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title: Using Databricks with R | ||
title: Add workshop title here | ||
author: | ||
- name: Edgar Ruiz | ||
- name: Instructor 1 name | ||
affiliations: | ||
- name: Posit PBC | ||
- name: Instructor 1 affiliation | ||
- name: Instructor 2 name (remove if single instructor) | ||
affiliations: | ||
- name: Instructor 2 affiliation | ||
description: | | ||
Overview of the latests methods to connect, and interact with | ||
Databricks services. | ||
categories: [databricks, databases, Spark, dplyr] | ||
1-sentence summary of workshop. | ||
categories: [add, comma, separated, categories] | ||
--- | ||
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# Description | ||
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As most organization's data migrate to the cloud, the ability to analyze data in-place becomes more important. This workshop will walk you through how to think about remote data, how to access it, and how to analyze it efficiently. We will review the latest in integrations between R and Databricks. The two integrations that we will review are: | ||
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- [Spark via Databricks Connect](https://spark.rstudio.com/deployment/databricks-connect.html) | ||
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- [ODBC connection](https://solutions.posit.co/connections/db/databases/databricks/) | ||
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During the workshop, we will discuss best practices for when to use which integration, as well as techniques to take your analysis into production. | ||
Full workshop description goes here. Multi-paragraph ok. | ||
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# Audience | ||
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This course is for you if you: | ||
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- Are an R user | ||
- list at least | ||
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- Plan, or are currently, using Databricks services | ||
- three attributes | ||
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- Need to learn how to access and analyze data in Databricks | ||
- for your target audience | ||
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# Instructor(s) | ||
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+----------------------------+--------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ||
| ![](images/edgar-ruiz.jpg) | | Edgar co-authored a book called “Mastering Spark with R,” and is currently the maintainer of the `sparklyr` package. Edgar has also authored multiple articles, blog posts sharing analytics insights, and server infrastructure for data science. He has a background in deploying enterprise reporting, and business intelligence solutions. | | ||
| | | | | ||
| | | <https://www.linkedin.com/in/edgararuiz/> | | ||
+----------------------------+--------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | ||
| | | | | ||
|------------------|------------------|-------------------------------------| | ||
| ![](images/name-lastname.jpg) | | Instructor bio, including link to homepage. | | ||
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