.
+
+You can then reach the `JupyterLab` URL directly from the notebooks list or from the notebook page.
+
+### Experiment with notebook
+
+Now that you have your initial datasets ready on an Object Storage and a notebook running, you could start cleaning this data!
+
+A preview of this notebook can be found on [GitHub](https://github.com/ovh/data-processing-samples/blob/master/apache_spark_notebook_data_cleaning/apache_spark_notebook_data_cleaning_tutorial.ipynb).
+
+### Go further
+
+- Do you want to create a data cleaning job you could replay based on your notebook? [Here it is](https://docs.ovh.com/ie/en/data-processing/submit-python/).
+
+## Feedback
+
+Please send us your questions, feedback and suggestions to improve the service:
+
+- On the OVHcloud [Discord server](https://discord.com/invite/vXVurFfwe9)
+