Getting Started with Databricks Tools for Understanding Massive Data Sets [Video]
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Getting Started with Databricks: Tools for Understanding Massive Data Sets
Robert Ilijason
English | 2021 | h264, yuv420p, 1280x720 | 44100 Hz, 2channels | Duration: 1h 1m | 113 MB
A hit-the-ground-running introduction to the expansive world of understanding your data. If you fail to understand what all the hoopla is around data analytics, but you know you need to jump in somewhere, this video is for you. Learning a handful of techniques you'll get started with turning great quantities of data into useful information that can help you better understand your own world of data.
This video is a user-friendly entry point that teaches you how to use machine learning algorithms to move from the trenches of data to making informed data-driven decisions. It begins with a brief introduction to data analysis and guidance on how to set up a development environment in Databricks. From there you will investigate data using popular tools such as SQL and Python on top of Apache Spark. From there you will move on to learning how to clean up data and prepare it for use in a machine-learning algorithm. The final segment offer guidance for presenting the results visually.
What You Will Learn
Investigate small and large datasets using SQL and Python
Clean and prepare data for advanced analytics
Run machine learning algorithms
Show data results using visualizations
Who This Video Is For
People who work with data, including analysts, data engineers, data scientists, and the data curious. Basic knowledge about the data field is assumed, but no special skills are needed.
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