Mon Feb 11, 11:00 AM - Mon Feb 11, 1:00 PM
AC Hotel by Marriott
4020 W Boy Scout Blvd, Tampa, FL 33607
Community: Westshore District
Description
Join us for Part 1 of our 2 part “Byte to Beautiful” course where we will teach you how to architect and execute an analytic strategy that drives your entire organization forward. In Part 1, we will get hands-on and create a pipeline able to feed a modern information ar
Event Details
Join us for Part 1 of our 2 part “Byte to Beautiful” course where we will teach you how to architect and execute an analytic strategy that drives your entire organization forward. In Part 1, we will get hands-on and create a pipeline able to feed a modern information architecture. We will then show you how to leverage GCP best practices to navigate data storage options like storing data for persisting methods (commonly used for data on the fly) vs. real-time analytics.
Creating this modern information architecture will enable us, in proceeding courses (Byte to Beautiful Pt2 & Beautiful to Smart) to align with analytic design patterns and machine learning models in the goal of enriching collaborative analytic tools for your workgroup and ultimately move us all closer to changing the way we work.
Learn how to:
Compare data pipeline toolsets across GCP, AWS, and Azure
Use a micro compute instance and python to scrape web content
Implement server-less features via Cloud Functions
Evaluate whether to use batch or streaming architectures in DataFlow
Clean, Enrich, and Persist data via DataPrep
Creating this modern information architecture will enable us, in proceeding courses (Byte to Beautiful Pt2 & Beautiful to Smart) to align with analytic design patterns and machine learning models in the goal of enriching collaborative analytic tools for your workgroup and ultimately move us all closer to changing the way we work.
Learn how to:
Compare data pipeline toolsets across GCP, AWS, and Azure
Use a micro compute instance and python to scrape web content
Implement server-less features via Cloud Functions
Evaluate whether to use batch or streaming architectures in DataFlow
Clean, Enrich, and Persist data via DataPrep