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Databricks and End-to-End Processes Alexander Brown Databricks and End-to-End Processes

Alex Brown Senior Consultant, Neudesic I Wear Sports Coats For a Reason I have been asked multiple times since I moved here to Arizona recently what high school I attend and I was told wearing a sports coat makes me look at least 18 Bad Actuary Alex Brown I personally consider myself a bad actuary. I graduated from the University of Wisconsin-Eau Claire in 2016 with a degree in Actuarial Science, but didn’t know about the tests until after graduation Senior Consultant, Neudesic Credentials https://www.linkedin.com/in/alexander-brown-56736b90/ Helped lead the migration of on premise to cloud solutions for one of the largest natural goods company in the Midwest on the Azure platform @ Alexander.brown@Neudesic.com

Brief Intro to Databricks Before we begin we have to discuss what databricks & databricks notebook are: “Databricks is a Unified Analytics Platform that runs on Apache Spark. It runs by spinning up ‘Clusters’ of Virtual Machines that quickly and effectively process queries, commands and scaling.” -Really Smart Guy A notebook is a web-based interface that contains runnable code, visualizations, and narrative text. This allows a data engineer, data scientist, and a data visualizer to work in a common workspace that can not only switch between 4 different coding languages (SQL, Python, R, and Scala) but also allows different graphing abilities to better view and gather insights from the data.

Databricks: a Unified Platform

What is a Unified Platform? “A uniformed platform eliminates the silos most traditional development and modeling tools create. Architecture, platform and core services are all built into one system. This slices development and delivery time and allows collaboration across the board from back-end to front-end developers.”

Who would use a Unified Platform? Data Engineers Data Scientists Data Visualizers

End-to-End Processes with Databricks

End-to-End Processes Databricks end-to-end process will include: Databricks Basics Structured Streaming Modifying the data type and structure Progression through different data layers Exploratory Data Analysis Advanced Machine Learning Bonus! Automation and Hidden Notebooks

DEMO

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