AWS DataBrew

AWS Glue DataBrew

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Jim Macaulay

architecture icon IT & Software,Other IT & Software,AWS cloud,DataBrew


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Course Description

The course is about AWS Glue DataBrew.

AWS Glue DataBrew is a new visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning. You can choose from over 250 pre-built transformations to automate data preparation tasks, all without the need to write any code. You can automate filtering anomalies, converting data to standard formats, and correcting invalid values, and other tasks. After your data is ready, you can immediately use it for analytics and machine learning projects. You only pay for what you use - no upfront commitment.

Using DataBrew, business analysts, data scientists, and data engineers can more easily collaborate to get insights from raw data. Because DataBrew is serverless, no matter what your technical level, you can explore and transform terabytes of raw data without needing to create clusters or manage any infrastructure.

With the intuitive DataBrew interface, you can interactively discover, visualize, clean, and transform raw data. DataBrew makes smart suggestions to help you identify data quality issues that can be difficult to find and time-consuming to fix. With DataBrew preparing your data, you can use your time to act on the results and iterate more quickly. You can save transformation as steps in a recipe, which you can update or reuse later with other datasets, and deploy on a continuing basis.

Who this course is for:

  • ETL Developers
  • Data Engineers
  • Data Architects
  • Business Analysts


What will you learn in this course:

  • AWS Glue DataBrew

  • Transformations using DataBrew

  • Cleanup and Normalize data

  • Data Profiling

  • Scheduling DataBrew Jobs


What are the prerequisites for this course?

  • No programming experience required. Basic understanding of ETL/ELT and Cloud Architecture is an advantage, but not mandatory

AWS DataBrew


Check out the detailed breakdown of what’s inside the course

3 Lectures
  • play icon AWS Glue DataBrew 00:59 00:59
  • play icon About the Course 00:34 00:34
  • play icon Overview 02:30 02:30
Creating Data Set
2 Lectures
Filter and Column
2 Lectures
Format, Clean and Extract
3 Lectures
Missing, Invalid, Duplicates and Outliers
4 Lectures
Split, Merge and Create
3 Lectures
Group, Join and Union
3 Lectures

Instructor Details

Jim Macaulay

Jim Macaulay

Senior Software Development Architect

My self Jim, am an experienced Software and Robotics Engineer with a demonstrated history of working in the financial services industry. Passionate about teaching and blogging. Am also a YouTuber and an Instructor. Skilled in Data Engineering with various ETL, Database and Cloud Technologies, and a Robotics Engineer. Strong consulting professional with a Master’s degree focused in Software Systems (Data Analytics) from Birla Institute of Technology and Science, Pilani.

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